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MongoDB Queryable Encryption allows customers to securely encrypt sensitive application data and store it in an encrypted format within the MongoDB database. It also enables direct equality and range queries on the encrypted data without the need for cryptographic expertise. Adding range query support expands data retrieval options, allowing for more powerful search capabilities.
You can configure Queryable Encryption using the following methods:
- Automatic encryption: Allows encrypted read and write operations to be performed seamlessly, without requiring explicit encryption and decryption commands for individual fields.
- Explicit encryption: Offers the ability to perform encrypted read and write operations through the encryption library of your MongoDB driver, where you must define the encryption logic throughout your application.
“We’ve heard from customers that they need state-of-the-art security to protect their sensitive data, but not all of them have the specialized expertise to implement it. With MongoDB Queryable Encryption, we’re delivering just that—Queryable Encryption makes it easier for organizations to protect their data without compromising performance or compliance. The addition of range query support to MongoDB Queryable Encryption provides even more flexibility and powerful search capabilities, while ensuring encrypted data remains safe through its entire lifecycle. Queryable Encryption enables developers to perform expressive queries on fully encrypted data, helping customers across industries effectively manage sensitive information while retaining business-critical querying capabilities,” Kenn White, Security Principal, MongoDB, told Help Net Security.
Organizations across all industries and sizes can leverage the benefits of Queryable Encryption, including:
- Data protection: Ensures data remains encrypted throughout its lifecycle, minimizing the risk of exposure or breaches of sensitive information.
- Regulatory compliance: Provides the tools needed to meet data protection requirements, such as GDPR, CCPA, and HIPAA, through encryption at every stage.
- Streamlined operations: Simplifies the encryption process, eliminating the need for custom solutions, specialized cryptography expertise, or third-party tools.
- Separation of duties: Enables stricter access controls by preventing MongoDB and even customers’ database administrators from accessing sensitive data.
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NEW YORK – MongoDB , Inc. (NASDAQ:MDB), a leader in prepackaged software services, announced today the redemption of all its outstanding 0.25% Convertible Senior Notes due in 2026. The total principal amount of the notes to be redeemed is $1,149,972,000. This action is in accordance with the terms set forth in the Indenture agreement dated January 14, 2020, with U.S. Bank Trust Company, National Association, as Trustee.
The company has scheduled the redemption for December 16, 2024, at which point holders of the notes will receive 100% of the principal amount plus accrued and unpaid interest from July 15, 2024, up to but not including the redemption date. Interest on the notes will cease to accrue following the redemption date.
Noteholders have the option to convert their notes into shares of MongoDB’s Common Stock at any time before the conversion deadline at 5:00 p.m. (New York City time) on December 13, 2024. The conversion rate has been set at 4.9260 shares of Common Stock per $1,000 principal amount of the notes. This rate includes an additional 0.1911 shares per $1,000 principal as a result of the redemption call. The conversion rate is subject to adjustment in certain circumstances as described in the Indenture.
MongoDB has elected to settle conversions with shares of its Common Stock, along with cash in lieu of any fractional shares, following the issuance of the redemption notice up to the conversion deadline.
This financial maneuver is part of MongoDB’s strategic financial management and is detailed in the company’s latest filing with the Securities and Exchange Commission. The information is based on a press release statement issued by MongoDB, Inc. on Wednesday. Investors and note holders are advised to review the terms of the redemption and conversion options as they make their financial decisions regarding the company’s notes.
In other recent news, MongoDB, a leading database platform, has been the subject of numerous analyst reviews following robust second-quarter earnings. The company reported a 13% year-over-year revenue increase, amounting to $478 million, primarily driven by the success of its Atlas (NYSE:ATCO) and Enterprise Advanced offerings. This impressive performance led to an addition of over 1,500 new customers, bringing MongoDB’s total customer base to over 50,700.
Analysts from DA Davidson, Piper Sandler, and KeyBanc Capital Markets have respectively raised their price targets for MongoDB to $340, $335, and $330, while maintaining their positive ratings. Oppenheimer has also increased its price target to $350, maintaining an Outperform rating. These adjustments reflect the company’s strong performance and the belief in its continued growth.
Looking forward, MongoDB’s management anticipates third-quarter revenue to range between $493 million and $497 million. The full fiscal year 2025 revenue is projected to be between $1.92 billion and $1.93 billion, based on the company’s recent performance and analyst expectations. These recent developments underscore the confidence in MongoDB’s potential and its capacity to maintain a positive growth trajectory.
