Month: October 2022
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MDB has been the topic of several other research reports. Truist Financial assumed coverage on MongoDB in a research note on Friday, September 30th. They set a buy rating and a $300.00 price target on the stock. Stifel Nicolaus decreased their price target on MongoDB from $340.00 to $320.00 and set a buy rating on the stock in a research note on Thursday, September 1st. Piper Sandler decreased their price target on MongoDB from $375.00 to $350.00 and set an overweight rating on the stock in a research note on Thursday, September 1st. Royal Bank of Canada decreased their price target on MongoDB from $400.00 to $350.00 and set an outperform rating on the stock in a research note on Thursday, September 1st. Finally, Robert W. Baird cut their price objective on MongoDB from $360.00 to $330.00 and set an outperform rating for the company in a research report on Thursday, September 1st. One analyst has rated the stock with a hold rating and nineteen have issued a buy rating to the company. According to MarketBeat.com, the stock currently has a consensus rating of Moderate Buy and a consensus price target of $379.11.
MongoDB Price Performance
Shares of MDB opened at $189.97 on Tuesday. MongoDB has a twelve month low of $166.61 and a twelve month high of $590.00. The stock’s 50 day moving average is $257.39 and its two-hundred day moving average is $290.80. The firm has a market capitalization of $13.05 billion, a PE ratio of -35.44 and a beta of 1.16. The company has a current ratio of 4.02, a quick ratio of 4.02 and a debt-to-equity ratio of 1.70.
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MongoDB (NASDAQ:MDB – Get Rating) last announced its quarterly earnings results on Wednesday, August 31st. The company reported ($1.69) EPS for the quarter, missing the consensus estimate of ($1.52) by ($0.17). The firm had revenue of $303.66 million for the quarter, compared to analysts’ expectations of $282.31 million. MongoDB had a negative return on equity of 52.05% and a negative net margin of 33.43%. MongoDB’s revenue was up 52.8% compared to the same quarter last year. During the same period last year, the firm earned ($1.15) EPS. Research analysts anticipate that MongoDB will post -5.37 earnings per share for the current year.
Insider Transactions at MongoDB
In other news, CEO Dev Ittycheria sold 40,107 shares of the company’s stock in a transaction on Monday, October 3rd. The stock was sold at an average price of $199.87, for a total transaction of $8,016,186.09. Following the completion of the sale, the chief executive officer now directly owns 194,646 shares in the company, valued at approximately $38,903,896.02. The transaction was disclosed in a legal filing with the SEC, which is available at this link. In other news, CEO Dev Ittycheria sold 40,107 shares of the company’s stock in a transaction on Monday, October 3rd. The stock was sold at an average price of $199.87, for a total transaction of $8,016,186.09. Following the completion of the sale, the chief executive officer now directly owns 194,646 shares in the company, valued at approximately $38,903,896.02. The transaction was disclosed in a legal filing with the SEC, which is available at this link. Also, insider Thomas Bull sold 502 shares of the company’s stock in a transaction on Monday, October 3rd. The stock was sold at an average price of $198.84, for a total value of $99,817.68. Following the sale, the insider now owns 16,602 shares of the company’s stock, valued at $3,301,141.68. The disclosure for this sale can be found here. Insiders sold a total of 103,275 shares of company stock worth $23,925,529 in the last ninety days. Insiders own 5.70% of the company’s stock.
Institutional Trading of MongoDB
A number of institutional investors have recently added to or reduced their stakes in the business. Cambridge Investment Research Advisors Inc. boosted its position in MongoDB by 4.2% during the 3rd quarter. Cambridge Investment Research Advisors Inc. now owns 7,919 shares of the company’s stock worth $1,572,000 after purchasing an additional 321 shares during the period. Forsta AP Fonden boosted its position in MongoDB by 21.5% during the 3rd quarter. Forsta AP Fonden now owns 16,400 shares of the company’s stock worth $3,256,000 after purchasing an additional 2,900 shares during the period. National Bank of Canada FI boosted its position in MongoDB by 56.5% in the 3rd quarter. National Bank of Canada FI now owns 5,183 shares of the company’s stock valued at $1,007,000 after buying an additional 1,872 shares during the last quarter. IFM Investors Pty Ltd boosted its position in MongoDB by 5.1% in the 3rd quarter. IFM Investors Pty Ltd now owns 11,350 shares of the company’s stock valued at $2,254,000 after buying an additional 548 shares during the last quarter. Finally, Exchange Traded Concepts LLC boosted its position in MongoDB by 6.6% in the 3rd quarter. Exchange Traded Concepts LLC now owns 1,320 shares of the company’s stock valued at $262,000 after buying an additional 82 shares during the last quarter. 89.85% of the stock is owned by hedge funds and other institutional investors.
About MongoDB
MongoDB, Inc provides general purpose database platform worldwide. The company offers MongoDB Enterprise Advanced, a commercial database server for enterprise customers to run in the cloud, on-premise, or in a hybrid environment; MongoDB Atlas, a hosted multi-cloud database-as-a-service solution; and Community Server, a free-to-download version of its database, which includes the functionality that developers need to get started with MongoDB.
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According to The Fly, equity research analysts at Redburn Partners changed their recommendation of MongoDB (NASDAQ: MDB) in a research report delivered to clients and investors on Tuesday. Previously, they had recommended “sell,” but they have now changed it to “neutral.”
There have been several other reports that have covered MDB as a topic of discussion. Canaccord Genuity Group upgraded MongoDB from a “buy” rating to a “strong-buy” rating and raised their price target on the stock from $300 to $360 in a research report published on Thursday, September 1. The report was made available to the public. In addition, they increased the price target they had set for the stock from $300 to $360. In a research report that was made public on Tuesday, Barclays announced that the brokerage firm’s target price for MongoDB shares has decreased from $360.00 to $300.00. In a research note, Truist Financial announced that it would begin covering MongoDB shares. The note was published on Friday. They suggested investing in the company by purchasing shares of stock and establishing a price target of $300 for the stock. In a research note made available to the public on Thursday, September 1, Piper Sandler decreased their target price on MongoDB shares from $375.00 to $350.00 while maintaining their “overweight” rating. The “buy” rating and $340.00 target price that Stifel Nicolaus had previously assigned to MongoDB were both lowered to $320.00 in a research report published on September 1. There are currently nineteen research analysts who recommend buying the stock, while there is only one research analyst who recommends keeping the stock in one’s portfolio. According to Bloomberg.com, the company is currently rated as having an average “Moderate Buy,” and the consensus price objective for the company is $379.11.
