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DataStax launches Astra Streaming for continuous processing of real-time data streams

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Database company DataStax Inc. is boosting its offerings with the launch of its Astra Streaming data streaming service in general availability.

Astra Streaming, built atop the open-source Apache Pulsar project, is designed to help enterprise customers get more value from their real-time data streams by analyzing that information as it’s created.

Often considered a rival to Apache Kafka, Pulsar is a publish-and-subscribe messaging platform that provides a way for software applications to communicate with one another and share data in real time. It also helps apps process information faster by eliminating the need to extract, transact and load data first, or by moving it through a data lake or data warehouse, as is normally the case with data analytics.

The platform was developed at Yahoo Inc. to combine high-performance streaming and message queuing into a single model and application program interface. The main difference between Pulsar and Kafka is that the former was designed for shared consumption, while the latter was primarily built to support single streams. As a result, DataStax argues, Pulsar is better suited for workflow applications involving multiple users.

Astra Streaming works by creating a “unified event fabric” that stretches across an enterprise’s data-in-motion, covering on premises, cloud and edge environments, DataStax said. It leverages multiple data connectors to power a real-time data ecosystem, where newly created data can flow instantly from data sources and applications to streaming analytics and machine learning systems.

DataStax said Astra Streaming has been designed to work in tandem with Astra DB, which is a NoSQL database that’s built atop of the Apache Cassandra open-source project. Astra DB is the company’s flagship product and is known for its high capacity, since it can store petabytes of data, plus its reliability, because it can withstand major outages and ensure all of the data it stores remains accessible.

DataStax said it sees Astra Streaming and Astra DB as core components of its data stack for real-time applications. By combining the two offerings, DataStax said it can offer unified data-at-rest and streaming data-in-motion capabilities, allowing users to mobilize all of their data for real-time applications, build smart apps and scale as far and as wide as they need to go.

Chris Latimer, vice president of product management at DataStax, said that’s important because many enterprises struggle to deal with fragmented and complex streaming architectures. Most data-in-motion remains siloed in legacy messaging and queuing middleware because existing tools can’t handle it, he said.

“These valuable veins of data are impossible to harvest through Kafka,” Latimer continued. “With the built-in support for Kafka, RabbitMQ and JMS, Astra Streaming makes it easy to unify all data-in-motion in a modern, multi-cloud streaming service designed for scale.”

DataStax makes a strong case for using Pulsar, and henceforth Astra Streaming, over Kafka. It cites recent research from GigaOm that shows how Pulsar has better performance and efficiency at scale compared with Kafka, especially when data is distributed geographically.

GigaOm found that Pulsar offers 35% higher performance in such cases, with costs estimated to be 81% lower over a three-year period. Latimer added that DataStax’s own research has found that organizations are becoming frustrated with both Kafka’s sprawling architecture and also the high licensing costs required to make it enterprise-ready.

“With Astra Streaming, organizations can leverage their investment in Kafka and get the benefits of superior performance, elastic scale and compelling economics… without rewriting their Kafka apps,” Latimer added.

Latimer isn’t the only one singing Astra Streaming’s praises. International Data Corp. analyst Amy Machado said that business today happens in real time, so it’s imperative for enterprises to continuously process streams of data to optimize their decision-making and actions.

“Streaming data can be a game changer for companies to make predictive business decisions and gain competitive advantages,” Machado said. “DataStax delivers a unique cloud-native architecture that can manage both streaming data-in-motion and operational data-at-rest so enterprises can get value in real time from all of their data.”

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Yugabyte distributed SQL database adds migration service – TechTarget

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Open source distributed SQL database vendor Yugabyte released version 2.15 of its YugabyteDB database, bringing new workload optimization and migration capabilities to users.

Yugabyte raised $188 million in a Series C round of funding in October 2021 as the vendor continued to build out its database.

With the YugabyteDB update, released on June 28, the vendor added new dynamic workload optimization capabilities designed to enable faster queries and more efficient use of infrastructure resources.

Alongside the database update, the distributed SQL database vendor introduced its Voyager migration service, which is intended to help users of other databases more easily migrate to Yugabyte.

Yugabyte faces a several competitors in the distributed SQL database market including CockroachDB, which recently updated to version 22.1 as well as Google’s AlloyDB cloud database. CockroachDB, AlloyDB and YugabyteDB all aim for compatibility with the open source PostgreSQL database. One area that Yugabyte has yet to address, is supporting more than just transaction workloads on its database.

“Yugabyte is not yet targeting analytical workloads, which keeps it in a smaller set of opportunities, but the continuing enhancement of its PostgreSQL capabilities will begin to address that,” said Gartner analyst Merv Adrian. “Yugabyte is using its considerable war chest to add maturity to its offering with a substantial enterprise-class feature set.”

Adding optimized workload management and migration utilities will help Yugabyte in the competitive market, as the vendor looks to help organizations support distributed transactional applications, Adrian said.

Dynamic workload optimization

In a distributed SQL database, data is often split up using sharding to enable high availability.

Workloads often have different table compositions that can affect workload and query performance with distributed SQL.

For example, some workloads have more tables than rows, which can often lead to more SQL joins, which is how different tables can be connected for a data query. Other workloads entail more data writes into small tables.

With a distributed SQL database like YugabyteDB, in which data is sharded and shared across many nodes, the different types of tables have generally been treated the same in the past, noted Yugabyte co-founder and CTO Karthik Ranganathan.