MongoDB’s decision to redeem its convertible notes aligns with its strong financial position, as highlighted by recent InvestingPro data. The company’s market capitalization stands at $20.55 billion, reflecting its significant presence in the prepackaged software services sector. An InvestingPro Tip reveals that MongoDB holds more cash than debt on its balance sheet, which likely supports its ability to redeem these notes.
Despite the substantial redemption amount of over $1.1 billion, MongoDB’s financial health appears robust. The company’s revenue for the last twelve months as of Q2 2025 reached $1.82 billion, with a notable revenue growth of 22.37% over the same period. This growth trajectory is further supported by another InvestingPro Tip indicating that net income is expected to grow this year.
For investors considering the conversion option, it’s worth noting that MongoDB’s stock has shown resilience with a 10.22% price return over the past three months. However, the company’s high Price / Book multiple of 15.09 suggests that the stock is trading at a premium relative to its book value.
These insights are just a snapshot of the comprehensive analysis available on InvestingPro, which offers 11 additional tips for MongoDB, providing a more complete picture for investors evaluating the company’s financial strategies and market position.
This article was generated with the support of AI and reviewed by an editor. For more information see our T&C.
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MongoDB Announces Redemption of All of Its Outstanding Convertible Senior Notes due 2026
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NEW YORK, Oct. 16, 2024 /PRNewswire/ — MongoDB, Inc. (“MongoDB”) (Nasdaq: MDB), the leading, modern general purpose database platform, today announced that it issued a notice of redemption for all $1,149,972,000 aggregate principal amount outstanding of its 0.25% convertible senior notes due 2026 (the “Notes”). The redemption date will be December 16, 2024. The redemption price with respect to any redeemed note will equal 100% of the principal amount thereof, plus accrued and unpaid interest, from July 15, 2024, to, but excluding the redemption date. On the redemption date, the redemption price will become due and payable upon each note to be redeemed and interest thereon will cease to accrue on and after the redemption date.
The notes may be converted by holders at any time before 5:00 p.m. (New York City time) on December 13, 2024 (the “conversion deadline”). The conversion rate for notes converted after today and through the conversion deadline is equal to 4.9260 shares of common stock of MongoDB, par value $0.001 per share (the “Common Stock”), per $1,000 principal amount of the notes, which includes an increase to the conversion rate of 0.1911 shares of Common Stock per $1,000 principal amount of the notes as a result of the notes being called for redemption. MongoDB has elected to settle any conversions of the notes during the redemption period by delivering shares of its Common Stock, together with cash, if applicable, in lieu of delivering any fractional share of Common Stock (physical settlement).
About MongoDB
Headquartered in New York, MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. Built by developers, for developers, MongoDB’s developer data platform is a database with an integrated set of related services that allow development teams to address the growing requirements for today’s wide variety of modern applications, all in a unified and consistent user experience. MongoDB has tens of thousands of customers in over 100 countries. The MongoDB database platform has been downloaded hundreds of millions of times since 2007, and there have been millions of builders trained through MongoDB University courses.
Forward Looking Statements
This press release includes certain “forward-looking statements” within the meaning of Section 27A of the Securities Act of 1933, as amended, or the Securities Act, and Section 21E of the Securities Exchange Act of 1934, as amended, including statements concerning the planned redemption of the notes. These forward-looking statements include, but are not limited to, plans, objectives, expectations and intentions and other statements contained in this press release that are not historical facts and statements identified by words such as “anticipate,” “believe,” “continue,” “could,” “estimate,” “expect,” “intend,” “may,” “plan,” “project,” “will,” “would” or the negative or plural of these words or similar expressions or variations. These forward-looking statements reflect our current views about our plans, intentions, expectations, strategies and prospects, which are based on the information currently available to us and on assumptions we have made. Although we believe that our plans, intentions, expectations, strategies and prospects as reflected in or suggested by those forward-looking statements are reasonable, we can give no assurance that the plans, intentions, expectations or strategies will be attained or achieved. Furthermore, actual results may differ materially from those described in the forward-looking statements and are subject to a variety of assumptions, uncertainties, risks and factors that are beyond our control including, without limitation: risks associated with executing the redemption of the notes and events that could impact the terms of the redemption, as well as those described in MongoDB’s filings with the United States Securities and Exchange Commission (“SEC”), including under the caption “Risk Factors” in our Quarterly Report on Form 10-Q for the quarter ended July 31, 2024, filed with the SEC on August 30, 2024, and other filings and reports that we may file from time to time with the SEC. Except as required by law, we undertake no duty or obligation to update any forward-looking statements contained in this press release as a result of new information, future events, changes in expectations or otherwise.