Trading in MDB started on Tuesday with an opening price of 182.35 dollars. The company’s market capitalization is $12.53 billion, the price-to-earnings ratio of the stock is 34.02, and the company has a beta of 1.16. The company’s share price has had a moving average of $292.66 over the past two hundred days, while its share price has had a moving average of $260.76 over the past fifty days. The lowest price for MongoDB that was ever made available was $166.61, and the highest price that was ever made available was $590.00. There is a debt-to-equity ratio of 1.70, a current ratio equal to the current ratio, and a quick ratio equal to the current ratio.
On August 31, a report on MongoDB’s most recent earnings was made public. NASDAQ: MDB. MongoDB is a publicly traded company whose stock is denoted by the NASDAQ: MDB. The company reported earnings per share for the quarter of $1.69, which was significantly lower than the consensus estimate of $1.52, which meant that the company fell short of the mark by $0.17. The revenue for the quarter was $303.66 million, which was substantially higher than the consensus expectation of $282.31 million for the quarter’s revenue. MongoDB’s return on equity was 52.05%, while the company’s profit margin was 33.43%, putting the company in the red for both metrics. The company’s revenue saw a 52.8% increase compared to the previous fiscal year. The previous year, during the same period, the company generated revenue of $1.15 per share. Those who specialize in the financial markets hold the majority opinion that MongoDB will report a loss of 5.37 cents per share for the current fiscal year.
Thomas Bull, an employee of the company with insider trading privileges, sold 502 shares of the company’s stock on Monday, October 3. On the open market, the shares were sold for a total price of $99.817.68, which works out to $198.84 per share when divided by the number of shares sold. The successful transaction completion has resulted in the insider now directly owning 16,602 shares of the company’s stock, which have a combined value of approximately $3,301,141.68. These shares have a total value of $3,301,141.68. If you click on this link, you will be taken to a legal file filed with the SEC, which will provide you with additional details about the transaction. On Monday, October 3, an individual by the name of Thomas Bull sold 502 shares of the company’s stock. This is just one of the latest developments in connection with this topic. A total of $99.817.68 was spent on the purchase of the stock, which works out to a price of $198.84 per share on an average basis. After the completion of the transaction, the company insider now owns 16,602 shares of the company’s stock. Based on the current stock price, these shares have a market value of $3,301,141.68.
Access to the legal file that details the transaction’s disclosure can be gained through the Securities and Exchange Commission’s (SEC) website. This file can be found on the website. In addition, Director Archana Agrawal disposed of 663 shares of MongoDB stock on Monday, August 29. The shares were acquired for a total cost of $229,099.65, which is equivalent to a price of $345.55 per share on an average basis. The director is now the direct owner of 2,080 shares, which have a combined value of $718,744 due to the transaction. The disclosure related to the sale might be found in this website section. Insiders of the company sold 103,275 shares during the most recent fiscal period, bringing in a total of $23,925,529 from the transaction. Company insiders own 5.70 percent of the total number of shares currently outstanding in the company.
During the most recent period, numerous hedge funds and other institutional investors traded MDB stock, buying and selling it multiple times. A further investment of approximately $25,000 was made in MongoDB by the Bank of New Hampshire during the first quarter, bringing the total value of its holdings to approximately $75,000. During the second quarter, John W. Brooker & Co. CPAs contributed approximately $26,000 toward establishing a new position at MongoDB. During the second quarter, Prentice Wealth Management LLC made a new investment in the MongoDB database by spending close to $26,000. During the second quarter, approximately $28,000 was put toward acquiring additional MongoDB ownership shares by Venture Visionary Partners LLC.
Last but not least, during the second quarter of the fiscal year, FNY Investment Advisers LLC made a new investment in MongoDB by spending approximately $41,000. This certainly should not be considered the least important item on this list. The company’s equity comprises shares, most of which institutional investors hold 89.85% of the total shares.
MongoDB, Inc. is a provider of database platforms that can be used for various purposes on a global scale. The MongoDB Community Server is a version of its database that can be downloaded for free and comes equipped with all of the features that programmers require to begin working with MongoDB. MongoDB Enterprise Advanced, a commercial database server designed specifically for business customers, is capable of operating in the cloud, on-premises, or in a hybrid environment. The business can provide customers with all three of these products. MongoDB Atlas is a database-as-a-service solution that is hosted across multiple clouds. The Community Server is a database version that users can download at no cost.
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Mongodb Inc (MDB) stock is lower by -63.57% over the last 12 months, and the average rating from Wall Street analysts is a Strong Buy. InvestorsObserver’s proprietary ranking system, gives MDB stock a score of 33 out of a possible 100.
That rank is mainly influenced by a long-term technical score of 7. MDB’s rank also includes a short-term technical score of 31.
MDB has an Overall Score of 33. Find out what this means to you and get the rest of the rankings on MDB!
What’s Happening with MDB Stock Today
Mongodb Inc (MDB) stock has fallen -2.59% while the S&P 500 is lower by -0.36% as of 10:49 AM on Wednesday, Oct 19. MDB is lower by -$4.92 from the previous closing price of $189.97 on volume of 499,797 shares. Over the past year the S&P 500 has fallen -17.99% while MDB is lower by -63.57%. MDB lost -$5.37 per share in the over the last 12 months.
Click Here to get the full Stock Report for Mongodb Inc stock.
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NoSQL Market : Industry Analysis, Size, Share, Growth, Trends, and Forecasts 2022-2028
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The NoSQL market is globally one of the leading markets involving innovative techniques development and extremely categorized sector. After a thorough investigation conducted over the industries under NoSQL market, the market report delivers in-depth information, based on the data related to export and import along with the ongoing industry trends in the global market. The report deeply observes the competitive structure of the NoSQL market worldwide. The NoSQL market report comprises the detailed summary of the various firms, manufacturers, organizations, and other competitive players that hold major count over the global market in terms of demand, sales, and revenue by providing reliable products and services to the customers worldwide.