With the 2.15 update Yugabyte has introduced the notion of a table group, which combines similar database tables into a group that Ranganathan called a “tablet.” The basic idea is that by grouping the tables, the workloads can be optimized for the tablet.

Optimization with the table group approach is different than just caching a database with a technology like Redis, which operates on rows in a database, Ranganathan said.

In contrast, Yugabyte’s approach works at the table level. The dynamic workload optimization capability works inside of the Yugabyte database, automatically figuring how to optimize the data for query performance.

Voyager comes to Yugabyte to ease database migration

Part of the 2.15 release is in the inclusion of the Voyager tool for database migration.

Developers know and use many databases and pre-existing applications that organizations are trying to move to distributed SQL for more scale and high availability in the cloud.

The initial release of Voyager provides support for database migration from MySQL, PostgreSQL and Oracle Database. Voyager works by understanding the features available in the source database and inspecting the schema to determine how it can be mapped into a YugabyteDB cluster.

Currently Voyager does a point-in-time migration for an existing source database, but Yugabyte’s plan is to enable a live migration capability.

Some organizations might want to continue to run the existing source database for a period of time, while testing out a Yugabyte deployment, Ranganathan said. With live migration, data and schema on the source database and the new Yugabyte deployment can be kept synchronized.

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DataStax makes Astra Streaming service generally available – InfoWorld

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Just months after adding low-latency change data capture (CDC) capabilities to its AstraDB NoSQL database-as-a-service, DataStax on Wednesday said that it was making its managed Astra Streaming service generally available.

Built on the open source Apache Pulsar project, Astra Streaming comes with built-in API-level support for other streaming and messaging platforms such as Apache Kafka, RabbitMQ and Java Message Service (JMS), said Patrick McFadin, vice president of developer relations at DataStax.

Originally built at Yahoo, Pulsar has emerged as an open source event-streaming tool to rival Apache Kafka, which processes and delivers database changes in real time and distributes the results to the enterprise’s choice of landing zone.

With Astra Streaming, DataStax wants to help enterprises deal with the challenge of becoming cloud-native and finding efficiencies around their existing infrastructure, the company said.

“We didn’t want to tell enterprises to just go rewrite their applications from the ground up just to use some new technology and that’s why we have built Astra Streaming on opensource Pulsar and have integrated support for other popular streaming and messaging services such as Kafka,” McFadin said.  

Astra Streaming, which comes with a pay-as-you-go pricing structure and supports multicloud environments, is expected to offer a lower cost of ownership than other messaging and streaming services, said Chris Latimer, vice president of product management at DataStax.

“We’ve found that while organizations like the Kafka API, they are getting increasingly frustrated by its sprawling architecture and the high licensing costs required to make Kafka enterprise-ready,” Latimer said.

Astra responds to demand for real-time streaming

As businesses look to offset the negative impact of the pandemic and other geopolitical scenarios, there is a rising demand for real-time interactive applications, which in turn raises a case for real-time streaming of data and the need for a service such as Astra Streaming. 

“Business happens in real time, continuously processing streams of data is imperative for enterprises to optimize decisions, actions and experiences. Streaming data can be a game changer for companies to make predictive business decisions and gain competitive advantages,” said Amy Machado, research director at IDC.

The launch of the new managed streaming service could aid efforts to eliminate enterprise data silos and support modern data applications, thereby increasing the chance of adoption among developers, said Matt Aslett, research director at Ventana Research.

“Managed services facilitate adoption by developers by reducing the need for upfront infrastructure configuration and ongoing operational management and monitoring,” Aslett said.

Astra Streaming may appeal to developers as it solves challenges related to the complexity of building real-time analytics solutions, said Hyoun Park, chief analyst at Amalgam Insights.

Astra Streaming, in combination with the database, will also aid in supporting applications built on data-in-motion that form the backbone of real-time analytics, Aslett said.

What is data-in-motion?

Data-in-motion is the data that travels between connected devices at the edge and the database. Applications that are built on data-in-motion have the ability to process this data, thereby providing real-time updates.

Astra Streaming can be used to build pipelines to transport data into and out of AstraDB in real time. Here, Astra Streaming serves as a core CDC component of AstraDB, enabling data synchronization from Astra DB to other data platforms and applications as the database is updated, Aslett explained.

Astra Streaming can be used without the combination of the database, Aslett said.

Datastax seems to have increased its total addressable market with the new announcement and might have an advantage over its rivals with the release of Astra Streaming, analysts said.

“This step forward (Astra Streaming) makes DataStax more established as a starting point for being a real-time platform at a time when every database of note is seeking to move forward as a development platform,” Park said, adding that AstraDB was already seen as a leader for supporting real time analytics.

The new service can also be expected to complement Astra DB’s georeplication capabilities database. “Pulsar topics can span multiple data centers in different geographic regions,” said Sanjeev Mohan, former research vice president of big data and analytics at Gartner.

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Buy or Sell MongoDB Inc. (MDB) Stock Now | Don't Try to Be a Top Gun – News Heater

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MongoDB Inc. (NASDAQ:MDB) went down by -6.87% from its latest closing price compared to the recent 1-year high of $590.00. The company’s stock price has collected 3.26% of gains in the last five trading sessions. Barron’s reported on 06/24/22 that Next Big Issue for Software Stocks Will Be Sharp Cuts in Earnings Estimates

Is It Worth Investing in MongoDB Inc. (NASDAQ :MDB) Right Now?

