Month: March 2025

Article originally posted on InfoQ. Visit InfoQ

IBM has introduced its new Granite 3.2 multi-modal and reasoning model. Granite 3.2 features experimental chain-of-thought reasoning capabilities that significantly improve its predecessor’s performance, a new vision language model (VLM) outperforming larger models on several benchmarks, and smaller models for more efficient deployments.

IBM says its Granite 3.2 8B Instruct and Granite 3.2 2B Instruct significantly outperform their 3.1 predecessors thanks to enhanced reasoning capabilities. Instead of providing specialized reasoning models as other companies currently do, IBM chose to include reasoning in their Instruct models as an option that can be toggled on and off depending on the particular task at hand.

One technique IBM is using in Granite 3.2 to build their reasoning capabilities is inference scaling, which is inspired by the idea of letting an LLM generate multiple answers and then pick the best based on some reward model — only, applied to the reasoning process.

In the context of reasoning tasks, this idea of scoring multiple answers to pick the best answer can be applied also to the “chain of thought” that often precedes answer generation. In fact, you don’t need to wait for the entire reasoning to be completed before deciding whether the reasoning was good or not.

IBM’s approach advances the one popularized by DeepSeek, which uses one inference model to measure its own progress by also using a search model to explore the reasoning space. So, the process reward model helps the LLM detect and avoid wrong reasoning turns, while the search algorithm makes the process more flexible.

According to IBM, their inference scaling approach is able to boost performance on the MATH500 and AIME2024 math-reasoning benchmarks and let Granite 3.2 outperform much larger models like GPT-4o-0513 and Claude3.5-Sonnet-1022 for single-pass inference.

Granite 3.2 also includes a VLM particularly aimed at document understanding, named Granite Vision 3.2 2B. According to IBM, this lightweight model rivals larger models on enterprise benchmarks, such as DocVQA and ChartQA, but is not intended to be used as a replacement for text-only Granite models. It was trained using a specific dataset, DocFM, that IBM built on curated enterprise data, including general document images, charts, flowcharts, and diagrams.

Another component of the Granite family is Granite Guardian 3.2, a guardrail model able to detect risks in prompts and responses. Guardian 3.2 provides a similar performance to Guardian 3.1 at greater speed with lower inference costs and memory usage, IBM says. It introduces a new feature, verbalized confidence, to assess the potential risk in a more nuanced way by providing a confidence value.

Guardian 3.2 comes in two variants, Guardian 3.2 5B (down from 8B in Granite 3.1) and Guardian 3.2 3B-A800M, with the added optimization of activating only 800 million parameters out of the total three billion at inference time.

As a final note on Granite 3.2, it is worth mentioning that it brings new timeseries models (TTM) supporting weekly and daily forecasting in addition to the minutely to hourly resolutions already supported by its predecessor.

TTM-R2 models (including the new TTM-R2.1 variants) top all models for point forecasting accuracy as measured by mean absolute scaled error (MASE). TTM-R2 also ranks in the top 5 for probabilistic forecasting, as measured by continuous ranked probability score (CRPS).

In its announcement, IBM does not let go unnoticed that its TTM models are “tiny” in comparison to Google’s TimesFM-2.0 (500M parameters) and Amazon’s Chronos-Bolt-Base (205M parameters), which ranks second and third by MASE.

While IBM’s announcement appeared an impressive feat to some reddit users, others highlighted the fact that their reported performance may look like overfitting a few benchmarks while ignoring others. Still, although it would be naive to think that such small models (8B and 2B parameters) can be preferable to larger models performing much better overall or for complex tasks like coding, it is true that they may be a good fit for more specialized tasks.

Others speculate about the fact that IBM’s offering specifically targets enterprises, where it is important to have legal guarantees in case things go wrong or with potential IP issues with datasets used for training.

All Granite models are licensed under the Apache 2.0 license and available on HuggingFace, watsonx.ai, Ollama, and LM Studio.

Posted on mongodb google news. Visit mongodb google news

Let’s talk about the popular MongoDB, Inc. (NASDAQ:MDB). The company’s shares saw a decent share price growth of 15% on the NASDAQGM over the last few months. Shareholders may appreciate the recent price jump, but the company still has a way to go before reaching its yearly highs again. With many analysts covering the large-cap stock, we may expect any price-sensitive announcements have already been factored into the stock’s share price. But what if there is still an opportunity to buy? Let’s examine MongoDB’s valuation and outlook in more detail to determine if there’s still a bargain opportunity.

Check out our latest analysis for MongoDB

Is MongoDB Still Cheap?

Good news, investors! MongoDB is still a bargain right now. Our valuation model shows that the intrinsic value for the stock is $416.96, which is above what the market is valuing the company at the moment. This indicates a potential opportunity to buy low. Although, there may be another chance to buy again in the future. This is because MongoDB’s beta (a measure of share price volatility) is high, meaning its price movements will be exaggerated relative to the rest of the market. If the market is bearish, the company’s shares will likely fall by more than the rest of the market, providing a prime buying opportunity.