Key Players Profiled In the Report Includes
The major players covered in the NoSQL report are IBM Corporation, Aerospike Inc, MarkLogic Corporation, Hibernate, MariaDB, Oracle Database, Neo technology, MongoDB, Basho Technologies, Couchbase, PostgreSQL
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Key-Value Store, Document Databases, Column Based Stores, Graph Database.
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Apart from this, the report includes the NoSQL market study based on geographical and regional location. Geographical Segmentation, On the basis of region, North America (United States, Canada), South America (Argentina, Chile, Brazil, etc.), Asia-Pacific (India, China, Japan, Singapore, Korea, etc.), Europe (UK, France, Germany, Italy, etc.), the Middle East & Africa (GCC Countries, South Africa, etc.) and the Rest of the world.
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The NoSQL global report indicates the status of the industry and regional and global basis with the help of graphs, diagrams, and figures to make it easy and better understandable.
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Industry Historical Demand Trends and Future Development Study – NoSQL Market Investors will make their business decisions based on historical and projected performance of the market NoSQL in terms of growth trends, revenue contribution, and NoSQL market growth rate. The report offers NoSQL industry analysis from 2016 to 2019, according to categories such as product type, applications/end-users and regions.
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MYSQL and MongoDB difference, find out the main and top 10 differences between MongoDB and MYSQL.
- MYSQL follows the Structured query language
- MongoDB does not follow the structured query language.
- Both are the databases used for modern web application
- MongoDB is an open-source database developed by MongoDB, Inc. MongoDB stores data in its database in the form of JSON documents that can differ in structure or schema. It is a popular NoSQL database nowadays.
- MYSQL is a popular open-source relational database management system (RDBMS) that is developed, distributed, and supported by Oracle Corporation. IT stores data in the form of tables consisting of rows and columns.
- MongoDB is going on with the ongoing development process.
- MYSQL is going with the constant development process
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In the latest session, MongoDB Inc. (NASDAQ: MDB) closed at 189.97 up 4.18% from its previous closing price of $182.35. In other words, the price has increased by $+10.27 from its previous closing price. On the day, 1808749 shares were traded. MDB stock price reached its highest trading level at $186.89 during the session, while it also had its lowest trading level at $177.79.
Ratios:
For a deeper understanding of MongoDB Inc.’s stock, let’s take a closer look at its various ratios. For the most recent quarter (mrq), Quick Ratio is recorded 4.00 and its Current Ratio is at 4.00. In the meantime, Its Debt-to-Equity ratio is 1.78 whereas as Long-Term Debt/Eq ratio is at 1.77.
Upgrades & Downgrades
On September 30, 2022, Truist started tracking the stock assigning a Buy rating and target price of $300.Truist initiated its Buy rating on September 30, 2022, with a $300 target price.
Insider Transactions:
Additionally, insider trades can be beneficial to investors who want to learn what the management thinks about stock prices in the future. A recent insider transaction in this stock occurred on Oct 03 when Porter Mark sold 909 shares for $198.84 per share. The transaction valued at 180,746 led to the insider holds 28,212 shares of the business.
Pech Cedric sold 288 shares of MDB for $57,266 on Oct 03. The Chief Revenue Officer now owns 34,157 shares after completing the transaction at $198.84 per share. On Oct 03, another insider, Ittycheria Dev, who serves as the President & CEO of the company, sold 40,107 shares for $199.87 each. As a result, the insider received 8,016,176 and left with 194,646 shares of the company.
Valuation Measures:
For the stock, the TTM Price-to-Sale (P/S) ratio is 12.67 while its Price-to-Book (P/B) ratio in mrq is 19.42.
Stock Price History:
Over the past 52 weeks, MDB has reached a high of $590.00, while it has fallen to a 52-week low of $166.61. The 50-Day Moving Average of the stock is 259.66, while the 200-Day Moving Average is calculated to be 322.79.
Shares Statistics:
For the past three months, MDB has traded an average of 1.71M shares per day and 1.63M over the past ten days. A total of 68.33M shares are outstanding, with a floating share count of 66.19M. Insiders hold about 2.60% of the company’s shares, while institutions hold 91.50% stake in the company. Shares short for MDB as of Jul 14, 2022 were 3.87M with a Short Ratio of 2.47, compared to 4.34M on Jun 14, 2022. Therefore, it implies a Short% of Shares Outstanding of 5.69% and a Short% of Float of 6.63%.
Earnings Estimates
There are 18 different market analysts currently analyzing its stock. On average, analysts expect EPS of -$0.28 for the current quarter, with a high estimate of -$0.21 and a low estimate of -$0.32, while EPS last year was -$0.24. The consensus estimate for the next quarter is -$0.14, with high estimates of $0.02 and low estimates of -$0.32.
Analysts are recommending an EPS of between $0.08 and -$0.43 for the fiscal current year, implying an average EPS of -$0.21. EPS for the following year is $0.23, with 21 analysts recommending between $0.87 and -$0.07.
Revenue Estimates
A total of 21 analysts have provided revenue estimates for MDB’s current fiscal year. The highest revenue estimate was $1.25B, while the lowest revenue estimate was $1.17B, resulting in an average revenue estimate of $1.19B. In the same quarter a year ago, actual revenue was $873.78M, up 36.40% from the average estimate. Based on 21 analysts’ estimates, the company’s revenue will be $1.55B in the next fiscal year. The high estimate is $1.68B and the low estimate is $1.48B. The average revenue growth estimate for next year is up 30.20% from the average revenue estimate for this year.
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- The stock price of MongoDB (MDB) increased by 4.18% in the most recent trading session. This is why.
The stock price of MongoDB (MDB) increased by 4.18% in the most recent trading session.
Why: Research report
Rating: Upgraded from “Sell” to “Neutral”
Analyst firm: Redburn
Redburn analysts noted that the stock trading 20% below the 2020 valuation lows is one of the reasons why there isn’t a further downside to justify a “Sell” rating.
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A new Oracle platform for partners to build cloud services, a beta for the latest version of Oracle’s converged database and a beta for MySQL HeatWave Lakehouse were among the biggest announcements made this week at the vendor’s annual CloudWorld conference.