Plus, the 36-month beta value for MDB is at 0.83. Opinions of the stock are interesting as 15 analysts out of 21 who provided ratings for MongoDB Inc. declared the stock was a “buy,” while 2 rated the stock as “overweight,” 3 rated it as “hold,” and 1 as “sell.”

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MDB currently public float of 64.32M and currently shorts hold a 7.28% ratio of that float. Today, the average trading volume of MDB was 1.63M shares.

MDB’s Market Performance

MDB stocks went up by 3.26% for the week, with a monthly jump of 19.43% and a quarterly performance of -33.87%, while its annual performance rate touched -28.49%. The volatility ratio for the week stands at 7.32% while the volatility levels for the past 30 days are set at 8.09% for MongoDB Inc. The simple moving average for the period of the last 20 days is 3.75% for MDB stocks with a simple moving average of -32.90% for the last 200 days.

Analysts’ Opinion of MDB

Many brokerage firms have already submitted their reports for MDB stocks, with Needham repeating the rating for MDB by listing it as a “Buy.” The predicted price for MDB in the upcoming period, according to Needham is $350 based on the research report published on June 10th of the current year 2022.

UBS, on the other hand, stated in their research note that they expect to see MDB reach a price target of $450, previously predicting the price at $345. The rating they have provided for MDB stocks is “Buy” according to the report published on March 18th, 2022.

RBC Capital Mkts gave a rating of “Outperform” to MDB, setting the target price at $505 in the report published on March 01st of the current year.

MDB Trading at -5.28% 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 -52.82% of loss for the given period.

Volatility was left at 8.09%, however, over the last 30 days, the volatility rate increased by 7.32%, as shares surge +11.31% for the moving average over the last 20 days. Over the last 50 days, in opposition, the stock is trading -33.17% lower at present.

During the last 5 trading sessions, MDB rose by +3.26%, which changed the moving average for the period of 200-days by -43.05% in comparison to the 20-day moving average, which settled at $269.69. In addition, MongoDB Inc. saw -47.42% 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 Ittycheria Dev, who sale 35,000 shares at the price of $299.03 back on Jun 08. After this action, Ittycheria Dev now owns 204,744 shares of MongoDB Inc., valued at $10,466,050 using the latest closing price.

MERRIMAN DWIGHT A, the Director of MongoDB Inc., sale 3,000 shares at $251.74 during a trade that took place back on Jun 01, which means that MERRIMAN DWIGHT A is holding 544,896 shares at $755,212 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 -47.90, with -13.50 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

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How to Install MongoDB on Rocky Linux and AlmaLinux – Bollyinside

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This tutorial is about How to Install MongoDB on Rocky Linux and AlmaLinux. We will try our best so that you understand this guide. I hope you like this blog, How to Install MongoDB on Rocky Linux and AlmaLinux. If your answer is yes, please do share after reading this.

Table of contents

Check How to Install MongoDB on Rocky Linux and AlmaLinux

MongoDB is a general-purpose, object-oriented, dynamic NoSQL database server used for developing modern dynamic applications. In MongoDB, data objects are stored as separate documents in a collection, unlike traditional relational databases that use rows and columns. There is both the community version, which is free to download, and the enterprise version, which is part of the Mongo Advanced subscription and has more features, such as LDAP, Kerberos, etc.

MongoDB Compass is the official MongoDB GUI tool that graphically supports creating, reading, updating, and deleting databases. It eliminates the need to run Mongo commands for each task. It allows you to explore data, execute queries and interact with the database with full CRUD functionality.

How to install MongoDB on Rocky Linux and AlmaLinux

Add the MongoDB repository

  • From the beginning, we are going to create a repository for MongoDB, as this is because MongoDB packages are not available in the Rocky Linux and AlmaLinux AppStream repositories.
  • So create the MongoDB repository as follows.
    • $ sudo vim /etc/yum.repos.d/mongodb-org.repo
  • Then paste the following configuration below. This will allow you to install the latest version which, at the time of publishing, is MongoDB 4.4.
    • name=MongoDB repository
    • baseurl=https://repo.mongodb.org/yum/redhat/$releasever/mongodb-org/4.4/x86_64/
    • gpcheck=1
    • enabled=1
    • gpgkey=https://www.mongodb.org/static/pgp/server-4.4.asc
  • Once you’ve added the repository, update the system repositories to sync the newly added MongoDB repository with the system.

Install MongoDB on Rocky Linux

  • Moving on, we are now going to install MongoDB. To do this we will execute the command:
    • $ sudo dnf install mongodb-org
  • Press ‘y’ to import the GPG key from MongoDB and press ENTER.
  • Once the MongoDB installation is complete, check the installed version as follows.
  • The command provides the installed MongoDB version, among other details, such as the OpenSSL version and environment.