Investor Relations
Brian Denyeau
ICR for MongoDB
646-277-1251
ir@mongodb.com
Media Relations
MongoDB
press@mongodb.com
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SOURCE MongoDB, Inc.
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MongoDB, Inc. (NASDAQ:MDB – Get Free Report) CFO Michael Lawrence Gordon sold 5,000 shares of the stock in a transaction that occurred on Monday, October 14th. The stock was sold at an average price of $290.31, for a total transaction of $1,451,550.00. Following the transaction, the chief financial officer now owns 80,307 shares in the company, valued at approximately $23,313,925.17. The trade was a 0.00 % decrease in their position. The sale was disclosed in a filing with the Securities & Exchange Commission, which is accessible through this hyperlink.
Michael Lawrence Gordon also recently made the following trade(s):
- On Wednesday, October 2nd, Michael Lawrence Gordon sold 1,884 shares of MongoDB stock. The shares were sold at an average price of $256.25, for a total value of $482,775.00.
MongoDB Price Performance
NASDAQ MDB traded down $6.27 on Wednesday, reaching $278.39. The company had a trading volume of 675,476 shares, compared to its average volume of 1,444,229. MongoDB, Inc. has a 12 month low of $212.74 and a 12 month high of $509.62. The company has a quick ratio of 5.03, a current ratio of 5.03 and a debt-to-equity ratio of 0.84. The firm’s 50 day moving average price is $267.72 and its 200 day moving average price is $286.14. The stock has a market capitalization of $20.42 billion, a PE ratio of -101.30 and a beta of 1.15.
MongoDB (NASDAQ:MDB – Get Free Report) last announced its quarterly earnings results on Thursday, August 29th. The company reported $0.70 earnings per share for the quarter, topping the consensus estimate of $0.49 by $0.21. MongoDB had a negative net margin of 12.08% and a negative return on equity of 15.06%. The company had revenue of $478.11 million for the quarter, compared to analysts’ expectations of $465.03 million. During the same quarter in the previous year, the business posted ($0.63) earnings per share. MongoDB’s quarterly revenue was up 12.8% on a year-over-year basis. As a group, equities analysts predict that MongoDB, Inc. will post -2.44 earnings per share for the current year.
Institutional Inflows and Outflows
Several institutional investors and hedge funds have recently added to or reduced their stakes in MDB. MFA Wealth Advisors LLC bought a new position in MongoDB during the second quarter valued at $25,000. Sunbelt Securities Inc. grew its holdings in MongoDB by 155.1% during the 1st quarter. Sunbelt Securities Inc. now owns 125 shares of the company’s stock valued at $45,000 after purchasing an additional 76 shares during the last quarter. J.Safra Asset Management Corp grew its holdings in MongoDB by 682.4% during the 2nd quarter. J.Safra Asset Management Corp now owns 133 shares of the company’s stock valued at $33,000 after purchasing an additional 116 shares during the last quarter. Quarry LP raised its position in MongoDB by 2,580.0% in the 2nd quarter. Quarry LP now owns 134 shares of the company’s stock worth $33,000 after purchasing an additional 129 shares during the period. Finally, Hantz Financial Services Inc. bought a new stake in MongoDB in the second quarter worth about $35,000. Hedge funds and other institutional investors own 89.29% of the company’s stock.
Wall Street Analysts Forecast Growth
MDB has been the subject of a number of recent analyst reports. Stifel Nicolaus upped their target price on MongoDB from $300.00 to $325.00 and gave the company a “buy” rating in a research report on Friday, August 30th. Citigroup raised their target price on shares of MongoDB from $350.00 to $400.00 and gave the company a “buy” rating in a report on Tuesday, September 3rd. Mizuho increased their price target on shares of MongoDB from $250.00 to $275.00 and gave the stock a “neutral” rating in a research report on Friday, August 30th. UBS Group boosted their price objective on shares of MongoDB from $250.00 to $275.00 and gave the company a “neutral” rating in a research report on Friday, August 30th. Finally, Bank of America lifted their price target on MongoDB from $300.00 to $350.00 and gave the company a “buy” rating in a research note on Friday, August 30th. One analyst has rated the stock with a sell rating, five have issued a hold rating and twenty have assigned a buy rating to the company. According to MarketBeat.com, MongoDB presently has a consensus rating of “Moderate Buy” and an average price target of $337.96.