Can we expect growth from MongoDB?

Future outlook is an important aspect when you’re looking at buying a stock, especially if you are an investor looking for growth in your portfolio. Buying a great company with a robust outlook at a cheap price is always a good investment, so let’s also take a look at the company’s future expectations. MongoDB’s earnings over the next few years are expected to increase by 54%, indicating a highly optimistic future ahead. This should lead to more robust cash flows, feeding into a higher share value.

What This Means For You

Are you a shareholder? Since MDB is currently undervalued, it may be a great time to accumulate more of your holdings in the stock. With a positive outlook on the horizon, it seems like this growth has not yet been fully factored into the share price. However, there are also other factors such as capital structure to consider, which could explain the current undervaluation.

Are you a potential investor? If you’ve been keeping an eye on MDB for a while, now might be the time to make a leap. Its prosperous future outlook isn’t fully reflected in the current share price yet, which means it’s not too late to buy MDB. But before you make any investment decisions, consider other factors such as the track record of its management team, in order to make a well-informed buy.

In light of this, if you’d like to do more analysis on the company, it’s vital to be informed of the risks involved. Every company has risks, and we’ve spotted 2 warning signs for MongoDB you should know about.

If you are no longer interested in MongoDB, you can use our free platform to see our list of over 50 other stocks with a high growth potential.

Have feedback on this article? Concerned about the content? Get in touch with us directly. Alternatively, email editorial-team (at) simplywallst.com.

This article by Simply Wall St is general in nature. We provide commentary based on historical data and analyst forecasts only using an unbiased methodology and our articles are not intended to be financial advice. It does not constitute a recommendation to buy or sell any stock, and does not take account of your objectives, or your financial situation. We aim to bring you long-term focused analysis driven by fundamental data. Note that our analysis may not factor in the latest price-sensitive company announcements or qualitative material. Simply Wall St has no position in any stocks mentioned.

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

Posted on mongodb google news. Visit mongodb google news

Sanctuary Advisors LLC reduced its stake in shares of MongoDB, Inc. (NASDAQ:MDB – Free Report) by 57.3% during the fourth quarter, according to its most recent Form 13F filing with the Securities and Exchange Commission. The fund owned 2,456 shares of the company’s stock after selling 3,291 shares during the quarter. Sanctuary Advisors LLC’s holdings in MongoDB were worth $572,000 at the end of the most recent quarter.

Other institutional investors and hedge funds have also recently modified their holdings of the company. B.O.S.S. Retirement Advisors LLC bought a new position in shares of MongoDB in the fourth quarter worth approximately $606,000. Aigen Investment Management LP bought a new position in MongoDB in the third quarter worth about $1,045,000. Geode Capital Management LLC boosted its position in MongoDB by 2.9% during the 3rd quarter. Geode Capital Management LLC now owns 1,230,036 shares of the company’s stock valued at $331,776,000 after acquiring an additional 34,814 shares in the last quarter. B. Metzler seel. Sohn & Co. Holding AG bought a new stake in shares of MongoDB during the third quarter valued at approximately $4,366,000. Finally, Charles Schwab Investment Management Inc. lifted its position in MongoDB by 2.8% during the third quarter. Charles Schwab Investment Management Inc. now owns 278,419 shares of the company’s stock valued at $75,271,000 after buying an additional 7,575 shares during the period. 89.29% of the stock is owned by institutional investors.

MongoDB Trading Up 1.9 %

Shares of NASDAQ MDB opened at $267.43 on Friday. MongoDB, Inc. has a 12-month low of $212.74 and a 12-month high of $449.12. The firm has a market capitalization of $19.92 billion, a price-to-earnings ratio of -97.60 and a beta of 1.28. The firm has a 50 day moving average of $262.73 and a 200 day moving average of $274.82.

MongoDB (NASDAQ:MDB – Get Free Report) last posted its quarterly earnings data on Monday, December 9th. The company reported $1.16 EPS for the quarter, topping the consensus estimate of $0.68 by $0.48. The firm had revenue of $529.40 million during the quarter, compared to analyst estimates of $497.39 million. MongoDB had a negative return on equity of 12.22% and a negative net margin of 10.46%. MongoDB’s revenue was up 22.3% on a year-over-year basis. During the same period in the prior year, the business posted $0.96 EPS. Sell-side analysts predict that MongoDB, Inc. will post -1.78 EPS for the current year.