Start and enable MongoDB

  • The MongoDB daemon does not start automatically after installation. You can confirm this by running the command as follows.
    • $ sudo systemctl mongod status
  • First of all, we need to start the MongoDB daemon and enable it to start automatically at boot time. So, run the following commands sequentially to start and enable MongoDB
    • $ sudo systemctl start mongod
    • $ sudo systemctl enable mongod
  • Once again check the status of MongoDB and this time MongoDB will be up and running.
    • $ sudo systemctl mongod status
  • To login to the Mongo shell, run the command:

Using MongoDB to manage databases

  • With MongoDB installed, let’s do a quick review of some of the operations in the shell.
  • To see the databases currently in place, run the command shown. By default, MongoDB provides a test database called test.
  • To create a database, run the use command followed by the name of the nonexistent database. In this example, we are creating a database called tecmint-db.
  • Now let’s add some data. As discussed above, MongoDB stores data in records called documents. The data is in a JSON-like format, and the inputs exist as key-value pairs.
  • Here, we have created a document called students and inserted some student data as follows. Paste this into your MongoDB prompt and press ENTER.
    • db.students.insertOne(
    • { “Name”: “xyz”,
    • “Last Name”: “xzy”,
    • “City”: “xzy”,
    • “ID number” : xyz,
    • “Age”: xyz
    • }
    • )
  • To view the documents in your database, run the command.
  • To display the data stored in the documents run:
    • > db.students.find()O
    • > db.students.find().pretty()
  • To delete the document, the command will be:

Final words: How to Install MongoDB on Rocky Linux and AlmaLinux

I hope you understand this article, How to Install MongoDB on Rocky Linux and AlmaLinux. If your answer is no, you can ask anything via the contact forum section related to this article. And if your answer is yes, please share this article with your friends and family to give us your support.

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MongoDB (NASDAQ:MDB) Now Covered by Redburn Partners | MarketBeat

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Research analysts at Redburn Partners began coverage on shares of MongoDB (NASDAQ:MDBGet Rating) in a report issued on Wednesday, Briefing.com reports. The brokerage set a “sell” rating and a $190.00 price target on the stock. Redburn Partners’ target price would indicate a potential downside of 31.74% from the stock’s current price.

Several other analysts also recently commented on the stock. Oppenheimer dropped their price objective on shares of MongoDB from $490.00 to $400.00 and set an “outperform” rating on the stock in a report on Thursday, June 2nd. Mizuho dropped their price objective on shares of MongoDB from $325.00 to $270.00 and set a “neutral” rating on the stock in a report on Wednesday, May 18th. William Blair reaffirmed an “outperform” rating on shares of MongoDB in a report on Tuesday, May 24th. Canaccord Genuity Group dropped their price objective on shares of MongoDB from $400.00 to $300.00 in a report on Thursday, June 2nd. Finally, Morgan Stanley dropped their price objective on shares of MongoDB from $378.00 to $368.00 and set an “overweight” rating on the stock in a report on Thursday, June 2nd. One research analyst has rated the stock with a sell rating, one has issued a hold rating and fifteen have issued a buy rating to the company’s stock. According to MarketBeat.com, the stock has a consensus rating of “Moderate Buy” and an average target price of $406.82.

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NASDAQ:MDB opened at $278.35 on Wednesday. The company has a market cap of $18.96 billion, a PE ratio of -57.51 and a beta of 1.00. MongoDB has a twelve month low of $213.39 and a twelve month high of $590.00. The company has a current ratio of 4.16, a quick ratio of 4.16 and a debt-to-equity ratio of 1.69. The company’s 50 day moving average is $284.75 and its two-hundred day moving average is $370.90.

MongoDB (NASDAQ:MDBGet Rating) last released its earnings results on Wednesday, June 1st. The company reported $0.20 earnings per share for the quarter, topping the consensus estimate of ($1.34) by $1.54. The company had revenue of $285.45 million for the quarter, compared to the consensus estimate of $267.10 million. MongoDB had a negative net margin of 32.75% and a negative return on equity of 45.56%. MongoDB’s revenue was up 57.1% compared to the same quarter last year. During the same quarter in the previous year, the firm earned ($0.98) EPS. As a group, analysts expect that MongoDB will post -5.09 EPS for the current fiscal year.

In other MongoDB news, Director Dwight A. Merriman sold 14,000 shares of the company’s stock in a transaction on Monday, May 2nd. The shares were sold at an average price of $349.22, for a total transaction of $4,889,080.00. Following the completion of the transaction, the director now directly owns 1,323,384 shares in the company, valued at $462,152,160.48. The transaction was disclosed in a document filed with the Securities & Exchange Commission, which is accessible through this hyperlink. Also, insider Thomas Bull sold 2,500 shares of the company’s stock in a transaction on Thursday, March 31st. The stock was sold at an average price of $444.14, for a total transaction of $1,110,350.00. Following the sale, the insider now directly owns 17,904 shares of the company’s stock, valued at approximately $7,951,882.56. The disclosure for this sale can be found here. Insiders have sold 89,809 shares of company stock valued at $32,563,575 over the last 90 days. 5.70% of the stock is currently owned by company insiders.

Institutional investors have recently added to or reduced their stakes in the company. Veriti Management LLC purchased a new stake in shares of MongoDB in the first quarter valued at about $248,000. IFM Investors Pty Ltd grew its holdings in shares of MongoDB by 41.3% in the first quarter. IFM Investors Pty Ltd now owns 9,937 shares of the company’s stock valued at $4,408,000 after purchasing an additional 2,905 shares during the period. Baldwin Brothers LLC MA grew its holdings in shares of MongoDB by 8.7% in the first quarter. Baldwin Brothers LLC MA now owns 815 shares of the company’s stock valued at $362,000 after purchasing an additional 65 shares during the period. Northern Trust Corp grew its holdings in shares of MongoDB by 3.1% in the fourth quarter. Northern Trust Corp now owns 405,648 shares of the company’s stock valued at $214,731,000 after purchasing an additional 12,223 shares during the period. Finally, Mercer Global Advisors Inc. ADV purchased a new stake in shares of MongoDB in the fourth quarter valued at about $200,000. 88.70% of the stock is owned by institutional investors and hedge funds.

