Month: June 2024

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Wealth Enhancement Advisory Services LLC cut its holdings in shares of MongoDB, Inc. (NASDAQ:MDB – Free Report) by 4.2% in the first quarter, according to its most recent filing with the Securities and Exchange Commission. The firm owned 26,350 shares of the company’s stock after selling 1,143 shares during the quarter. Wealth Enhancement Advisory Services LLC’s holdings in MongoDB were worth $9,450,000 at the end of the most recent quarter.

Several other institutional investors and hedge funds also recently bought and sold shares of MDB. Quadrant Capital Group LLC boosted its holdings in shares of MongoDB by 5.6% during the fourth quarter. Quadrant Capital Group LLC now owns 412 shares of the company’s stock worth $168,000 after purchasing an additional 22 shares during the period. EverSource Wealth Advisors LLC boosted its stake in shares of MongoDB by 12.4% during the 4th quarter. EverSource Wealth Advisors LLC now owns 226 shares of the company’s stock valued at $92,000 after buying an additional 25 shares during the period. Insigneo Advisory Services LLC grew its holdings in shares of MongoDB by 2.9% during the 3rd quarter. Insigneo Advisory Services LLC now owns 1,070 shares of the company’s stock valued at $370,000 after acquiring an additional 30 shares in the last quarter. Yousif Capital Management LLC increased its stake in shares of MongoDB by 3.9% in the fourth quarter. Yousif Capital Management LLC now owns 792 shares of the company’s stock worth $324,000 after acquiring an additional 30 shares during the last quarter. Finally, Valley National Advisers Inc. raised its holdings in shares of MongoDB by 5.9% during the fourth quarter. Valley National Advisers Inc. now owns 597 shares of the company’s stock worth $244,000 after acquiring an additional 33 shares in the last quarter. Hedge funds and other institutional investors own 89.29% of the company’s stock.

Insider Buying and Selling

In other MongoDB news, Director Dwight A. Merriman sold 1,000 shares of MongoDB stock in a transaction that occurred on Thursday, June 27th. The stock was sold at an average price of $245.00, for a total transaction of $245,000.00. Following the sale, the director now directly owns 1,146,003 shares of the company’s stock, valued at $280,770,735. The transaction was disclosed in a document filed with the Securities & Exchange Commission, which can be accessed through the SEC website. In related news, CFO Michael Lawrence Gordon sold 9,316 shares of the stock in a transaction dated Tuesday, April 2nd. The shares were sold at an average price of $348.12, for a total transaction of $3,243,085.92. Following the completion of the sale, the chief financial officer now owns 83,511 shares in the company, valued at approximately $29,071,849.32. The sale was disclosed in a filing with the Securities & Exchange Commission, which is available at the SEC website. Also, Director Dwight A. Merriman sold 1,000 shares of MongoDB stock in a transaction dated Thursday, June 27th. The shares were sold at an average price of $245.00, for a total transaction of $245,000.00. Following the transaction, the director now directly owns 1,146,003 shares of the company’s stock, valued at $280,770,735. The disclosure for this sale can be found here. Insiders sold 60,976 shares of company stock valued at $19,770,973 over the last quarter. Corporate insiders own 3.60% of the company’s stock.

MongoDB Price Performance

Shares of NASDAQ:MDB opened at $249.96 on Friday. The firm has a market capitalization of $18.33 billion, a PE ratio of -88.95 and a beta of 1.13. The company has a current ratio of 4.93, a quick ratio of 4.93 and a debt-to-equity ratio of 0.90. MongoDB, Inc. has a 1-year low of $214.74 and a 1-year high of $509.62. The business’s 50 day moving average is $304.59 and its 200-day moving average is $366.25.

MongoDB (NASDAQ:MDB – Get Free Report) last posted its quarterly earnings results on Thursday, May 30th. The company reported ($0.80) earnings per share for the quarter, hitting analysts’ consensus estimates of ($0.80). MongoDB had a negative net margin of 11.50% and a negative return on equity of 14.88%. The firm had revenue of $450.56 million for the quarter, compared to the consensus estimate of $438.44 million. Sell-side analysts predict that MongoDB, Inc. will post -2.67 earnings per share for the current year.