Insider Transactions at MongoDB

In other news, insider Cedric Pech sold 287 shares of the stock in a transaction on Thursday, January 2nd. The shares were sold at an average price of $234.09, for a total value of $67,183.83. Following the completion of the sale, the insider now directly owns 24,390 shares of the company’s stock, valued at $5,709,455.10. This represents a 1.16 % decrease in their ownership of the stock. The sale was disclosed in a document filed with the SEC, which is available at this hyperlink. Also, Director Dwight A. Merriman sold 3,000 shares of MongoDB stock in a transaction on Monday, December 2nd. The shares were sold at an average price of $323.00, for a total transaction of $969,000.00. Following the transaction, the director now owns 1,121,006 shares in the company, valued at approximately $362,084,938. This trade represents a 0.27 % decrease in their position. The disclosure for this sale can be found here. Insiders have sold 50,314 shares of company stock valued at $13,494,863 over the last quarter. 3.60% of the stock is currently owned by company insiders.

Analyst Ratings Changes

Several equities research analysts recently commented on MDB shares. Rosenblatt Securities began coverage on shares of MongoDB in a research note on Tuesday, December 17th. They set a “buy” rating and a $350.00 price objective on the stock. Robert W. Baird upped their price target on MongoDB from $380.00 to $390.00 and gave the stock an “outperform” rating in a research note on Tuesday, December 10th. Stifel Nicolaus raised their price objective on MongoDB from $325.00 to $360.00 and gave the company a “buy” rating in a research report on Monday, December 9th. Oppenheimer boosted their target price on MongoDB from $350.00 to $400.00 and gave the stock an “outperform” rating in a report on Tuesday, December 10th. Finally, Royal Bank of Canada raised their price target on MongoDB from $350.00 to $400.00 and gave the company an “outperform” rating in a report on Tuesday, December 10th. Two research analysts have rated the stock with a sell rating, four have given a hold rating, twenty-three have given a buy rating and two have given a strong buy rating to the stock. According to MarketBeat.com, MongoDB has a consensus rating of “Moderate Buy” and a consensus price target of $361.00.

Read Our Latest Analysis on MongoDB

MongoDB Profile

(Free Report)

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.

Featured Articles

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:MDB – Free Report).

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 contact@marketbeat.com.

Before you consider MongoDB, you’ll want to hear this.

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While MongoDB currently has a Moderate Buy rating among analysts, top-rated analysts believe these five stocks are better buys.

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

Posted on mongodb google news. Visit mongodb google news

Sanctuary Advisors LLC reduced its stake in shares of MongoDB, Inc. (NASDAQ:MDB – Free Report) by 57.3% during the fourth quarter, according to its most recent Form 13F filing with the Securities and Exchange Commission. The fund owned 2,456 shares of the company’s stock after selling 3,291 shares during the quarter. Sanctuary Advisors LLC’s holdings in MongoDB were worth $572,000 at the end of the most recent quarter.

Other institutional investors and hedge funds have also recently modified their holdings of the company. B.O.S.S. Retirement Advisors LLC bought a new position in shares of MongoDB in the fourth quarter worth approximately $606,000. Aigen Investment Management LP bought a new position in MongoDB in the third quarter worth about $1,045,000. Geode Capital Management LLC boosted its position in MongoDB by 2.9% during the 3rd quarter. Geode Capital Management LLC now owns 1,230,036 shares of the company’s stock valued at $331,776,000 after acquiring an additional 34,814 shares in the last quarter. B. Metzler seel. Sohn & Co. Holding AG bought a new stake in shares of MongoDB during the third quarter valued at approximately $4,366,000. Finally, Charles Schwab Investment Management Inc. lifted its position in MongoDB by 2.8% during the third quarter. Charles Schwab Investment Management Inc. now owns 278,419 shares of the company’s stock valued at $75,271,000 after buying an additional 7,575 shares during the period. 89.29% of the stock is owned by institutional investors.

MongoDB Trading Up 1.9 %

Shares of NASDAQ MDB opened at $267.43 on Friday. MongoDB, Inc. has a 12-month low of $212.74 and a 12-month high of $449.12. The firm has a market capitalization of $19.92 billion, a price-to-earnings ratio of -97.60 and a beta of 1.28. The firm has a 50 day moving average of $262.73 and a 200 day moving average of $274.82.

MongoDB (NASDAQ:MDB – Get Free Report) last posted its quarterly earnings data on Monday, December 9th. The company reported $1.16 EPS for the quarter, topping the consensus estimate of $0.68 by $0.48. The firm had revenue of $529.40 million during the quarter, compared to analyst estimates of $497.39 million. MongoDB had a negative return on equity of 12.22% and a negative net margin of 10.46%. MongoDB’s revenue was up 22.3% on a year-over-year basis. During the same period in the prior year, the business posted $0.96 EPS. Sell-side analysts predict that MongoDB, Inc. will post -1.78 EPS for the current year.