MongoDB Company Profile (Get Rating)

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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Analyst Recommendations for MongoDB (NASDAQ:MDB)

This instant news alert was generated by narrative science technology and financial data from MarketBeat in order to provide readers with the fastest and most accurate reporting. This story was reviewed by MarketBeat’s editorial team prior to publication. Please send any questions or comments about this story to [email protected]

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MongoDB Inc. (NASDAQ: MDB) Stock Sentiment Check: What Does Wall Street Say?

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MongoDB Inc. (NASDAQ:MDB) traded at $278.35 at close of the session on Tuesday, 06/28/22, made a downward move of -6.87% on its previous day’s price.

Looking at the stock we see that its previous close was $298.89 and the beta (5Y monthly) reads 1.00 with the day’s price range being $273.36 – $301.39. In terms of its 52-week price range, MDB has a high of $590.00 and a low of $213.39. The company’s stock has gained about 19.43% over that past 30 days.

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MongoDB Inc. has a market cap of $18.18 billion and is expected to release its quarterly earnings report on Aug 31, 2022 – Sep 05, 2022. Estimates by analysts give the company expected earnings per share (EPS) of -$0.28, with the EPS growth for the year raised at -$0.21 for 2023 and $0.23 for next year. These figures represent 64.40% and 209.50% growth in EPS for the two years respectively.

Analysts tracking the company’s growth have also given it a consensus growth in revenue estimated at $282.53 million, with a low of $280.18 million and a high of $293.97 million. According to analyst consensus estimates figures, the company’s yearly revenue forecast for 2023 is expected to hit $1.19 billion, or 36.60% up from figures reported last year.

There have been no upward and no downward revisions for the stock’s EPS in last 7 days, something that reflects the nature of company’s price movement in short term. On the other hand, looking at the outlook for the MDB stock, short term indicators assign the stock an average of 50% Sell, while medium term indicators assign it an average of 100% Sell. Long term indicators on average place the stock in the category of 100% Sell.

Based on estimates by 21 analysts, where scores have ranged from 1.00 for a strong buy to 5.00 for a strong sell, 3 have rated the MongoDB Inc. (MDB) stock as a Hold, while 15 rate it as a Buy. 2 analyst(s) rate it as overweight while 0 of them rated it as underweight, whereas 1 suggest the stock as a Sell. The stock has an overall rating of Overweight and investors could take advantage and scoop up stock of the company.

Looking further, we note the current price level is 3.75% off its SMA20 and -5.28% from its 50-day simple moving average. The RSI (14) is pointing at 50.75 while the volatility over the past week is 7.32% and jumps to 8.09% over the past one month. The beta value is 0.83, while the average true range (ATR) is currently pointing at 22.98. The average price target for the stock over the next 12 months is $373.60, with the estimates having a low of $270.00 and a high of $500.00. These price ends are 3.0% and -79.63% off the current price level respectively, although investors could be excited at the prospect of a -32.21% if the MDB share price touches on the median price of $368.00.

Let’s briefly compare MongoDB Inc. (MDB) stock to its peers. We find that current price change of -6.87% and -28.49% over the past 12 months for MDB competes that of Progress Software Corporation (PRGS), which has seen its stock price fall -3.99% in the last trading session and was 4.70% over the last one year. Another of its peers Pixelworks Inc. (PXLW) has gained 2.19% previous session, and was -47.77% down over the past year. In contrast to these companies, both the S&P 500 Index and the Dow Jones Industrial were at -2.01% and -1.56%, respectively, at close of the trading.

Coming back to MongoDB Inc. (NASDAQ:MDB), we note that the average 3-month trading volume was 1.63 million, while that of the preceding 10-day period stands at 1.57 million. Current shares outstanding are 67.71 million.

The insiders hold 2.70% of the company’s shares while institutions hold 90.70%. The data shows that short shares as of May 30, 2022, stood at 4.68 million at a short ratio of 2.28. This represents a 6.88% short interest in shares outstanding on May 30, 2022. Shares short rose in May from the previous month at 4.12 million. Investors should be excited about this stock as its upside potential is great, with current price pushing the stock -47.42% down in year-to-date price movement.

Article originally posted on mongodb google news. Visit mongodb google news

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IFM Investors Pty Ltd Purchases 2905 Shares of MongoDB, Inc. (NASDAQ:MDB)

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Posted on mongodb google news. Visit mongodb google news

IFM Investors Pty Ltd raised its position in shares of MongoDB, Inc. (NASDAQ:MDBGet Rating) by 41.3% in the first quarter, according to its most recent Form 13F filing with the Securities and Exchange Commission (SEC). The firm owned 9,937 shares of the company’s stock after acquiring an additional 2,905 shares during the period. IFM Investors Pty Ltd’s holdings in MongoDB were worth $4,408,000 as of its most recent SEC filing.