Analysts Set New Price Targets

Several research analysts have weighed in on MDB shares. Guggenheim raised MongoDB from a “sell” rating to a “neutral” rating in a research report on Monday, June 3rd. JMP Securities dropped their price objective on MongoDB from $440.00 to $380.00 and set a “market outperform” rating on the stock in a report on Friday, May 31st. Redburn Atlantic reiterated a “sell” rating and issued a $295.00 target price (down from $410.00) on shares of MongoDB in a research note on Tuesday, March 19th. Robert W. Baird dropped their price target on shares of MongoDB from $450.00 to $305.00 and set an “outperform” rating on the stock in a research note on Friday, May 31st. Finally, Wells Fargo & Company reduced their price objective on shares of MongoDB from $450.00 to $300.00 and set an “overweight” rating for the company in a research note on Friday, May 31st. One research analyst has rated the stock with a sell rating, five have issued a hold rating, nineteen have assigned a buy rating and one has issued a strong buy rating to the stock. According to data from MarketBeat, the stock currently has an average rating of “Moderate Buy” and an average target price of $361.30.

Read Our Latest Stock Analysis on MDB

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.

Further Reading

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Posted on mongodb google news. Visit mongodb google news

The worldwide data management software market is massive (According to IDC, the worldwide database software market, which it refers to as the database management systems software market, was forecasted to be approximately $82 billion in 2023 growing to approximately $137 billion in 2027. This represents a 14% compound annual growth rate). At MongoDB we are transforming industries and empowering developers to build amazing apps that people use every day. We are the leading developer data platform and the first database provider to IPO in over 20 years. Join our team and be at the forefront of innovation and creativity.

We’re looking for a hardworking, driven individual with superb energy, passion, and initiative for new business acquisitions. The Senior Enterprise Account Executive role focuses exclusively on formulating and executing a sales strategy within an assigned territory, resulting in revenue growth and new customer acquisition.

MongoDB is always changing and innovating — not only in our technology but also in our sales go-to-market strategy. Our sales leadership is committed to building the best salesforce in technology. This means, inspiring and enabling success for everyone on the team. We not only equip you to be successful and close deals, but we want your feedback and input on how we can continue to “Think Big and Go Far.” As a crucial part of the Sales team at MongoDB, you will have access to a lucrative market and learn how to sell from some of the most successful sales leaders in the software industry.

Responsibilities

• Proactively prospect, identify, qualify and develop a sales pipeline
• Close business to meet and exceed monthly, quarterly, and annual bookings objectives
• Build strong and effective relationships, resulting in growth opportunities
• Participate in our sales enablement training, including our comprehensive Sales Bootcamp, sophisticated sales training, and leadership and development programs
• Work closely with the Professional Services team to achieve customer satisfaction

Requirements

• BA/BS required
• 8+ years of field experience in quota-carrying experience in a fast-paced and competitive market with a focus on growth business (Upsell & Cross-sell)
• 10+ years of SaaS sales experience
• Demonstrated ability to articulate the business value of complex enterprise technology
• A track record of overachievement and hitting sales targets
• Skilled in building business champions and running a complex sales process
• Previous Sales Methodology training (e.g. MEDDIC, SPIN, Challenger Sales)
• Familiarity with databases, DevOps, and open-source technology is a plus
• Driven and competitive: Possess a strong desire to be successful
• Skilled in managing time and resources; sound approach to qualifying opportunities
• Possess aptitude to learn quickly and establish credibility. High EQ and self-aware
• Passionate about growing your career in the largest market in software (database) and developing and maintaining an in-depth understanding of MongoDB products

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

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) Director Dwight A. Merriman sold 1,000 shares of MongoDB stock in a transaction on Thursday, June 27th. The stock was sold at an average price of $245.00, for a total transaction of $245,000.00. Following the sale, the director now directly owns 1,146,003 shares of the company’s stock, valued at approximately $280,770,735. The transaction was disclosed in a legal filing with the SEC, which is accessible through the SEC website.