Held in person in Las Vegas and online, CloudWorld 2022 gave the database services and cloud vendor a chance to promote its offerings in an ever-competitive cloud market.
Oracle co-founder and CTO Larry Ellison has been pointing to the popularity of multi-cloud offerings lately, telling listeners on the company’s latest quarterly earnings call in September that “multi-cloud interoperability is one of the reasons our infrastructure business is booming—growing over 50 per cent in US dollars and almost 60 per cent in constant dollars.”
“We expect Oracle’s total cloud business to exceed a US$20 billion annual run rate next year,” Ellison said.
[RELATED: Oracle’s Ellison: OCI Is Nabbing The ‘Most Famous’ AWS Brands]
Ellison and Oracle haven’t grown any friendlier in a multi-cloud world, with the tech pioneer’s continued attacks on Amazon Web Services and database rival Snowflake during the earnings call.
“I personally have been talking to some of Amazon’s most famous brands that are running AWS,” he said. “And their AWS bill is getting very large.”
“And they can save a huge amount of money by moving to Oracle Cloud Infrastructure.”
And we expect next quarter we’ll be announcing some brands and companies moving off of Amazon to Oracle Cloud Infrastructure that will shock you,” Ellison said.
Ellison has also said that Oracle’s MySQL HeatWave offering delivers better performance than Snowflake and Amazon Redshift and higher throughput than Amazon Aurora.
CRN has reached out to AWS and Snowflake for comment on Ellison’s statements.
Oracle Alloy
Oracle introduced Alloy, a new platform for service providers, systems integrators and independent software vendors, to offer cloud services.
Users can leverage Alloy in their own data centres and control its operations and regulatory requirements, according to Oracle. Users can serve public sector customers, for example, that have to keep workloads domestic and operate clouds independently.
Alloy allows for a customisable Oracle Cloud Infrastructure console with the partner’s own branding, with tailored customer alerts and documentation.
Partners set the pricing, rate cards, account types, discount schedules, service levels and support structures, according to Oracle.
Oracle Database 23c in beta
Oracle announced a beta for the latest version of its converged database, Oracle Database 23c, during CloudWorld 2022.
23c has new capabilities meant for applications written with JSON, Graph or microservices, according to Oracle.
It seeks to make SQL easier to use and adds JavaScript as a stored procedure language.
The latest version includes JSON Relational Duality for unifying data representation in applications and data storage in relational databases.
With this duality capability, data can be used as app-friendly JSON documents and database-friendly relational tables.
Oracle developler improvements
Along with Database 23c, other improvements aimed at developers include MongoDB compatibility for Oracle Database for on-premises environments.
GoldenGate 23c has improved performance, diagnostics and security, according to Oracle. It has new replication support for blockchain and immutable tables and application patching without downtime.
GoldenGate also supports more than 40 new data connections from Oracle, AWS, Microsoft Azure and other cloud environments.
Autonomous Data Warehouse gained a new Microsoft Excel add-in.
A Transforms data integration tool will be available in the future, according to Oracle.
In preview is Oracle Apex 22.2 for low-code app development.
A new workflow approval component is available along with out-of-the-box integrations with third-party apps and data.
Tuxedo 22c is meant to improve Tuxedo apps in Kubernetes and cloud environments.
It has container images, sample Helm charts for Kubernetes distributions and stronger security, according to Oracle.
New Oracle Fusion offerings
The company unveiled a host of updates for its Oracle Fusion suite of enterprise applications.
Oracle added 15 baseline artificial intelligence models to Oracle Unity, a customer data platform (CDP) inside Oracle Fusion Cloud Customer Experience (CX).
The new AI models can predict behaviors and offer recommendations for users in consumer packaged goods, communications, financial services, health care, utilities and other industries.
Oracle introduced Asset-Based Service for High Tech and Manufacturing for Oracle Fusion Cloud Applications Suite.
The new offering aims to help improve customer satisfaction, reduce costs and grow revenue through getting the most out of the service life cycle management of assets, minimising unplanned downtime, according to Oracle.
Oracle Recruiting Booster is a new hiring offering included in Oracle Fusion Cloud Human Capital Management.
This new version of Oracle Recruiting adds hiring event promotion and support, two-way messaging for recruiters and candidates and a better way to manage interview scheduling, according to Oracle.
Oracle Health Care focused offerings
About four months after Oracle completed its acquisition of health-care technology provider Cerner, the database services giant promoted new offerings at CloudWorld.
The vendor unveiled a new health care-focused HR Service for Oracle Fusion Cloud Human Capital Management.
A Dynamic Skills feature allows for detection, tracking and analysis of skills and industry accreditation of employees.
Grade Step Progression allows for compensation adjustment as workers get new skills and credentials.
Using this health care-focused version of Oracle Cloud HCM, workers can add static, rotating, split and dynamic shifts to their schedules, according to Oracle.
A health care-focused version of Oracle Fusion Cloud Supply Chain & Manufacturing (SCM) includes product master data management for maintaining complete patient documentation and a unified data source that integrates with electronic health records, according to the vendor.
Intelligent reordering attempts to improve supply availability, and the Oracle Procurement feature comes with rebate management, integrated pricing management and standardized billing.
Along with these industry-focused offerings, Oracle Fusion Cloud Enterprise Performance Management added health care-specific features for modeling scenarios and determining future demand.
Health-care providers can use the offering for staff planning, and to plan capital expenses, model financials, find trends and anomalies in their data.
Expanded Oracle Applications Platform Availability
Oracle has made its design system and applications-powering platform available to customers and partners to promote a consistent consumer-grade user experience.
The Oracle Applications Platform gives organisations search, self-learning recommendation, Oracle Digital Assistant conversational experiences, telemetry and low-code development tools to help with application delivery and integration with Oracle cloud apps.
Users can embed data visualisations in their Redwood applications, use Visual Builder Studio to build new applications, and predict data input and next actions based on user behavior, according to Oracle.
MySQL HeatWave Lakehouse beta
Oracle unveiled a beta for MySQL HeatWave Lakehouse, with general availability expected in the first half of 2023.