Read Our Latest Report on MongoDB
MongoDB Company Profile
MongoDB, Inc, together with its subsidiaries, provides general purpose database platform worldwide. The company provides MongoDB Atlas, a hosted multi-cloud database-as-a-service solution; MongoDB Enterprise Advanced, a commercial database server for enterprise customers to run in the cloud, on-premises, or in a hybrid environment; 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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Before you consider MongoDB, you’ll want to hear this.
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| Reporter Name | Gordon Michael Lawrence |
| Relationship | COO and CFO |
| Type | Sell |
| Amount | $1,451,571 |
| SEC Filing | Form 4 |
Gordon Michael Lawrence, COO and CFO of MongoDB, sold 5,000 shares of Class A Common Stock on October 14, 2024, under a Rule 10b5-1 trading plan. The sales were executed at weighted average prices ranging from $287.39 to $295.26, resulting in a total sale amount of $1,451,571. Following these transactions, Lawrence directly owns 80,307 shares and indirectly owns 4,000 shares through family members.
SEC Filing: MongoDB, Inc. [ MDB ] – Form 4 – Oct. 16, 2024
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While major stock market benchmarks – including the S&P 500 Index ($SPX) and the Dow Jones Industrial Average ($DOWI) – are hovering near all-time highs, many individual stocks are still trading at a discount from their own record levels. That includes software stocks, most of which have significantly lagged the broader market this year.
However, for investors willing to “lean into more risk,” here are three underperforming cloud stocks that look like solid long-term investments in October 2024, according to investment bank Piper Sandler. Let’s see why.
#1. MongoDB Stock
Valued at $20.8 billion by market cap, MongoDB (MDB) provides enterprises with a general-purpose database platform. Its commercial data server can run in the cloud, on-premise, or in a hybrid environment. MongoDB also offers the MongoDB Atlas, a multi-cloud database-as-a-service solution.
Down 51% from all-time highs, MDB stock has returned 126% to investors in the last five years.
In fiscal Q2 of 2025 (ended in July), MongoDB reported revenue of $478.1 million, an increase of 13% year over year. The Atlas platform saw sales rise by 27% to $339.7 million, accounting for 71% of the top line.
With more than $1.3 billion in cash, MongoDB is well capitalized, as the company continues to report a positive free cash flow. In the last 12 months, its free cash flow totaled $149 million, up from $115 million in fiscal 2024. Further, MongoDB increased its customer count from 45,000 to 50,700 in the last four quarters.
Piper Sandler believes that MongoDB is positioned to experience accelerated growth going forward, after hitting a trough in the second quarter. It has an “Overweight” rating on MongoDB, with the target price of $335 indicating an upside potential of over 21% from current levels.
Out of the 31 analysts covering MDB stock, 22 recommend “strong buy,” three recommend “moderate buy,” five recommend “hold,” and one recommends “strong sell,” for a “strong buy” consensus. The average target price for MDB stock is $334.07, about 21% higher than current levels.
#2. Adobe Systems Stock
Valued at $224 billion by market cap, Adobe Systems (ADBE) provides digital marketing and media solutions.
Adobe’s suite of graphic design solutions is already popular among users, and it might gain further traction due to the tech giant’s generative AI model called Firefly. Today, Firefly has created over 12 billion images and will soon launch a version that can be used for video.
With gross margins of over 90% and a net margin north of 30%, Adobe is highly profitable. However, in the last 12 months, it has reported a free cash flow of $6.55 billion, down from $6.9 billion in 2023, driving the tech stock lower.
Down 27.4% from all-time highs, Piper Sandler expects ADBE stock to recover its losses in 2024 due to the software company’s AI-powered offerings. In an investor note, the firm wrote, “The new innovation product cycle is underappreciated, and could help reignite growth.”
Piper Sandler is “Overweight” on Adobe with a target price of $635, indicating an upside potential of 26.5%.
Out of the 31 analysts covering ADBE stock, 22 recommend “strong buy,” one recommends “moderate buy,” six recommend “hold,” and two recommend “strong sell.” The average target price for ADBE stock is $611, 21.7% higher than the current trading price.
#3. Salesforce Stock
Finally we have Salesforce (CRM), one of the largest SaaS (software-as-a-service) companies globally. Salesforce stock is valued at $279.4 billion by market cap, and is down 9.5% from record levels.