MongoDB Stock Performance

NASDAQ MDB opened at $249.96 on Friday. The company has a current ratio of 4.93, a quick ratio of 4.93 and a debt-to-equity ratio of 0.90. The firm has a market capitalization of $18.33 billion, a price-to-earnings ratio of -88.95 and a beta of 1.13. The firm’s 50 day simple moving average is $304.59 and its 200 day simple moving average is $366.44. MongoDB, Inc. has a 1 year low of $214.74 and a 1 year high of $509.62.

MongoDB (NASDAQ:MDB – Get Free Report) last issued its quarterly earnings data on Thursday, May 30th. The company reported ($0.80) EPS for the quarter, meeting the consensus estimate of ($0.80). The business had revenue of $450.56 million during the quarter, compared to the consensus estimate of $438.44 million. MongoDB had a negative net margin of 11.50% and a negative return on equity of 14.88%. As a group, research analysts expect that MongoDB, Inc. will post -2.67 earnings per share for the current fiscal year.

Wall Street Analyst Weigh In

A number of analysts have commented on MDB shares. Piper Sandler lowered their target price on shares of MongoDB from $480.00 to $350.00 and set an “overweight” rating for the company in a report on Friday, May 31st. Needham & Company LLC reaffirmed a “buy” rating and set a $290.00 target price on shares of MongoDB in a report on Thursday, June 13th. Stifel Nicolaus lowered their target price on shares of MongoDB from $435.00 to $300.00 and set a “buy” rating for the company in a report on Friday, May 31st. Monness Crespi & Hardt raised shares of MongoDB to a “hold” rating in a report on Tuesday, May 28th. Finally, Loop Capital decreased their price target on shares of MongoDB from $415.00 to $315.00 and set a “buy” rating for the company in a report on Friday, May 31st. One equities research analyst has rated the stock with a sell rating, five have assigned a hold rating, nineteen have assigned a buy rating and one has given a strong buy rating to the company. Based on data from MarketBeat.com, the company currently has a consensus rating of “Moderate Buy” and an average target price of $361.30.

Read Our Latest Analysis on MDB

Hedge Funds Weigh In On MongoDB

Several institutional investors and hedge funds have recently added to or reduced their stakes in MDB. Norges Bank bought a new position in MongoDB in the 4th quarter valued at approximately $326,237,000. Jennison Associates LLC lifted its stake in MongoDB by 14.3% in the 1st quarter. Jennison Associates LLC now owns 4,408,424 shares of the company’s stock valued at $1,581,037,000 after purchasing an additional 551,567 shares during the last quarter. Axiom Investors LLC DE bought a new position in MongoDB in the 4th quarter valued at approximately $153,990,000. Swedbank AB bought a new position in MongoDB in the 1st quarter valued at approximately $91,915,000. Finally, Clearbridge Investments LLC raised its stake in shares of MongoDB by 109.0% during the first quarter. Clearbridge Investments LLC now owns 445,084 shares of the company’s stock valued at $159,625,000 after acquiring an additional 232,101 shares during the last quarter. Institutional investors own 89.29% of the company’s stock.

About MongoDB

(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.

Featured Articles

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Article originally posted on InfoQ. Visit InfoQ

E-Commerce security firm Sansec unveiled a new supply chain attack affecting the Polyfill JS service when accessed through a number of CDNs hosting it. According to Sansec, over 100K sites were hit. The original author of the service, Andrew Betts, suggested removing Polyfill from any sites using it.

According to Sansec, a malicious actor has taken control of a number of domains to spread malware since at least June 2023. In their first report, only the https://cdn.polyfill.io domain was flagged as being affected:

In February this year, a Chinese company bought the domain and the Github account. Since then, this domain was caught injecting malware on mobile devices via any site that embeds cdn.polyfill.io.

A few days later, Sansec extended the list of domains including bootcdn.net, bootcss.com, staticfile.net, staticfile.org, unionadjs.com, xhsbpza.com, union.macoms.la, and newcrbpc.com.