A number of other hedge funds have also recently added to or reduced their stakes in MDB. Confluence Wealth Services Inc. bought a new stake in shares of MongoDB in the fourth quarter valued at about $25,000. Arlington Partners LLC bought a new stake in shares of MongoDB in the fourth quarter valued at about $30,000. HBC Financial Services PLLC lifted its stake in shares of MongoDB by 3,233.3% in the fourth quarter. HBC Financial Services PLLC now owns 400 shares of the company’s stock valued at $39,000 after buying an additional 388 shares during the period. Covestor Ltd bought a new stake in shares of MongoDB in the fourth quarter valued at about $43,000. Finally, Montag A & Associates Inc. lifted its stake in shares of MongoDB by 200.0% in the fourth quarter. Montag A & Associates Inc. now owns 108 shares of the company’s stock valued at $57,000 after buying an additional 72 shares during the period. Institutional investors own 88.70% of the company’s stock.

In other MongoDB news, Director Dwight A. Merriman sold 3,000 shares of the stock in a transaction dated Wednesday, June 1st. The stock was sold at an average price of $251.74, for a total value of $755,220.00. Following the transaction, the director now owns 544,896 shares of the company’s stock, valued at $137,172,119.04. The transaction was disclosed in a legal filing with the Securities & Exchange Commission, which is available at this link. Also, insider Thomas Bull sold 2,500 shares of the stock in a transaction dated Thursday, March 31st. The shares were sold at an average price of $444.14, for a total value of $1,110,350.00. Following the completion of the transaction, the insider now directly owns 17,904 shares in the company, valued at approximately $7,951,882.56. The disclosure for this sale can be found here. In the last quarter, insiders sold 89,809 shares of company stock worth $32,563,575. 5.70% of the stock is owned by company insiders.

MongoDB stock opened at $278.35 on Wednesday. The business’s 50-day simple moving average is $284.75 and its 200 day simple moving average is $370.90. The stock has a market cap of $18.96 billion, a price-to-earnings ratio of -57.51 and a beta of 1.00. MongoDB, Inc. has a 12-month low of $213.39 and a 12-month high of $590.00. The company has a quick ratio of 4.16, a current ratio of 4.16 and a debt-to-equity ratio of 1.69.

MongoDB (NASDAQ:MDBGet Rating) last posted its quarterly earnings results on Wednesday, June 1st. The company reported $0.20 earnings per share (EPS) for the quarter, beating the consensus estimate of ($1.34) by $1.54. The business had revenue of $285.45 million for the quarter, compared to analysts’ expectations of $267.10 million. MongoDB had a negative return on equity of 45.56% and a negative net margin of 32.75%. The firm’s quarterly revenue was up 57.1% compared to the same quarter last year. During the same quarter last year, the business earned ($0.98) earnings per share. As a group, sell-side analysts expect that MongoDB, Inc. will post -5.09 EPS for the current year.

A number of analysts have weighed in on the company. Credit Suisse Group lowered their price target on MongoDB from $650.00 to $500.00 and set an “outperform” rating on the stock in a research report on Thursday, June 2nd. Barclays upped their price target on MongoDB from $330.00 to $338.00 and gave the company an “overweight” rating in a research report on Thursday, June 2nd. Mizuho lowered their price target on MongoDB from $325.00 to $270.00 and set a “neutral” rating on the stock in a research report on Wednesday, May 18th. Citigroup upped their price target on MongoDB from $405.00 to $425.00 in a research report on Thursday, June 2nd. Finally, Canaccord Genuity Group lowered their price target on MongoDB from $400.00 to $300.00 in a research report on Thursday, June 2nd. One investment analyst has rated the stock with a hold rating and fifteen have assigned a buy rating to the stock. According to data from MarketBeat.com, the stock has a consensus rating of “Moderate Buy” and an average price target of $420.38.

MongoDB Profile (Get Rating)

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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Want to see what other hedge funds are holding MDB? Visit HoldingsChannel.com to get the latest 13F filings and insider trades for MongoDB, Inc. (NASDAQ:MDBGet Rating).

Institutional Ownership by Quarter for MongoDB (NASDAQ:MDB)



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Article: Smashing Silos: Scaling up an Energy Tech Disrupter Remotely

MMS Founder
MMS Rebecca Mahoney Andy Molineux

Article originally posted on InfoQ. Visit InfoQ

Key Takeaways

  • Growth at pace is hard(!) and it’s all too easy to form silos and stretch too thin. Organisational structure is key to mitigating this – form highly aligned teams by sharing your company vision and immediate goals, and keep all teams loosely coupled with teams formed around product modules with clear end-to-end ownership of the tech stack.
  • Always put your people first – treat individuals as adults, and ensure everyone has the tools needed to have open conversations and give effective feedback. Give everyone as much freedom and self-directed growth as possible, to unleash their talents to drive your mission forward.
  • Never stop communicating, with teammates and across the organisation. Ensure key messages are given in various forms: in person, in writing, and even by video recording! 
  • Smash the silos – allow space for free movement between teams, making upcoming opportunities visible to all and double down on guilds as a way of sharing knowledge across teams and empower individuals to drive cross-organisational learning. 
  • Pay down “social debt” by making room for remote interactions that would happen naturally if you were in an office environment. Make the effort to reach out for a 5-minute debrief after a challenging meeting, or embrace the “organised fun” of team games!

Being a small EnTech disruptor in a rapidly evolving market can feel a bit daunting; add in an acquisition, a rebrand and twice the team members that you had a year ago and you have a recipe for growing pains. Here is how we leaned on our strengths and pulled experience from all directions to allow for team member fulfilment during a breakneck growth spurt.  