Insider Transactions at MongoDB

In other news, insider Cedric Pech sold 287 shares of the stock in a transaction on Thursday, January 2nd. The shares were sold at an average price of $234.09, for a total value of $67,183.83. Following the completion of the sale, the insider now directly owns 24,390 shares of the company’s stock, valued at $5,709,455.10. This represents a 1.16 % decrease in their ownership of the stock. The sale was disclosed in a document filed with the SEC, which is available at this hyperlink. Also, Director Dwight A. Merriman sold 3,000 shares of MongoDB stock in a transaction on Monday, December 2nd. The shares were sold at an average price of $323.00, for a total transaction of $969,000.00. Following the transaction, the director now owns 1,121,006 shares in the company, valued at approximately $362,084,938. This trade represents a 0.27 % decrease in their position. The disclosure for this sale can be found here. Insiders have sold 50,314 shares of company stock valued at $13,494,863 over the last quarter. 3.60% of the stock is currently owned by company insiders.

Analyst Ratings Changes

Several equities research analysts recently commented on MDB shares. Rosenblatt Securities began coverage on shares of MongoDB in a research note on Tuesday, December 17th. They set a “buy” rating and a $350.00 price objective on the stock. Robert W. Baird upped their price target on MongoDB from $380.00 to $390.00 and gave the stock an “outperform” rating in a research note on Tuesday, December 10th. Stifel Nicolaus raised their price objective on MongoDB from $325.00 to $360.00 and gave the company a “buy” rating in a research report on Monday, December 9th. Oppenheimer boosted their target price on MongoDB from $350.00 to $400.00 and gave the stock an “outperform” rating in a report on Tuesday, December 10th. Finally, Royal Bank of Canada raised their price target on MongoDB from $350.00 to $400.00 and gave the company an “outperform” rating in a report on Tuesday, December 10th. Two research analysts have rated the stock with a sell rating, four have given a hold rating, twenty-three have given a buy rating and two have given a strong buy rating to the stock. According to MarketBeat.com, MongoDB has a consensus rating of “Moderate Buy” and a consensus price target of $361.00.

Read Our Latest Analysis on MongoDB

MongoDB Profile

(Free Report)

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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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:MDB – Free Report).

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

Posted on mongodb google news. Visit mongodb google news

MongoDB announced it has acquired Voyage AI (deal valued at $220 million, according to Bloomberg), a pioneer in embedding and reranking models that power next-generation AI applications. Integrating Voyage AI’s technology with MongoDB enables organizations to easily build AI-based applications by offering highly accurate and relevant information retrieval deeply integrated with operational data.

AI-based applications can address a broad range of complex use cases that traditional software cannot. Since AI models are probabilistic, they can hallucinate (when a model generates false or misleading information). Inaccurate or low-quality results can create serious risks, especially in cases where the accuracy of information is critical, like a hospital performing cancer screenings, a financial firm making autonomous investment decisions, or law firms offering legal advice.

The risk of hallucinations has consequently limited the use of AI-based applications for mission-critical use cases. These hallucinations typically happen when the AI model lacks sufficient understanding or context of data within an enterprise.

To tackle this challenge, companies need high-quality retrieval—a critical AI capability that ensures the most relevant information is pulled from their data with precision. And Voyage AI’s advanced embedding and reranking models enable applications to extract meaning from highly specialized and domain-specific text and unstructured data—ranging from legal and financial documents to images, code, and enterprise knowledge bases.

The company’s models are trusted by leading AI innovators like Anthropic, LangChain, Harvey, and Replit. Notably, Voyage AI’s embedding models are the highest-rated zero-shot models in the Hugging Face community. And Voyage AI is a leader in AI-based search and retrieval, backed by a team of world-class AI researchers with roots at Stanford, MIT, UC Berkeley, and Princeton. Their expertise in embedding models and retrieval architectures will enhance MongoDB’s AI capabilities to solve the most challenging problems with building and scaling AI applications.

KEY QUOTES:

“AI has the promise to transform every business, but adoption is held back by the risk of hallucinations. By bringing the power of advanced AI-powered search and retrieval to our highly flexible database, the combination of MongoDB and Voyage AI enables enterprises to easily build trustworthy AI-powered applications that drive meaningful business impact. With this acquisition, MongoDB is redefining what’s required of the database for the AI era.”

• Dev Ittycheria, CEO of MongoDB

“For AI applications to reach their full potential, businesses must trust their outputs, so retrieval needs to be deeply integrated with operational data to be accurate and relevant. Joining MongoDB enables us to bring our cutting-edge AI retrieval technology to a broader audience and integrate it seamlessly into mission-critical applications. By combining our expertise in embeddings and reranking with MongoDB’s best-in-class database, we can help organizations build AI applications that deliver more accurate and reliable results at scale, empowering them to confidently apply AI to high-stakes use cases.”