Since the Polyfill JS service generates polyfill code dynamically based on the browser and the device sending the request, the malware actually deployed to the client may vary too. Sansec detected a specific malware redirecting mobile users to a sports betting site using a pseudo-Google Analytics domain (www.googie-anaiytics.com), but we do not know yet if additional variants do exist.

The code has specific protection against reverse engineering, and only activates on specific mobile devices at specific hours. It also does not activate when it detects an admin user. It also delays execution when a web analytics service is found, presumably to not end up in the stats.

The original creator of the service, Andrew Betts, has denied any affiliation with the polyfill.io domain or involvement with its sale. As mentioned, he also suggested to get rid of polyfills in polyfill.io altogether:

No website today requires any of the polyfills in the http://polyfill.io library. Most features added to the web platform are quickly adopted by all major browsers, with some exceptions that generally can’t be polyfilled anyway, like Web Serial and Web Bluetooth.

CloudFlare has released an automatic JavaScript URL rewriting service to rewrite any link to polyfill.io to a CloudFlare-hosted version of polyfill.js.

CloudFlare adds a few details to understand how this supply chain attack came into existence:

Back in February, the domain polyfill.io, which hosts a popular JavaScript library, was sold to a new owner: Funnull, a relatively unknown company. At the time, we were concerned that this created a supply chain risk.

This new supply chain attack raises once again concerns about widespread practices in the Web development world. Betts observed in his X thread that domains serving popular JS scripts are a “huge security concern” since they can access or modify all the websites using them:

If you own a website, loading a script implies an incredible relationship of trust with that third party. Do you actually trust them?

Several commenters on Hacker News pointed at subresource integrity (SRI) checks as a way to address this kind of risks, although admittedly this was not an option for polyfills.io, since it generates dynamic code.

Others hinted at the fact that using a CDN is not justified anymore for most use cases, since after HTTP/2 introduced cache partitioning and stopped limiting concurrent requests to a domain, the idea that a dependency common to different domains would be re-used locally does not hold anymore.

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Posted on mongodb google news. Visit mongodb google news

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

Article originally posted on InfoQ. Visit InfoQ

The security team at Datadog recently disclosed a security issue on AWS where non-production endpoints were used as an attack surface to silently perform permission enumeration. AWS has since remediated these specific bypasses.

According to the announcement, Datadog identified two new scenarios in June 2023 for bypassing AWS CloudTrail: using certain non-production endpoints with API actions that access account-level information, and using API calls that generate multiple events in CloudTrail. Nick Frichette, staff security researcher at Datadog, explains:

We determined that non-production AWS API endpoints could be used for permission enumeration without logging to CloudTrail. Since our initial public disclosure of this technique, we have collaborated closely with AWS to illustrate how adversaries could leverage this method to stealthily assess the privileges of compromised credentials.

The research highlights that attackers can exploit misconfigurations and vulnerabilities in these non-production endpoints, often overlooked in security measures, to gain unauthorized access, escalate privileges, and potentially compromise production environments.

Since the issue was reported to AWS, the cloud provider has remediated two specific bypasses, releasing a fix last September for the CloudTrail bypass in AWS Cost Explorer (ce:GetCostAndUsage) and the one in Route 53 (route53resolver:ListFirewallConfigs). The AWS Security Outreach team requested delaying the publication of Datadog’s findings until additional mitigation processes were rolled out. Corey Quinn, chief cloud economist at The Duckbill Group, comments:

AWS Security dragged its feet for 11 months on this vulnerability disclosure. What the hell is going on over there?

Frichette emphasizes instead the importance of securing all endpoints, including those considered low-risk or used for testing and development, to prevent security breaches:

While this specific example is no longer vulnerable, it is important to note that there are thousands of non-production endpoints, any number of which could exhibit similar behavior.Aside from bypassing CloudTrail, non-production endpoints have an additional potential use case when it comes to defense evasion: event source obfuscation.

The cloud provider acknowledges the vulnerability:

For isolated non-production endpoints that do not log to CloudTrail but are otherwise callable with normal credentials and exhibit normal IAM permission behavior, AWS considers the CloudTrail logging bypass of such endpoints also to be a security issue.