Lakehouse promises to combine transaction processing, analytics, machine learning and machine learning-based automation in a single MySQL database, according to Oracle.
The new offering has the ability to process and query hundreds of terabytes of data in object store, according to Oracle.
It supports comma-separated values (CSV), Parquet, and backups for Amazon Aurora and Amazon Redshift.
Oracle said that MySQL HeatWave Lakehouse can load 400 terabytes of data from object storage eight times faster than Redshift and 2.7 times faster than Snowflake.
The vendor also said that Lakehouse has 17 times faster query performance compared with Snowflake and is six times faster than Redshift on a 400-terabyte workload.
Lakehouse is also optimised to run on AMD EPYC-powered Oracle cloud instances.
Oracle also unveiled at CloudWorld native availability of HeatWave on Amazon Web Services, with Microsoft Azure availability coming “soon.”
Oracle Data Protection updates
Oracle made multiple announcements for additional data protection and disaster recovery protections for users during CloudWorld 2022.
The Oracle Database Zero Data Loss Autonomous Recovery Service aims to provide more efficient ways to combat ransomware, outages and human errors, according to the company.
Oracle Full Stack Disaster Recovery Service *is meant for configuring, monitoring and managing technologies used to build middleware, databases, networks storage, compute and other applications from the Oracle Cloud Infrastructure console.
This article originally appeared at crn.com
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Key Takeaways
- Separation of concerns is a Node.js architecture that ensures code readability, easy refactoring, and good code collaboration.
- Using the separation of concerns principle, you can ensure that the final system is stable and maintainable.
- The principle of separation of concerns ensures that components are not duplicated, making the system easier to maintain and refactor.
- The separation of concerns principle holds that business logic should be kept separate from controllers. This simplifies the development of thin controllers and the writing of tests.
- Separation of Concerns principle aids in code reusability. This reduces maintenance costs and time by making it simple to determine where a fault is coming from and how to isolate it from the entire system.
Best Practices for Creating a Good Node.js Project Architecture
Most of the time, we work in large groups with different people handling different parts of the system, which can get messy if everything isn’t properly arranged and just jumbled all together. More teams are working remotely as a result of the pandemic, and having clear and well-defined code structures has never been more crucial.
Essentially, project structuring is an important topic because how you bootstrap your application can determine the overall development experience throughout the project’s life cycle.
The amazing and somewhat frustrating aspect of Node.js is that you can structure your code however you want. There is no “correct way”. You have the option of writing all of your code in a single app.js file or creating multiple files and placing them in different folders.
Most developers, however, would recommend structuring your projects by grouping related data together rather than having it all together. It would be preferable to know that you can make changes to your models by browsing through the model folders rather than having to navigate through a single file containing models, controllers, loaders, and services.
Why is good project architecture so important?
As previously stated, good project architecture is critical, and messy architecture can be problematic. Here are a few benefits of good architecture:
- makes code more readable and tidy.
- simpler to avoid repetition.
- makes scaling and changes easier.
- simplifies test authoring
Separation of concerns
Separation of concerns is a design principle that divides a software program into segments. Each subsection attempts to address a distinct issue, a group of details that have an impact on the program’s code.
This concept essentially refers to an architecture pattern in which program logic is separated from program content and presentation. This makes the project easier to maintain, and less prone to repetitions. It also streamlines changes and team collaboration.
A Node.js project can be organized in a variety of ways. Every organizational method has advantages and disadvantages. At the end of the day, every developer’s goal is to create scalable and clean codes. Projects which follow this architecture pattern are often structured this way:
└───app.js # Our Application's entry point
└───api # Contains controllers, routes, middlewares
└───config # Application configs for development and production
└───loaders # Contains the startup processes
└───models # Database models
└───services # Contains our business logic
└───jobs # Jobs definitions(if you have cron jobs in your program, we don't)
└───subscribers # Event handlers for async task
└───test # Our Program test files here
In order to explain folder structuring and the concept of separation of concerns, we will create a simple authentication REST API. We will be constructing a scalable structure that facilitates team collaboration. We will be utilizing Node.js, Express.JS, and MongoDB. To get started, make sure you have Node.js and MongoDB installed.
Our example application is a simple REST API for authentication. When a user registers, their information is saved in our MongoDB database. When a user attempts to login, we verify their information and return a token if they are verified. While building this, we will implement a scalable project structure and see what is required to achieve it.
Setting up our project folders
Our application will be structured in the following manner:
- All files and logic will be kept in a single folder called src.
- The app entry and startup are taken care of by our server.js and app.js scripts.
- The api folder comprises subfolders for controllers, middlewares, routes, and repositories, which are mostly used to handle tasks like data transmission, request processing, and validation.
- Our configuration folder, config, contains information about how our development and production environments are managed.
- The loaders folder contains the actions that the program performs when it first launches. This comprises our database loader, which tells our database to start, and our express loaders, which execute our express app.
- The models folder contains files that describe the type of data transferring to or receiving from the database.
- The services folder contains reusable business logic that handles tasks such as data processing, implementing unique business logic, calling the database, etc.
- The utils folder includes documents such as helpers, validators, error handlers, constants, etc. Other files in the application may call these files in order to help with an operation.
└───src
└───app.js
└───server.js
└───api
└───controllers
└───middlewares
└───routes
└───config
└───loaders
└───models
└───services
└───utils
Utils Folder – Helper files
These files support other portions of the application. They get utilized by several files or modules to possibly validate or change a request or piece of data because they have a reusable structure. For instance, developing a helper function that verifies that emails are written in an appropriate format. This feature can be used to verify that the email being input follows the proper format in places like sign up or login.