The impact of fast growth

Manchester-based KrakenFlex, previously Upside Energy, was founded in 2014 and acquired by Octopus Energy Group in 2020. Now part of the award-winning Kraken technology platform, KrakenFlex connects with a whole host of clean energy technologies, allowing it to control, dispatch and optimise those devices to match real-time energy demand and supply. This allows technologies like batteries to charge when prices are low and discharge when prices are high, as well as participating in services to help balance the electricity grid. 

At the end of 2020 we had 227MW capacity supported on our platform and 26 people working at KrakenFlex. Less than 18 months later, our capacity has grown sixfold to 1.3GW, and our headcount has nearly tripled. It’s an exciting journey but has certainly felt like a rollercoaster at times! 

We’ve struggled in a few areas over the past couple of years: how to grow sustainably without stretching ourselves too thin; we’ve fallen into silos occasionally where one hand does not know what the other is doing; and we’ve seen our “veteran” and team lead level people spinning many plates. Following the acquisition by Octopus Energy Group and the rebranding to KrakenFlex, we rapidly scaled the business by forming teams around product modules, improving internal communication and giving people the space to lead their teams. Since then we’ve minimised silos, replacing them with greater collaboration and responsibility for every team member. 

A key initiative that has driven this forward has been to be really clear on our business goals; the key performance indicators (KPIs) that we track to see how we’re progressing towards them; and setting quarterly company Objectives and Key Results (OKRs) to drive progress on strategic items. Our implementation of this hasn’t been perfect, and we’ve gone through a number of iterations to avoid teams independently coming up with their own OKRs that don’t align to the wider strategy! We’ve found that by focusing on company-level OKRs and sharing these widely and often with the team, we’re able to pull everyone together, and then let teams discuss and align on how their work is contributing towards our wider goals. 

We have a fantastic team of talented professionals who have stepped up to every challenge we’ve thrown at them and deliver a fantastic product and service to our customers every day. We’re proud of our culture of learning.

On a human level, one thing we focus on is supporting the team as everything changes and grows. When we were a small startup, it was quite natural for everyone to be involved in everything; but that approach doesn’t scale. The journey to more focused work is uncomfortable as it often involves letting go of work, work that you feel is important to your place and identity within KrakenFlex. We coach team members, showing them that we always have their back and that there are many opportunities for them to grow and try new things within the company. A key component of this is visibility for the team on where we’re headed as a company, what our product roadmap looks like and how we think our team structures may evolve in the coming year to keep pace with demand. Our product roadmap is continuously visible to the whole company using our shared planning tools, but we also talk through highlights at our fortnightly showcase once teams have demonstrated new functionality they have built. A forecast of our team’s structure for the coming quarter is also shared at each of our “all hands” town hall meetings and published on our intranet.

Keeping growth sustainable

Sustainable growth is all about our people – hiring fantastic folks who are passionate about our mission and want to take responsibility; creating a supportive environment with lean structures and processes to ensure everyone is working together; and continually listening and iterating on what we can do better.

Communication is key to all of that – we’re on a huge and important mission to create a new energy system for a better world and we’re growing very fast, so it’s going to be bumpy at times! We use programmes like Slack to allow seamless communication and community building both as individuals and across the whole company. No matter what you’re interested in, someone in the 3,000 strong global Octopus Energy Group team will have created a slack channel for it, building bridges across teams and improving inter-team relationships. Charity fundraising, creating custom emoji keyboards, sharing good news or simply recommending dinner spots – it’s all available in one place.

As individuals, we do that through encouraging a continuous learning culture, regular company-wide Q&A sessions with our CEO, and an accessible structure which means anyone can speak directly with the leadership team whenever they want or need to.

Bringing people along on the journey makes growth sustainable. In our industry there’s always going to be more opportunities than we can handle, and the current climate change reports published highlight the need for immediate global change. We found we were repeating the mantra of “it’s a marathon, not a sprint” and encouraging everyone to find a pace that means they can perform at their best and do the job they like the best. One of the key parts to this is allowing managers to source the training and development that they need; this can come in the form of learning from business mentors, attending short courses on specific business administration or simply following the tracks of a manager before them. This increases the sources and points of learning for different approaches – which may be stronger than a monolithic approach.

Much like our parent company, Octopus Energy Group, we also allow free movement between teams. If there is something specific that you are working on that is really getting you excited or pushing your professional buttons, it’s encouraged to seek that speciality out and foster it, allowing colleagues to adapt and experiment to find their calling.

Build bridges across siloed teams

As a fast-growing scaleup, one of the decisions we made when building our teams was to copy what small businesses do and make managers the HR, general manager and go-to person for their team. This gives our managers space to learn and progress, and often means that colleagues are happier because they have a strong relationship with their managers. Plus, team members “go find” the support they need, building bridges in the process. This has lots of benefits – it aligns teams directly to the value they’re building for customers and gives new starters a smaller footprint to onboard into. 

To ensure that siloes didn’t form, we took the time to bring everyone together as one KrakenFlex team, and talk about our mission and our goals for the year. We encourage teams to think about what success looks like to them and how it feeds into the wider goal, and how what they were building linked back to our shared company objectives. 