At the same AWS highlights that not every endpoint must be remediated:

Non-production endpoints that have access to production resources but generate CloudTrail events that do not match the events generated by the standard endpoint will not be remediated unless it is unclear what service and operation is involved.

Along with the announcement, Datadog released a video documenting how the vulnerabilities were discovered. This is not the only disclosure from Datadog this year; the recent article “Amplified exposure: How AWS flaws made Amplify IAM roles vulnerable to takeover” covers a vulnerability in AWS Amplify that exposed IAM roles associated with projects.

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The elected directors, Roelof Botha, Dev Ittycheria, and Ann Lewnes, will serve on the Board of Directors until the 2027 Annual Meeting of Stockholders. Votes for the directors were notably split, with Botha receiving 34,836,881 votes for and 22,488,981 withheld. Ittycheria saw a more favorable outcome with 47,573,234 votes for and 9,752,628 withheld, while Lewnes garnered a strong endorsement with 56,939,656 votes for and only 386,206 withheld. All three faced a significant number of broker non-votes, totaling 9,306,416 each, which did not affect the outcome.

In the advisory vote on executive compensation, stockholders showed substantial support, with 50,508,282 votes in favor, 6,763,044 against, and a mere 54,536 abstentions. The non-binding nature of this vote reflects stockholders’ opinions on the company’s executive pay policies without immediate effect on current compensation arrangements.

Additionally, the stockholders ratified the appointment of PricewaterhouseCoopers LLP as MongoDB’s independent registered public accounting firm for the fiscal year ending January 31, 2025. The decision was nearly unanimous, with 66,045,427 votes for, 518,284 against, and 68,567 abstentions.

These voting outcomes, derived from the company’s 8-K filing with the Securities and Exchange Commission, demonstrate shareholder confidence in MongoDB’s governance and financial oversight as it continues to navigate the competitive landscape of the technology sector.

As MongoDB, Inc. (NASDAQ:MDB) navigates its path in the competitive technology sector, its financial health and market performance remain critical for investors. According to real-time data from InvestingPro, MongoDB’s market capitalization stands at a robust $18.36 billion. The company’s revenue growth is also notable, with a 29.15% increase over the last twelve months as of Q1 2025 and a quarterly revenue growth of 22.34% in Q1 2025, reflecting its business expansion and market penetration.

InvestingPro Tips highlight that MongoDB holds more cash than debt, a sign of financial stability, and analysts predict the company will be profitable this year, indicating potential for positive earnings momentum. It’s worth noting, however, that the stock has experienced a significant price drop over the last three months, with a 31.92% decline, which may concern short-term investors but could present a buying opportunity for those with a longer-term outlook.

For investors seeking a deeper analysis, InvestingPro offers additional tips on MongoDB, which can be accessed with a subscription. Use the coupon code PRONEWS24 to get an additional 10% off a yearly or biyearly Pro and Pro+ subscription. With more tips available, including insights on valuation multiples and earnings revisions, investors can make informed decisions backed by comprehensive data and expert analysis.

This article was generated with the support of AI and reviewed by an editor. For more information see our T&C.

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Redis has released its new product named Redis Cloud Packages, a combination of pre-configured Redis Cloud instances designed to meet specific workloads and use cases, allowing users to skip from manual configurations and removing the hassle of managing Redis instances, making it more accessible and efficient for developers. Users can use a package for caching, NoSQL databases, or vector search.

Redis Cloud is designed to deliver a fully-managed Redis database on major public cloud services, providing all the features of Redis Enterprise to users, such as: instant failover, backups and recovery, 24/7 monitoring and support, linear scalability and predictable performance.

Redis as a Vector search aims to provide a foundation for AI applications from recommendation systems to document chat, allowing developers to ground their own virtual assistants utilizing agents and RAG (Retrieval Augmented Generation) to enhance responses from LLMs (Large Language Models). Furthermore, Redis Vector indexes are managed with similarity search. Users can choose between the following techniques: FLAT – that is a brute force approach, and HSNW – an approximate method utilizing Hierarchical Small Word graphs efficient search. The metrics supported in Redis vector search to measure the similarity between two vectors are Euclidean, Inner Product, and Cosine. Users interested in exploring Redis Vector search can find resources in the Redis learn section page.