Our utils folder contains four files:
- validator.js
- helpers.js
- error_handler.js
- error_response.js
validator.js
A method in this file called signupValidator verifies that the required arguments are being supplied and that they are being passed correctly. For instance, we verify that the name and email are supplied and the password is in the format that we desire (at least 8 characters and a mix of Alphanumeric and special characters).
import { celebrate, Joi, Segments } from 'celebrate';
export default class Validator {
static signupValidator = celebrate({
[Segments.BODY]: Joi.object().keys({
name: Joi.string().required(),
email: Joi.string().email().required().trim().lowercase(),
password: Joi.string().regex(/^(?=.*[a-z])(?=.*[A-Z])(?=.*d)[a-zA-ZdwW]{8,}$/).required().label('Password').messages({
"string.min": "{#label} Must have at least 8 characters",
"string.pattern.base": "{#label} must include at least eight characters, one uppercase and lowercase letter and one number"
})
}),
});
}
helpers.js
This file contains functions that manage the format of our JSON responses, the hashing of our passwords, the generation of random strings, and more. The helpers file simply contains many functions that are utilized by many services; instead of building these functions within your services, import them as needed to keep code clean and accelerate development.
import bcrypt from 'bcryptjs';
import crypto from 'crypto';
const ENCRYPTION_KEY = "(some_r**n_5_str_$$8276_-yuiuj6]"; // Must be 256 bits (32 characters)
const IV_LENGTH = 16; // For AES, this is always 16
export class JsonResponse {
constructor(statusCode = 200) {
this.statusCode = statusCode;
}
error = (res, message, data) => {
return res.status(this.statusCode).json({
status: false,
message,
data
})
}
success = (res, message, data) => {
return res.status(this.statusCode).json({
status: true,
message,
data
})
}
}
export const randomString = (length) => {
let numbers = "0123456789";
let chars = "acdefhiklmnoqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXY";
let randomstring = '';
let randomstring2 = '';
for (let x = 0; x < Math.floor(length / 2); x++) {
let rnum = Math.floor(Math.random() * chars.length);
randomstring += chars.substring(rnum, rnum + 1);
}
for (let y = 0; y bcrypt.compare(string, hash);
export const hashString = async function (string) {
const salt = await bcrypt.genSalt(10);
return await bcrypt.hash(string, salt);
}
export const encryptData = data => {
let iv = crypto.randomBytes(IV_LENGTH);
let cipher = crypto.createCipheriv('aes-256-cbc', Buffer.from(ENCRYPTION_KEY), iv);
let encrypted = cipher.update(data);
encrypted = Buffer.concat([encrypted, cipher.final()]);
return iv.toString('hex') + ':' + encrypted.toString('hex');
}
export const decryptData = data => {
let textParts = data.split(':');
let iv = Buffer.from(textParts.shift(), 'hex');
let encryptedText = Buffer.from(textParts.join(':'), 'hex');
let decipher = crypto.createDecipheriv('aes-256-cbc', Buffer.from(ENCRYPTION_KEY), iv);
let decrypted = decipher.update(encryptedText);
decrypted = Buffer.concat([decrypted, decipher.final()]);
return decrypted.toString();
}
error_handler.js
This defines the error response structure. For instance, you can call this in the catch section whenever you try to build a try-catch event and provide the necessary parameters, such as the status, data, and message. Instead of having to declare an error structure everywhere, you can reuse this approach. It is crucial to display errors accurately since it helps the user and developer consuming the API to comprehend the issue at hand.
export default class ErrorResponse extends Error {
constructor(message, status) {
super(message);
this.status = status;
}
}
error_response.js
We can infer from the file’s name that this contains functions that handle different error conditions. For instance, it has functions for dealing with 404 problems, duplicate fields in our database, and server issues.
import ErrorResponse from './error_response';
import { isCelebrateError } from 'celebrate';
const errorHandler = (err, req, res, next) => {
console.log(err)
let error = { ...err };
error.message = err.message;
//celebrate error
if (isCelebrateError(err)) {
if (!err) {
error = new ErrorResponse("Unable to process request, try again", 400);
} else {
const errorBody = err.details.get('body');
if (errorBody) {
const { details: [errorDetails] } = errorBody;
console.log(errorDetails)
const message = errorDetails.message;
error = new ErrorResponse(message, 400);
} else {
error = new ErrorResponse("Invalid payload sent, review and try again", 400);
}
}
}
// mongoose duplicate error
if (err.code == 11000) {
const message = "Field already exists or duplicate value encountered";
error = new ErrorResponse(message, 400);
}
// mongoose validation error
if (err.name == "CastError") {
const message = "Invalid parameter passed";
error = new ErrorResponse(message, 400);
}
// mongoose validation error
if (err.name == "ValidationError") {
const message = Object.values(err.errors).map(val => val.message);
error = new ErrorResponse(message, 400);
}
res.status(error.status || 500).json({
status: false,
message: error.message || "Server error! request not completed",
data: {}
});
}
export default errorHandler;
Config Folder – Environment Management
Most of the time, we have varying environmental variables. For instance, if we are working locally in our development environment, our MongoDB URI will most likely begin with localhost, whereas a link leading to an atlas database will be present in our production environment. Therefore, it is wise to handle these differences with care. Our config folder will contain three files: dev.js (for the development environment), prod.js (for the production environment), and an index.js file, where they get imported. Additionally, the index.js file has a switch case that determines which file should get utilized depending on the environment.
Don’t forget to make an .env file with all the variables you require.
dev.js
import '../.env'
import dotenv from 'dotenv';
dotenv.config()
export const config = {
secrets: {
jwt: process.env.JWT_SECRET_DEV,
jwtExp: '100d'
},
dbUrl: process.env.MONGO_URI_DEV,
}
prod.js
import '../.env'
import dotenv from 'dotenv';
dotenv.config()
export const config = {
secrets: {
jwt: process.env.JWT_SECRET,
jwtExp: '7d'
},
dbUrl: process.env.MONGO_URI,
index.js
import { merge } from 'lodash';
const env = process.env.NODE_ENV || 'development';
const port = process.env.PORT || 4002;
const baseConfig = {
env,
isDev: env === 'development',
port,
}
let envConfig = {}
switch (env) {
case 'dev':
case 'development':
envConfig = require('./dev').config
break
case 'prod':
case 'production':
envConfig = require('./prod').config
break
default:
envConfig = require('./dev').config
}
export default merge(baseConfig, envConfig)
Loaders Folder
The loaders folder contains files required for the initialization of specific functions. For example, we have an express and a database loader that start the express app and database, respectively.