Salesforce’s revenue has increased from $21.1 billion in fiscal 2021 (which ended in January) to $36.46 billion in the last 12 months. In this period, operating income has grown over 12x from $455 million to $6.95 billion, while free cash flow has widened from $4 billion to $11.46 billion.
Piper Sandler has an “Overweight” rating on CRM stock with a target price of $325, 12% higher than the current price. It also has a bull-case price target of $405, indicating an upside potential of almost 40%. Piper Sandler explained that Salesforce has outperformed the broader indices in the last three months due to consistent revenue growth and expanding margins.
Out of the 42 analysts covering CRM stock, 30 recommend “strong buy,” two recommend “moderate buy,” nine recommend “hold,” and one recommends “strong sell.” CRM is now a “strong buy” on Wall Street, up from “moderate buy” one month ago. The average target price for CRM stock is $309.82, about 6.8% higher than the current trading price.
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On the date of publication, Aditya Raghunath did not have (either directly or indirectly) positions in any of the securities mentioned in this article. All information and data in this article is solely for informational purposes. For more information please view the Barchart Disclosure Policy here.
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Amazon is making it easier to analyze transactional data held in its Aurora PostgreSQL and DynamoDB databases by avoiding the need for ETL routines when moving data from them into its Redshift data warehouse.
Aurora is Amazon’s relational database service built for its public cloud with full MySQL and PostgreSQL support. Aurora MySQL is a drop-in replacement for MySQL, the open-source RDBMS, and Aurora PostgreSQL is a drop-in replacement for PostgreSQL. MySQL and PostgreSQL are both open-source relational database management systems (RDBMS) for transactional data, with Amazon saying: ”They store data in tables that are interrelated to each other via common column values.”
DynamoDB is Amazon’s fully managed proprietary NoSQL database intended for use with non-relational databases. Such databases store data within one data structure, like a JSON document, instead of the tabular structure of a relational database.
Redshift is Amazon’s cloud data warehouse for data analytics. It needs feeding with transactional data if its analytic processes are going to analyze that data. Normally ETL (Extract, Transform and Load) routines are used to select datasets from a source, transform them and move them into a target data warehouse. The zero-ETL concept is to do away with such routines by having the necessary integration functions built in to the source databases.
There are existing, generally available, zero-ETL integrations for Aurora MySQL and Amazon RDS for MySQL with Redshift, which enable customers to combine data from multiple relational and non-relational databases in Redshift for analysis. Amazon RDS (Relational Database Service) is a managed SQL database service which supports Aurora, MySQL, PostgreSQL, MariaDB, Microsoft SQL Server, and Oracle database engines.
Amazon claims Zero-ETL integrations mean that IT staff do not have to build and manage ETL pipelines and operate them. AWS blogger Senior Solutions Architect Esra Kayabali says zero-ETL: “automates the replication of source data to Amazon Redshift, simultaneously updating source data for you to use in Amazon Redshift for analytics and machine learning (ML).”
You still need an ETL function but these AWS products now set up, operate, and manage the whole thing. Kayabali blogs: “To create a zero-ETL integration, you specify a source and Amazon Redshift as the target. The integration replicates data from the source to the target data warehouse, making it available in Amazon Redshift seamlessly, and monitors the pipeline’s health.”
Her blog tells readers how to “create zero-ETL integrations to replicate data from different source databases (Aurora PostgreSQL and DynamoDB) to the same Amazon Redshift cluster. You will also learn how to select multiple tables or databases from Aurora PostgreSQL source databases to replicate data to the same Amazon Redshift cluster. You will observe how zero-ETL integrations provide flexibility without the operational burden of building and managing multiple ETL pipelines.”
Amazon is here integrating its own databases with its own data warehouse. When the target data warehouse is owned and operated by one supplier and the source databases by others, partnerships with third parties are needed to get rid of the ETL pipeline development and operation burden.
Bryteflow tells us: “The zero-ETL process assumes native integration between sources and data warehouses (native integration means there is an API to directly connect the two) or data virtualization mechanisms (they provide a unified view of data from multiple sources without needing to move or copy the data). Since the process is much more simplified and the data does not need transformation, real-time querying is easily possible, reducing latency and operational costs.”
Snowflake says it has zero-ETL data sharing capabilities across clouds and regions. It is partnering with Astro so that customers can orchestrate ETL operations in Snowflake with Astro using the Snowflake provider for Airflow.