• Tengyu Ma, Founder of Voyage AI

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

Posted on mongodb google news. Visit mongodb google news

MongoDB, Inc. (NASDAQ:MDB – Get Free Report) CEO Dev Ittycheria sold 8,335 shares of the stock in a transaction on Wednesday, February 26th. The shares were sold at an average price of $267.48, for a total value of $2,229,445.80. Following the completion of the sale, the chief executive officer now owns 217,294 shares in the company, valued at approximately $58,121,799.12. The trade was a 3.69 % decrease in their ownership of the stock. The sale was disclosed in a filing with the SEC, which is available at the SEC website.

Dev Ittycheria also recently made the following trade(s):

• On Tuesday, January 28th, Dev Ittycheria sold 8,335 shares of MongoDB stock. The shares were sold at an average price of $279.99, for a total value of $2,333,716.65.
• On Friday, January 17th, Dev Ittycheria sold 8,335 shares of MongoDB stock. The stock was sold at an average price of $254.86, for a total transaction of $2,124,258.10.
• On Thursday, January 2nd, Dev Ittycheria sold 2,581 shares of MongoDB stock. The shares were sold at an average price of $234.09, for a total transaction of $604,186.29.

MongoDB Price Performance

NASDAQ MDB traded up $5.02 on Friday, hitting $267.43. 1,339,166 shares of the company’s stock were exchanged, compared to its average volume of 1,486,038. The firm’s 50-day moving average price is $262.30 and its two-hundred day moving average price is $274.58. The firm has a market cap of $19.92 billion, a price-to-earnings ratio of -97.60 and a beta of 1.28. MongoDB, Inc. has a fifty-two week low of $212.74 and a fifty-two week high of $449.12.

MongoDB (NASDAQ:MDB – Get Free Report) last released its earnings results on Monday, December 9th. The company reported $1.16 EPS for the quarter, beating analysts’ consensus estimates of $0.68 by $0.48. The company had revenue of $529.40 million during the quarter, compared to the consensus estimate of $497.39 million. MongoDB had a negative return on equity of 12.22% and a negative net margin of 10.46%. MongoDB’s quarterly revenue was up 22.3% compared to the same quarter last year. During the same quarter last year, the company earned $0.96 earnings per share. On average, research analysts predict that MongoDB, Inc. will post -1.78 earnings per share for the current fiscal year.

Analysts Set New Price Targets

MDB has been the subject of a number of analyst reports. Guggenheim upgraded shares of MongoDB from a “neutral” rating to a “buy” rating and set a $300.00 target price for the company in a research note on Monday, January 6th. Truist Financial reaffirmed a “buy” rating and set a $400.00 price objective (up from $320.00) on shares of MongoDB in a research report on Tuesday, December 10th. Needham & Company LLC boosted their target price on MongoDB from $335.00 to $415.00 and gave the stock a “buy” rating in a research note on Tuesday, December 10th. China Renaissance started coverage on shares of MongoDB in a research note on Tuesday, January 21st. They issued a “buy” rating and a $351.00 price target on the stock. Finally, DA Davidson boosted their price objective on shares of MongoDB from $340.00 to $405.00 and gave the stock a “buy” rating in a research report on Tuesday, December 10th. Two analysts have rated the stock with a sell rating, four have issued a hold rating, twenty-three have given a buy rating and two have assigned a strong buy rating to the company’s stock. According to data from MarketBeat, MongoDB presently has a consensus rating of “Moderate Buy” and a consensus price target of $361.00.

Check Out Our Latest Report on MongoDB

Institutional Investors Weigh In On MongoDB

A number of hedge funds and other institutional investors have recently modified their holdings of the stock. International Assets Investment Management LLC raised its holdings in MongoDB by 23,026.5% during the third quarter. International Assets Investment Management LLC now owns 38,390 shares of the company’s stock worth $10,379,000 after purchasing an additional 38,224 shares during the last quarter. Assenagon Asset Management S.A. boosted its position in shares of MongoDB by 18.4% in the 3rd quarter. Assenagon Asset Management S.A. now owns 2,661 shares of the company’s stock worth $719,000 after buying an additional 414 shares in the last quarter. Nisa Investment Advisors LLC grew its stake in MongoDB by 3.8% in the 3rd quarter. Nisa Investment Advisors LLC now owns 1,090 shares of the company’s stock valued at $295,000 after acquiring an additional 40 shares during the last quarter. abrdn plc increased its holdings in MongoDB by 55.6% during the 3rd quarter. abrdn plc now owns 41,875 shares of the company’s stock valued at $11,144,000 after acquiring an additional 14,966 shares in the last quarter. Finally, China Universal Asset Management Co. Ltd. lifted its holdings in shares of MongoDB by 112.5% in the third quarter. China Universal Asset Management Co. Ltd. now owns 937 shares of the company’s stock valued at $253,000 after purchasing an additional 496 shares in the last quarter. 89.29% of the stock is currently owned by institutional investors and hedge funds.