The other key thing we did was to double down on our guilds – communities of practice focused around specific technical or practical topics. In keeping up with our guilds we found cross-team relationships and knowledge sharing has strengthened which has helped to reduce silos.

Onboarding newcomers and collaborating remotely

Before the pandemic struck in March 2020, we had around 26 people in the business, all working out of our small office in the Northern Quarter in Manchester. Collaboration between teams was easy as everyone was sitting next to each other and had direct lines into senior management.

One key challenge we found as soon as we started hiring and onboarding remotely during the pandemic was that new people got to know their team and their part of the system really well, but didn’t have much visibility of the rest of the company. 

By bringing teams together at every company town hall meeting and work showcases – both online and onsite- we’ve been able to combat some of that. Weekly all-hands meetings with the teams and even the whole Octopus Energy Group give a taste of different parts of the business. We also record everything and make it available on internal systems and Slack, along with lots of guidance on how we work together. Anybody can ask questions and speak up when given the opportunity and it helps make new members know their opinion is always appreciated and considered.

We are big advocates of radical candour, a feedback approach developed by Kim Scott that encourages you to care personally and challenge directly. It provides a framework for people to give honest feedback built on a foundation of mutual respect and caring for each other. We ran a cross-company book club with Kim’s book and had great engagement from the folks who joined. We met weekly for six weeks while we read the book a few chapters at a time and captured notes and insights on a Miro board, with the discussion focused on how we could take the ideas we’d read about that week and implement it in our daily work. Although it’s not easily measurable, we have seen an increase in the number of “radical Candour Feedback Moments” across the team. 

Putting people first at KrakenFlex

A big one for our team is “social debt”. We work in an industry where there are many different solutions to a single problem, and we encourage discussing potential solutions and approaches and working together for a solution. When we were all in the office, occasionally these discussions could become quite heated, with folks gathering around a whiteboard arguing the case for one technical solution over another. This “constructive conflict” is often essential in order to come to the best solution to a problem! However, once the dust has settled, we’d inevitably go for a coffee or beer together to decompress and laugh about the tense technical arguments of the day. Paying down this “social debt” and restoring balance in the relationship after a good debate is far more difficult when technical discussions happen remotely. 

Tackling this remotely requires carving specific time out for things that would “just happen” if we were face-to-face in an office. It can feel awkward to reach out for a quick call just after leaving a big meeting, but those one-to-one debriefs can make all the difference. 

Nothing makes professionals shudder more than “organised fun”, but it has to be done! Here’s a couple of things we found work: leave five mins at the end of a meeting to allow natural chance encounters to take place after a group meeting; online board games were a big success (I’m a big fan of Sushi Go!); and encouraging office visits to our various other Octopus Energy Group sites on the occasions when it makes sense. 

By building trust in managers and creating micro-communities among teams and across functions, we’re able to produce the strong bonds that enable you to disagree, discuss and work collaboratively safely. While this is more applicable to Octopus Energy Group, this approach has been so successful that it has allowed the operations team to scale at breakneck pace. One Team Leader looks after a ten-person team and is their IT, HR and administration support for the most part; once the team starts working successfully and becomes a high achiever, the team splits in two with a new team leader managing the second team and both teams hiring five new starters, combining experience with learning- a sort of cell replication structure. 

Our people are central to everything we do at KrakenFlex – we can’t continue providing excellent service to our customers, or drive forward our mission to transform the energy system without them!

We make this real in a number of ways. 

As we mentioned, we love to take tips from the Octopus culture, and how we bring this to life in KrakenFlex. We hire fantastic professionals and give them the freedom and responsibility to run with ideas and take ownership of their work. A fantastic example of this is our unlimited holiday policy – we expect folks to work hard and trust them to make responsible decisions with their team when they’d like time off. This mostly means making sure that whole project teams aren’t all off at the same time, but if by some force of nature they do need to be, how can we support everyone’s needs for time off? Where we might need to bring in externals or ask another team to step up to support?

Another area we’ve really focused on, particularly since we’ve been remote during the pandemic, is gathering feedback. We use a tool called OfficeVibe to help us do this. Every week it sends five brief questions out to everyone in our team over Slack, and maintains a dashboard showing us how our team is doing across 10 themes, and gives an overall employee engagement score. It also has a feature whereby people can send us feedback (anonymously if they prefer) which has been invaluable in staying close to what people really think and enables us to act quickly on their ideas.

Through collaboration and replication we have become an altogether more organised and scalable business. Already at KrakenFlex we are well on the way to reaching our initial target for the year: management of 100,000 devices and 6,000 MW of energy capacity by 2023. This wouldn’t be possible without having taken a real look about how we were currently doing things and how we wanted to do them moving forward.

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Document Databases Market Outlook 2022 And Growth By Top KeyPlayers – Designer Women

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Posted on mongodb google news. Visit mongodb google news

Document Databases Market study by “Verified Market Reports” provides details about the market dynamics affecting the Document Databases market, Market scope, Market segmentation and overlays shadow upon the leading market players highlighting the favorable competitive landscape and trends prevailing over the years.

This Document Databases market report provides details of recent new developments, trade regulations, import-export analysis, production analysis, value chain optimization, market share, impact of national and localized market players, analyzes opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growth, application and domain niches, product approvals , product launches, geographic expansions, technological innovations in the market. For more information on Data Bridge Market Research Document Databases market, please contact us for analyst briefing,

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Article originally posted on mongodb google news. Visit mongodb google news

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