CData says itsSync offering “provides a straightforward way to continuously pipeline your Snowflake data to any Database, Data Lake, or Data Warehouse, making it easily available to Analytics, Reporting, AI, and Machine Learning.”
You can learn more in Kayabali’s post.
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Large language models generally train on unstructured data such as text and media. But most enterprise data security strategies are designed around structured data (data organized in traditional databases or formal schemas).
The use of unstructured data in GenAI introduces new challenges for governance, privacy and security that these traditional approaches aren’t equipped to handle.
We spoke to Rehan Jalil, CEO of Securiti, to discuss how organizations need to rethink how they’re governing and protecting unstructured data in order to safely leverage GenAI.
BN: How does unstructured data differ from structured data?
RJ: At a high level, the difference is straightforward. Structured data is any data that lives in traditional row-column databases (i.e., relational or SQL databases, Excel documents or data warehouses) or has a predefined data model. This tends to include things like financial transactions, inventory information, and patient records.
Unstructured data is all the other data that doesn’t exist in spreadsheets and databases (often stored in non-relational or NoSQL databases or data lakes). It’s typically text-heavy and lacks the organization and properties of structured data — for example, all of the documents, emails, social media posts, web pages, and multimedia content that a company may have or own. It can also include all the regulations and policies that companies may need to adhere to, such as tax codes or insurance terms of coverage.
Today, about 90 percent of data being generated in enterprises is unstructured.
BN: How does this impact generative AI deployments?
RJ: In the past, companies really just mined their structured data to make business decisions. But GenAI is upending that. Most generative AI models work by analyzing unstructured data, such text data on the web, and provide outputs based on that data. Generative AI technologies employ this data to train models and build natural language processing capabilities. This causes a problem for organizations as the vast majority of their data management solutions were built for structured data.
The issue is that the industry has not put the same resources into developing technologies and strategies for managing unstructured data like they have for structured data. Lots of organizations struggle to even identify all the locations where their unstructured data might live — across which shared drives, cloud systems, applications, and so on. And once it is identified, unstructured data requires different, more complex management and specialized techniques in order for data teams to extract meaningful insights and patterns from it — techniques such as natural language processing, text mining, and machine learning.
BN: Why is unstructured data so challenging to manage and secure?
RJ: There are a number of factors at play. The biggest issue is simply volume and variety. There’s massive amounts of unstructured data within organizations and it comes from a diverse range of sources, such as emails, documents, social media posts, and multimedia files. This makes it difficult for teams to keep track of and enforce consistent governance and security policies across the organization.
Uncontrolled access and sharing is another hurdle. Once created, unstructured data tends to grow quickly across various systems, devices, and cloud services as people copy, modify, manipulate, and share the content. Because of this, it can be very difficult to keep track of where data came from and who should have access.
Unstructured data also tends to live across many siloes and ownership is often fuzzy. The data is frequently created and managed by different departments or individuals within an organization, leading to data silos and ambiguity around data ownership and accountability. While structured data is more likely to have known ownership within an organization due to understood security or cost implications, a company’s unstructured data is often either sequestered for legitimate reasons (e.g., upcoming commentary for an acquisition) or for less desired causes (e.g., political boundaries between divisions).
Last, unstructured data comes in a diverse number of formats. Whereas structured data has collapsed into a small set of universal standards, SQL being a principal one, unstructured content systems have a multitude of formats and legacy patterns. The tools needed to manage these formats in a unified way are unique and require a commitment from the organization to deploy and use them.
BN: What should organizations do to safely use unstructured data for GenAI?
RJ: Managing unstructured data for generative AI is possible if enterprises acquire the seven key capabilities:
- Discover, catalog, and classify unstructured data: Automatically discover, catalog, and classify files and objects on the fly, which are essential for GenAI projects.
- Preserve access entitlements of unstructured data: Maintain existing enterprise entitlements at source systems to ensure that only authorized users access relevant data via GenAI prompts.
- Trace the lineage of unstructured data: Understand data mapping and flows from source to end results, showing how the data moves from unstructured data systems to vector databases, to LLMs, and finally to endpoints.
- Curate unstructured data: Automate the labeling or tagging of files to ensure that only relevant data with associated context is fed to GenAI models, thereby providing accurate responses with citations.
- Sanitize unstructured data: Classify and redact or mask sensitive data from files that GenAI projects use.
- Focus on the quality of unstructured data: Emphasize the freshness, uniqueness, and relevance of data to prevent unintended data usage in GenAI projects.