The idea is to divide the application’s startup process into testable components. The various loaders are imported into an index.js file in the loaders folder, which makes them available to other files.
db-loader.js
import mongoose from 'mongoose';
import dotenv from 'dotenv';
import options from '../config';
require('dotenv').config({path: __dirname + '/.env' })
export default (url = options.dbUrl, opts = {}) => {
let dbOptions = { ...opts, useNewUrlParser: true, useUnifiedTopology: true };
mongoose.connect(url, dbOptions);
const conn = mongoose.connection;
return conn;
}
express-loader.js
import * as fs from 'fs';
import morgan from 'morgan';
import mongoSanitize from 'express-mongo-sanitize';
import rateLimit from 'express-rate-limit';
import helmet from 'helmet';
import xss from 'xss-clean';
import cors from 'cors';
import ErrorResponse from '../utils/error_response';
import errorHandler from '../utils/error_handler';
// import routes
import apiRoutes from '../api/routes';
const apiLimiter = rateLimit({
windowMs: 20 * 60 * 1000, // 20 minutes
max: 100, // Limit each IP to 100 requests per `window` (here, per 20 minutes)
standardHeaders: true, // Return rate limit info in the `RateLimit-*` headers
legacyHeaders: false, // Disable the `X-RateLimit-*` headers
handler: (_request, res, _next) => res.status(429).json({
status: false,
message: "Too many requests, please try again later."
}),
})
export default ({ app, express }) => {
app.disable('x-powered-by');
app.use(express.json())
app.use(express.urlencoded({ extended: true }))
// Dev logging middleware
if (process.env.NODE_ENV === 'development') {
app.use(morgan('dev'));
}
app.enable('trust proxy');
app.use(cors())
app.use(mongoSanitize());
// add secure headers
app.use(helmet());
app.use(xss());
app.get('/ip', (request, response) => response.send(request.ip))
app.use('/api/v1', apiLimiter, apiRoutes);
app.use(errorHandler);
app.use((_req, _res, next) => next(new ErrorResponse('Route not found', 404)));
app.use(errorHandler);
return app;
};
index.js
import dbConnect from './db-loader';
import expressLoader from './express-loader';
export default async ({ app, express }) => {
const connection = dbConnect();
console.log('MongoDB has been Initialized');
expressLoader({ app, express });
console.log('Express package has been Initialized');
}
Entry Files
Our app’s entry point is app.js. It is common practice to put significant amounts of code here, but the separation of concerns ensures that all logic gets separated. We will create two entry points, namely server.js and app.js. In our server.js file, we will import our loaders and configuration files, as well as begin listening to our PORT. Our app.js file simply imports our server.js file. So, technically, when our server attempts to run our application, it reaches the app.js file and attempts to start the various functions specified in our server.js file.
server.js
import express from 'express';
import dotenv from 'dotenv';
import appLoader from './loaders';
import appConfig from './config';
export const app = express();
require('dotenv').config({path: __dirname + '/.env' })
export const start = async () => {
try {
await appLoader({ app, express });
app.listen(appConfig.port, () => {
console.log(`REST API on http://localhost:${appConfig.port}/api/v1`);
console.log(process.env.MONGO_URI_DEV);
console.log(appConfig.dbUrl);
});
} catch (e) {
console.error(e)
}
}
app.js
import { start } from './server'
start()
process.on('unhandledRejection', (err, _) => {
console.log(`Server error: ${err}`)
})
So far, when we run our application, we get a message saying that our app is running on our preferred port, that the express server has started, and that our database has been successfully connected.
Models
Then there are the models which are simply interfaces between our application and the database. They structure the data that we want to pass around our application. As a result, we’ll make two files in our models folder: user models file and an index.js file into which we’ll import every other model.
user.model.js
import mongoose from 'mongoose';
import bcrypt from 'bcryptjs';
import { sign } from 'jsonwebtoken';
import config from '../config';
const UserSchema = new mongoose.Schema({
name: {
type: String,
trim: true,
required: [true, "Name is required"]
},
email: {
type: String,
trim: true,
unique: true,
match: [/^(([^()[].,;:s@"]+(.[^()[].,;:s@"]+)*)|(".+"))@(([[0-9]{1,3}.[0-9]{1,3}.[0-9]{1,3}.[0-9]{1,3}])|(([a-zA-Z-0-9]+.)+[a-zA-Z]{2,}))$/, "Please enter a valid email"],
required: [true, "Email is required"]
},
password: {
type: String,
select: false,
},
created_at: {
type: Date,
default: Date.now
}
})
Index.js
import User from './user.model';
export { User};
Services
Services handle things like data manipulation, database calls, and other business logic. Separating app services from controllers is a separation of concerns technique. The service layer contains business-related logic and nothing related to the HTTP layer. This technique allows for easier test writing, refactoring, and thinner controllers. Services implement our application’s logic and communicate with the database via the data access layer before returning a necessary response to the controller. We made a simple auth service file that contains our signin and signup logic.
auth.js
import { User } from '../models';
import ErrorResponse from '../utils/error_response';
import { randomToken } from '../utils/helpers';
export default class AuthService {
//User register
async signup(data) {
try {
const { email, password, name } = data;
// find user by email
let query = { $or: [{ email: { $regex: email, $options: 'i' } }] };
const hasEmail = await User.find(query);
console.log(hasEmail);
// throw error if user not found
if (hasEmail.length > 0) { throw new ErrorResponse('Email already exists', 400); }
const user = await User.create({ email, password, name });
console.log(user)
return user;
} catch (e) {
throw e;
}
}
async signin(data) {
try {
let { email, password } = data;
let query = {
$or: [
{ email: { $regex: email, $options: 'i' } }
]
};
// find user by email
const user = await User.findOne(query).select('+password');
// throw error if user not found
if (!user) { throw new ErrorResponse('Invalid credentials', 401); }
// check user password
const isMatch = await user.comparePassword(password);
if (!isMatch) { throw new ErrorResponse('Invalid credentials', 401); }
return {
user: user.toMap(),
token: user.getJwtToken(),
};
} catch (e) {
throw e;
}
}
}
APIs
Finally, we have our api folder, which contains three other important folders: controllers, routes, and middleware, which we will go over individually.