MongoDB Company Profile

(Get Free Report)

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.

Recommended Stories

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 contact@marketbeat.com.

Before you consider MongoDB, you’ll want to hear this.

MarketBeat keeps track of Wall Street’s top-rated and best performing research analysts and the stocks they recommend to their clients on a daily basis. MarketBeat has identified the five stocks that top analysts are quietly whispering to their clients to buy now before the broader market catches on… and MongoDB wasn’t on the list.

While MongoDB currently has a Moderate Buy rating among analysts, top-rated analysts believe these five stocks are better buys.

View The Five Stocks Here

As the AI market heats up, investors who have a vision for artificial intelligence have the potential to see real returns. Learn about the industry as a whole as well as seven companies that are getting work done with the power of AI.

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

Posted on mongodb google news. Visit mongodb google news

There was an update for PEP 771 making more realistic claims about backward compat and avoiding a terrible key naming choice, which means it is ready for you to read about.

And hope for.

This proposal suggests to add a new feature to Python packaging: default extra dependencies.

Now, extra dependencies have existed for a long time.

For example, ipython defines 6 “extras dependencies” sub sections: “black”, “doc”, “test”, “test_extra”, “matplotlib” and “all”.

This means you can do pip install ipython to get ipython, but you could also do pip install ipython[doc, test] to install it and all the documentation and testing packages it requires to develop it.

Extras are therefor a way to describe a group of dependencies that you don’t think most of your users want, but that you offer as an option to opt in.

The problem comes when the user should install at least one for your package to work.

The typical example is fastapi, which tells you in the doc to pip install fastapi[standard] because that includes templating, file upload, email validation, an http client and the wsgi server since this is what most users want.

But it doesn’t want to include all that for the base install, because fastapi is also used itself as a dependency of other libs that don’t want all that stuff.

Of course, some users will inevitably not read the doc, pip install fastapi without the standard packages because that makes sense intuitively, and get very confused.

This is where PEP 771 comes in, letting package authors declaring:

[project] 
default-optional-dependency-keys = 
    "common_default_extra_deps"
] 
[project.optional-dependencies] 
minimal = [] 
common_default_extra_deps = [ "package1", "package2" ]

So that people can do pip install your_package and get the same result as pip install your_package[common_default_extra_deps]. The rare users needing the minimal install would do pip install your_package[minimal] (which is empty) and be happy.

There is one drawback to this approach pip freeze > requirements.txt and pip install -r requirements.txt would not perfectly mirror each other anymore unless you use --no-deps. Most people don’t know this flag exists.

Not sure the breaking change is worth it for pip users.

But you know who is not affected? Users of systems with proper lock files. Like uv’s.

PEP 772 proposes a Python Packaging Council with broad authority over packaging standards, tools, and implementations.

Historically, the Python core dev stayed far away from packaging issues. I interviewed Brett Canon recently and asked why. You’ll get his quite pragmatic response as soon as I’m done with the editing.

The consequence of this is that the Python packaging ecosystem always felt disconnected from the life of the Python project itself.

Now you may think the Python Packaging Authority or the Packaging-WG were what the Python Packaging Council proposed to be, but this never happened, although they did contribute a lot to the community.

The Packaging Council would be an elected team with a focus on using their power to establish standard processes, but attempt to exercise authority in the same light manner as the Steering Council is doing for the CPython project. So coordination, global vision plus last appeal for decisions that are stuck in the mud.

I like the few but clear entries they have as mandate and responsibilities, and appreciate they want to prevent conflicts of interest with “No more than two Packaging Council members should be employed by or significantly affiliated with the same entity”, which includes PSF employees.

I was pleasantly surprised by how well the CPython governance model turned out to work, and I’m looking forward to seeing how this new council is going to play out if it’s formed.

VSCode is now by far the most popular editor on the planet. I see it in every company I’m hired by, and in most videos or tutorial out there.

Unsurprisingly, it is the de facto choice for a bazillion Python devs, but using the debugger with it was always a hassle because as soon as you had something more complicated than a simple script, you had to create some configuration file to make it work.

This is why I mostly use and teach PDB (there is nice article on that): it works fine anywhere.

Well, Microsoft has solved the problem for good in the latest release by providing the debugpy command.

Now if you want to debug something in VSCode, open the terminal in the IDE, and prefix your Python command with debugpy and voilà, you are debugging.

debugpy is automatically available in VSCode if you installed the Python extensions but it is an open source tool you can use elsewhere.

This is possible thanks the DAP (Debug Adapter Protocol), the new debugging counterpart to the LSP (Language Server Protocol) that let them abstract language specific debugging peculiarities.