- Secure unstructured prompts and responses with pre-configured policies: Detect, classify, and redact sensitive information on the fly, block toxic content, and enforce compliance with topic and tone guidelines.
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Binstellar: Your Premier Mean Stack Development Company
In the ever-evolving world of web development, having a robust technology stack is crucial for creating scalable and efficient applications. One of the most powerful stacks available today is the MEAN stack, which consists of MongoDB, Express.js, Angular, and Node.js. Partnering with a proficient mean stack development company Binstellar can significantly enhance your web application development process.
Understanding the MEAN Stack
The MEAN stack is a collection of technologies that allows developers to build dynamic web applications using JavaScript at every layer of the development process. Here’s a brief overview of each component:
1. MongoDB: A NoSQL database that stores data in a flexible, JSON-like format, making it ideal for applications with large volumes of unstructured data.
2. Express.js: A web application framework for Node.js that simplifies the development of web applications and APIs by providing a robust set of features.
3. Angular: A front-end framework maintained by Google, designed for building dynamic single-page applications (SPAs) with a rich user experience.
4. Node.js: A server-side platform built on Chrome’s JavaScript runtime, enabling developers to build scalable network applications.
By leveraging the MEAN stack, businesses can develop full-stack applications with a consistent language, reducing complexity and improving efficiency throughout the development process.
Why Choose Binstellar’s MEAN Stack Development Services?
When it comes to hiring a mean stack developer, choosing Binstellar ensures you receive top-notch services tailored to your business needs. Here are some reasons why you should consider our MEAN stack development services:
Expertise and Experience
At Binstellar, we boast a team of highly skilled MEAN stack developers with extensive experience in building robust applications. Our developers are proficient in the latest technologies and best practices, ensuring that your project is executed to the highest standards.
Customized Solutions
We understand that every business has unique requirements. Our team works closely with you to comprehend your vision and goals, allowing us to create customized solutions that align perfectly with your objectives. Whether you need a new application or want to enhance an existing one, we’ve got you covered.
Agile Development Process
Binstellar employs an agile development methodology, allowing for flexibility and adaptability throughout the project lifecycle. This approach enables us to deliver high-quality products while accommodating any changes or feedback you may have along the way.
Comprehensive Support
Our commitment to your success doesn’t end with the delivery of your project. We offer ongoing support and maintenance services to ensure your application remains up-to-date, secure, and optimized for performance. Our team is always available to address any issues or make enhancements as needed.
Cost-Effective Solutions
We believe that high-quality development services should be accessible to businesses of all sizes. Binstellar offers competitive pricing for our MEAN stack development services, ensuring you receive exceptional value without compromising on quality.
Proven Track Record
Our portfolio showcases a wide range of successful projects across various industries. We take pride in our ability to deliver solutions that not only meet but exceed our clients’ expectations. Our focus on quality and client satisfaction has earned us a strong reputation in the industry.
Conclusion
In the fast-paced digital landscape, choosing the right technology stack and development partner is crucial for your business’s success. The MEAN stack offers unparalleled advantages, and Binstellar stands out as a leading mean stack development company dedicated to delivering top-quality applications tailored to your needs. Our experienced mean stack developers are ready to bring your vision to life with innovative solutions that drive results.
If you’re looking to develop a scalable and dynamic web application, don’t hesitate to contact Binstellar today. Let us help you leverage the full potential of the MEAN stack for your business.
Article originally posted on mongodb google news. Visit mongodb google news
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SG Americas Securities LLC cut its position in shares of MongoDB, Inc. (NASDAQ:MDB – Free Report) by 44.2% in the 3rd quarter, according to the company in its most recent disclosure with the SEC. The fund owned 2,501 shares of the company’s stock after selling 1,985 shares during the quarter. SG Americas Securities LLC’s holdings in MongoDB were worth $676,000 as of its most recent filing with the SEC.
Other institutional investors also recently bought and sold shares of the company. Transcendent Capital Group LLC acquired a new position in shares of MongoDB during the 4th quarter worth $25,000. MFA Wealth Advisors LLC purchased a new position in MongoDB during the 2nd quarter valued at about $25,000. Sunbelt Securities Inc. raised its position in MongoDB by 155.1% during the first quarter. Sunbelt Securities Inc. now owns 125 shares of the company’s stock worth $45,000 after acquiring an additional 76 shares during the last quarter. J.Safra Asset Management Corp lifted its holdings in shares of MongoDB by 682.4% in the second quarter. J.Safra Asset Management Corp now owns 133 shares of the company’s stock valued at $33,000 after purchasing an additional 116 shares in the last quarter. Finally, Quarry LP grew its position in shares of MongoDB by 2,580.0% in the second quarter. Quarry LP now owns 134 shares of the company’s stock valued at $33,000 after purchasing an additional 129 shares during the last quarter. 89.29% of the stock is currently owned by hedge funds and other institutional investors.