Middleware
Middlewares are in charge of handling various validation or other general checks in an application. We’ll make two files, async_handler.js and auth_handler.js, to handle res (response) and req (request) objects, as well as user authorization.
async_handler..js
export const asyncHandler = fn => (req, res, next) => Promise.resolve(fn(req, res, next)).catch(next);
auth_handler.js
import { verify } from 'jsonwebtoken';
import ErrorResponse from '../../utils/error_response';
import { asyncHandler } from './async_handler';
import config from '../../config';
export const userAuth = asyncHandler(
async (req, res, next) => {
let authHeader = req.headers.authorization;
let token = authHeader && authHeader.startsWith('Bearer') && authHeader.split(' ')[1];
if (!token) {
return next(new ErrorResponse('Unauthorized access', 401));
}
try {
const decoded = verify(token, config.secrets.jwt);
req.user = decoded.result;
next();
} catch (e) {
return next(new ErrorResponse('Unauthorized access', 401));
}
});
Controllers
Controllers receive requests, make a call to the required service, and then communicate with the database via the data access layer, then sending the results back to the service, which then sends the results back to the controller, and the controller delivers the result to the client. We will create a file called index.js in our controllers folder that will contain our signin and signup controllers. These controllers use the res and req objects in the async handler.js file to send requests to various services.
index.js
import { asyncHandler } from '../middlewares/async_handler';
import { JsonResponse } from '../../utils/helpers';
import AuthService from '../../services/auth';
export default class IndexController {
constructor() {
this.authService = new AuthService();
}
index = asyncHandler(
async (req, res, _) => {
res.json({ status: true, message: "Base API Endpoint." })
});
loginUser = asyncHandler(
async (req, res, _) => {
const { user, token } = await this.authService.signin(req.body);
return new JsonResponse().success(res, "User logged in successfully", { user, token });
});
registerUser = asyncHandler(
async (req, res, _) => {
await this.authService.signup(req.body);
return new JsonResponse(201).success(res, "User account created successfully", {});
});
}
Routes
Routes simply define how our application should respond to HTTP requests from clients. It is the portion of our program’s code related to HTTP verbs. Middleware may or may not protect these routes. Routes’ primary function is to handle requests as they arrive.
For example, a POST request makes the route and expects data to be posted or passed.
In our routes folder, we’ve created an index.js file that contains all of the routes required to access the platform’s various services. Routes receive a request, forward it to the controller, which then forwards it to the database and returns a report to the controller.
index.js
import { Router } from 'express';
import Validator from '../../utils/validator';
import IndexController from '../controllers';
const router = Router();
// import all controllers
let indexController = new IndexController();
// register all routes
router.get('/', indexController.index);
router.post('/login', indexController.loginUser);
router.post('/register', Validator.signupValidator, indexController.registerUser);
//export the base router
export default router;
Conclusion
Every developer should strive for clean, readable, and reusable code, which makes it easier to refactor, collaborate with others, test, and make fewer mistakes. There are various approaches to designing API architecture, and there are many right ways; At all costs, make sure that scalability and readability are your top considerations when choosing an architecture.
We do, however, recommend using the separation of technique architecture because, as you can see, it has numerous advantages. This technique has proven to be useful in building projects regardless of project complexity or team size. You don’t want anything to go wrong during production!
MMS • RSS
Posted on mongodb google news. Visit mongodb google news
MongoDB Inc. (NASDAQ:MDB) went up by 4.18% from its latest closing price compared to the recent 1-year high of $590.00. The company’s stock price has collected 5.51% of gains in the last five trading sessions. Barron’s reported on 09/01/22 that MongoDB Stock Falls Sharply as Fiscal-Year Forecast Disappoints
Is It Worth Investing in MongoDB Inc. (NASDAQ :MDB) Right Now?
Plus, the 36-month beta value for MDB is at 1.14.
MDB currently public float of 66.19M and currently shorts hold a 6.38% ratio of that float. Today, the average trading volume of MDB was 1.71M shares.
MDB’s Market Performance
MDB stocks went up by 5.51% for the week, with a monthly drop of -14.17% and a quarterly performance of -38.24%, while its annual performance rate touched -62.30%. The volatility ratio for the week stands at 7.35% while the volatility levels for the past 30 days are set at 6.40% for MongoDB Inc. The simple moving average for the period of the last 20 days is -1.74% for MDB stocks with a simple moving average of -41.46% for the last 200 days.
Analysts’ Opinion of MDB
Canaccord Genuity, on the other hand, stated in their research note that they expect to see MDB reach a price target of $300. The rating they have provided for MDB stocks is “Buy” according to the report published on October 10th, 2022.
Truist gave a rating of “Buy” to MDB, setting the target price at $300 in the report published on September 30th of the current year.
MDB Trading at -27.81% from the 50-Day Moving Average
After a stumble in the market that brought MDB to its low price for the period of the last 52 weeks, the company was unable to rebound, for now settling with -67.80% of loss for the given period.
Volatility was left at 6.40%, however, over the last 30 days, the volatility rate increased by 7.35%, as shares sank -12.82% for the moving average over the last 20 days. Over the last 50 days, in opposition, the stock is trading -47.77% lower at present.
During the last 5 trading sessions, MDB rose by +5.51%, which changed the moving average for the period of 200-days by -64.11% in comparison to the 20-day moving average, which settled at $191.93. In addition, MongoDB Inc. saw -64.11% in overturn over a single year, with a tendency to cut further losses.
Insider Trading
Reports are indicating that there were more than several insider trading activities at MDB starting from Porter Mark, who sale 909 shares at the price of $198.84 back on Oct 03. After this action, Porter Mark now owns 28,212 shares of MongoDB Inc., valued at $180,746 using the latest closing price.
Pech Cedric, the Chief Revenue Officer of MongoDB Inc., sale 288 shares at $198.84 during a trade that took place back on Oct 03, which means that Pech Cedric is holding 34,157 shares at $57,266 based on the most recent closing price.
Stock Fundamentals for MDB
Current profitability levels for the company are sitting at:
- -33.12 for the present operating margin
- +69.26 for the gross margin
The net margin for MongoDB Inc. stands at -35.12. Equity return is now at value -54.20, with -14.90 for asset returns.
The liquidity ratio also appears to be rather interesting for investors as it stands at 3.90.
Article originally posted on mongodb google news. Visit mongodb google news