This means this improved debugging experience can be made available in many other editors (e.g: here is a Vim adaptation of it) and for many languages. A great news for everybody, especially with PEP 768 on the starting block.

An interesting thing popped up in my RSS feed this month, a tutorial from the MongoDB team that demonstrate how to connect their database with Django, not with the manual use of pymongo, but using their new native backend.

By native I mean you define the connection in settings.py using:

DATABASES = {
    "default": ...,
}

and use (I’m copying their example, I haven’t tried it yet) regular Django models:

from django.db import models
from django.conf import settings
from django_mongodb_backend.fields import EmbeddedModelField, ArrayField
from django_mongodb_backend.models import EmbeddedModel

class Award(EmbeddedModel):
    wins = models.IntegerField(default=0)
    nominations = models.IntegerField(default=0)
    text = models.CharField(max_length=100)

class Movie(models.Model):
    title = models.CharField(max_length=200)
    plot = models.TextField(blank=True)
    runtime = models.IntegerField(default=0)
    released = models.DateTimeField("release date", null=True, blank=True)
    awards = EmbeddedModelField(Award, null=True, blank=True)
    genres = ArrayField(models.CharField(max_length=100), null=True, blank=True)

    class Meta:
        db_table = "movies"
        managed = False

    def __str__(self):
        return self.title

class Viewer(models.Model):
    name = models.CharField(max_length=100)
    email = models.CharField(max_length=200)

    class Meta:
        db_table = "users"
        managed = False

    def __str__(self):
        return self.name

The queries are made with the usual Django ORM API, it works with forms and migrations, but above all, the admin!

And although you won’t get neither the whole list of Mongo nor Django features that way by the nature of things (“Django’s transaction management APIs are not supported.“), this is pretty significant if you use this product.

Of course, it’s not stable yet.

You don’t really need editor support to use uv and therefor many PyCharm users have been enjoying the tool from the command line while pointing their editor to the venv directly.

But it’s always nice to have QoL features from your favorite IDE available for your new workflow, and this is now the case with PyCharm 2024.3.2.

Pretty straightforward, when you create a virtual env or import a project, you can choose uv among the traditional virtualenv, poetry, conda, etc.:

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

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Bank of New York Mellon Corp cut its position in shares of MongoDB, Inc. (NASDAQ:MDB – Free Report) by 26.0% during the 4th quarter, according to its most recent 13F filing with the Securities and Exchange Commission. The fund owned 684,109 shares of the company’s stock after selling 240,312 shares during the quarter. Bank of New York Mellon Corp owned approximately 0.92% of MongoDB worth $159,267,000 as of its most recent SEC filing.

A number of other large investors also recently modified their holdings of MDB. Jennison Associates LLC raised its holdings in shares of MongoDB by 23.6% during the 3rd quarter. Jennison Associates LLC now owns 3,102,024 shares of the company’s stock valued at $838,632,000 after buying an additional 592,038 shares in the last quarter. Assenagon Asset Management S.A. raised its holdings in shares of MongoDB by 11,057.0% during the 4th quarter. Assenagon Asset Management S.A. now owns 296,889 shares of the company’s stock valued at $69,119,000 after buying an additional 294,228 shares in the last quarter. Avala Global LP purchased a new position in shares of MongoDB during the 3rd quarter valued at about $47,960,000. Eagle Asset Management Inc. purchased a new position in shares of MongoDB during the 3rd quarter valued at about $44,380,000. Finally, Healthcare of Ontario Pension Plan Trust Fund purchased a new position in shares of MongoDB during the 3rd quarter valued at about $25,636,000. 89.29% of the stock is owned by hedge funds and other institutional investors.

Analysts Set New Price Targets

A number of equities analysts recently weighed in on the company. Loop Capital raised their price objective on MongoDB from $315.00 to $400.00 and gave the company a “buy” rating in a report on Monday, December 2nd. Royal Bank of Canada lifted their price target on MongoDB from $350.00 to $400.00 and gave the stock an “outperform” rating in a research note on Tuesday, December 10th. Barclays decreased their price target on MongoDB from $400.00 to $330.00 and set an “overweight” rating on the stock in a research note on Friday, January 10th. Macquarie assumed coverage on MongoDB in a research note on Thursday, December 12th. They issued a “neutral” rating and a $300.00 price target on the stock. Finally, Monness Crespi & Hardt cut MongoDB from a “neutral” rating to a “sell” rating and set a $220.00 price target on the stock. in a research note on Monday, December 16th. Two analysts have rated the stock with a sell rating, four have given a hold rating, twenty-three have assigned a buy rating and two have issued a strong buy rating to the company. According to MarketBeat, the stock presently has a consensus rating of “Moderate Buy” and a consensus price target of $361.00.