MongoDB Price Performance
Shares of NASDAQ MDB opened at $292.86 on Monday. The company has a debt-to-equity ratio of 0.84, a current ratio of 5.03 and a quick ratio of 5.03. MongoDB, Inc. has a 1-year low of $212.74 and a 1-year high of $509.62. The company has a market capitalization of $21.48 billion, a price-to-earnings ratio of -104.22 and a beta of 1.15. The business has a 50-day moving average of $265.14 and a 200-day moving average of $287.65.
MongoDB (NASDAQ:MDB – Get Free Report) last issued its quarterly earnings data on Thursday, August 29th. The company reported $0.70 earnings per share (EPS) for the quarter, beating the consensus estimate of $0.49 by $0.21. MongoDB had a negative net margin of 12.08% and a negative return on equity of 15.06%. The company had revenue of $478.11 million during the quarter, compared to the consensus estimate of $465.03 million. During the same quarter last year, the company earned ($0.63) earnings per share. MongoDB’s revenue for the quarter was up 12.8% on a year-over-year basis. On average, equities analysts anticipate that MongoDB, Inc. will post -2.44 EPS for the current fiscal year.
Insider Transactions at MongoDB
In other MongoDB news, CAO Thomas Bull sold 1,000 shares of the stock in a transaction on Monday, September 9th. The shares were sold at an average price of $282.89, for a total transaction of $282,890.00. Following the transaction, the chief accounting officer now directly owns 16,222 shares in the company, valued at $4,589,041.58. This represents a 0.00 % decrease in their position. The transaction was disclosed in a legal filing with the SEC, which is available through this link. In other news, CEO Dev Ittycheria sold 3,556 shares of MongoDB stock in a transaction that occurred on Wednesday, October 2nd. The stock was sold at an average price of $256.25, for a total value of $911,225.00. Following the completion of the transaction, the chief executive officer now owns 219,875 shares in the company, valued at approximately $56,342,968.75. This trade represents a 0.00 % decrease in their position. The sale was disclosed in a legal filing with the Securities & Exchange Commission, which can be accessed through the SEC website. Also, CAO Thomas Bull sold 1,000 shares of the company’s stock in a transaction that occurred on Monday, September 9th. The shares were sold at an average price of $282.89, for a total value of $282,890.00. Following the sale, the chief accounting officer now directly owns 16,222 shares in the company, valued at approximately $4,589,041.58. This represents a 0.00 % decrease in their ownership of the stock. The disclosure for this sale can be found here. Over the last quarter, insiders sold 15,896 shares of company stock valued at $4,187,260. 3.60% of the stock is currently owned by corporate insiders.
Analysts Set New Price Targets
A number of equities research analysts recently issued reports on the company. Stifel Nicolaus upped their target price on MongoDB from $300.00 to $325.00 and gave the company a “buy” rating in a research note on Friday, August 30th. Piper Sandler lifted their price objective on MongoDB from $300.00 to $335.00 and gave the stock an “overweight” rating in a research report on Friday, August 30th. DA Davidson boosted their target price on shares of MongoDB from $330.00 to $340.00 and gave the company a “buy” rating in a research note on Friday. Truist Financial raised their price target on shares of MongoDB from $300.00 to $320.00 and gave the stock a “buy” rating in a research note on Friday, August 30th. Finally, Morgan Stanley boosted their price objective on shares of MongoDB from $320.00 to $340.00 and gave the company an “overweight” rating in a research report on Friday, August 30th. One analyst has rated the stock with a sell rating, five have assigned a hold rating and twenty have given a buy rating to the stock. Based on data from MarketBeat.com, the company presently has an average rating of “Moderate Buy” and an average price target of $337.96.
About MongoDB
MongoDB, Inc, together with its subsidiaries, provides general purpose database platform worldwide. The company provides MongoDB Atlas, a hosted multi-cloud database-as-a-service solution; MongoDB Enterprise Advanced, a commercial database server for enterprise customers to run in the cloud, on-premises, or in a hybrid environment; 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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Article originally posted on mongodb google news. Visit mongodb google news