View Our Latest Stock Analysis on MDB

MongoDB Stock Up 1.9 %

NASDAQ MDB opened at $267.43 on Friday. MongoDB, Inc. has a twelve month low of $212.74 and a twelve month high of $449.12. The firm has a market capitalization of $19.92 billion, a PE ratio of -97.60 and a beta of 1.28. The stock’s 50 day moving average is $262.30 and its 200 day moving average is $274.58.

MongoDB (NASDAQ:MDB – Get Free Report) last released its quarterly earnings results on Monday, December 9th. The company reported $1.16 earnings per share for the quarter, beating the consensus estimate of $0.68 by $0.48. MongoDB had a negative return on equity of 12.22% and a negative net margin of 10.46%. The company had revenue of $529.40 million for the quarter, compared to analyst estimates of $497.39 million. During the same period in the previous year, the company posted $0.96 earnings per share. The firm’s revenue was up 22.3% on a year-over-year basis. On average, research analysts anticipate that MongoDB, Inc. will post -1.78 earnings per share for the current year.

Insiders Place Their Bets

In other MongoDB news, insider Cedric Pech sold 287 shares of the business’s stock in a transaction on Thursday, January 2nd. The stock was sold at an average price of $234.09, for a total value of $67,183.83. Following the sale, the insider now directly owns 24,390 shares of the company’s stock, valued at approximately $5,709,455.10. The trade was a 1.16 % decrease in their ownership of the stock. The transaction was disclosed in a legal filing with the SEC, which can be accessed through this link. Also, CEO Dev Ittycheria sold 8,335 shares of the business’s stock in a transaction on Wednesday, February 26th. The stock was sold at an average price of $267.48, for a total value of $2,229,445.80. Following the completion of the sale, the chief executive officer now directly owns 217,294 shares in the company, valued at $58,121,799.12. This trade represents a 3.69 % decrease in their ownership of the stock. The disclosure for this sale can be found here. Over the last three months, insiders have sold 50,314 shares of company stock valued at $13,494,863. 3.60% of the stock is currently owned by corporate insiders.

MongoDB Company Profile

(Free Report)

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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GitLab has introduced a new feature that addresses two significant challenges in vulnerability management: code volatility and double reporting. Code volatility refers to the frequent changes in codebases that can reintroduce previously resolved vulnerabilities, while double reporting occurs when multiple security tools identify the same vulnerability. This new feature integrates advanced tracking mechanisms to tackle these issues, enhancing the accuracy and efficiency of vulnerability detection and management.

Julian Thome, Staff Backend Engineer at GitLab summarised the announcement in a blog post. Highlighting the challenges of tracking vulnerabilities in dynamic codebases and heterogeneous environments, Thome mentioned that this new feature is particularly useful for teams practicing DevSecOps.

In modern software development, DevSecOps integrates security into the development lifecycle, enabling teams to deliver features quickly while maintaining security standards. However, the dynamic nature of CI/CD pipelines and the use of multiple Static Application Security Testing (SAST) tools create two significant challenges. The first is code volatility, where frequent changes in codebases can reintroduce previously resolved vulnerabilities. The second is double reporting, where multiple tools report the same vulnerability, leading to duplication and inefficiency. These challenges make vulnerability management difficult for developers and security teams to identify unique issues and prioritize fixes effectively.

GitLab’s Advanced Vulnerability Tracking is designed to address these challenges by improving the accuracy and efficiency of vulnerability identification. The feature uses contextual information from generated syntax trees to scope vulnerabilities more precisely.

Traditional methods often rely on pairs to identify vulnerabilities. The new feature utilizes a method called “location fingerprinting,” which generates identifiers for vulnerabilities that are less fragile across code changes compared to traditional tracking methods.

A study conducted by GitLab demonstrated that its Advanced Vulnerability Tracking method is 30% more effective than traditional line-based tracking. The study also found that the benefits of this approach increase over time.

We saw an interesting conversation on Reddit about Centralized Vulnerability Management tools. The original poster invited suggestions for centralised vulnerability management tools from the tech community. The responses on the post included tools such as Qualsys, Tenable, Vanta, Plextrac, etc.

About narrowing down the vulnerability management tool, one of the Reddit users, Beneficial_West_7821, gave an insightful response,

…I highly recommend running a technical PoV and making sure you pay attention to things like compatibility in practise with your security tool landscape, as well as aggregation, de-duplication, configurability, dashboarding, reporting etc.

There is a very wide range of capability and maturity in the market, and performance can vary significantly (for example in ingestion and processing, as well as in responsiveness of the UI).

The findings from the study related to Advanced Vulnerability Tracking method will be presented at the 47th International Conference on Software Engineering (ICSE) 2025 in the Software Engineering in Practice Track. The preprint of the study is named “A Scalable, Effective, and Simple Vulnerability Tracking Approach for Heterogeneous SAST Setups Based on Scope+Offset,” authored by Lucas Charles, Jason Leasure, and Hua Yan.