Harrison Chase, co-founder and CEO of LangChain, stated:

“We’re using Redis Cloud for everything persistent in OpenGPTs, including as a vector store for retrieval and a database to store messages and agent configurations. The fact that you can do all of those in one database from Redis is really appealing.”

RedisJSON is a high-performance NoSQL document store that provides native APIs to ingest, index, run query and full-text search on JSON documents, its main capabilities including:

• In-Memory JSON store – Store and process scheme-free JSON in-memory, supporting millions of operations per second
• Index and querying – it is possible to create indexes on JSON documents, perform complex aggregations, and filter by properties, numeric ranges, and geographical distance
• Full-text / fuzzy search – JSON supports full-text indexing and stemming-based query expansion in multiple languages, providing a rich query language that can perform text searches, as well as complex structured queries, and “fuzzy” searches

Let’s see an example of the creation of a JSON document within a single Redis key named “testkey”:

redis> JSON.SET testkey . '[ 123, { "life": 42 },{"fish","please"} ]'
OK
redis> JSON.GET testkey "[123,{"life":42},{"fish","please"}]"

It is important to notice that both Redis Enterprice and Redis Cloud are compatible with Redis Community Edition.

To get started, users just need to sign up with a Google or GitHub account and choose between the plans available. Currently there are three subscription plans:

• Free Redis Cloud Essentials – designed for training and prototyping purposes, it comes with 30MB storage and max 30 concurrent connections
• Redis Cloud Essentials (paid) – a cost-efficient option for low throughput scenarios; it comes with a storage capacity ranging from 250MB to 12GB, and 256 to Unlimited concurrent connections
• Redis Cloud Pro – this one supports more databases, greater throughput and unlimited connections compared to the Redis Cloud Essentials, it brings 50TB storage and unlimited concurrent connections

More details about subscriptions plans are available on the subscription page.

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Image generated with ChatGPT
 

The ability to efficiently store, manage, and analyze vast amounts of information is crucial for any organization. As data continues to grow in volume and complexity, traditional databases often fall short of meeting modern demands. This is where next-generation databases come into play—designed to be fast, secure, and cost-effective, they offer innovative solutions for handling large-scale and diverse data issues.

In this blog, we will learn about seven modern SQL databases making waves in 2024. These databases provide robust performance and scalability and are equipped with advanced features like AI integration.

1. Dolt

Dolt is an open-source, version-controlled database that combines the power of Git with the functionality of a relational database. With Dolt, you can fork, clone, branch, merge, push, and pull databases just like you would with a Git repository.

Dolt is MySQL-compatible, allowing you to run SQL queries and use the command line interface to manage your data. This version-controlled database is ideal for collaborative environments where tracking changes and maintaining data integrity are paramount.

Just like GitHub, DoltHub is a place where people can share their database. You can access the public database for free just like GitHub.

2. MongoDB

MongoDB is a popular NoSQL database known for its flexibility and scalability. it uses a document-oriented data model, which allows for the storage of semi-structured data. With its flexible data model and rich ecosystem of tools and services, MongoDB is a favorite among developers and enterprises alike. Its ability to handle large amounts of unstructured data makes it an ideal choice for modern applications.

MongoDB is available in different environments, including MongoDB Atlas (a fully managed service in the cloud), MongoDB Enterprise (a subscription-based, self-managed version), and MongoDB Community (a free-to-use, self-managed version).

3. Redis

Redis is a fast in-memory database used as a caching, vector search, message broker, and NoSQL databases that seamlessly fit into any tech stack. Known for its high performance and low latency, Redis is widely used in real-time applications such as caching, session management, and real-time analytics. Its support for various data structures like strings, hashes, lists, sets, and more makes it a powerful tool for developers.

4. MindsDB

MindsDB is a platform that enhances SQL databases with machine learning capabilities. It allows you to build, fine-tune, and serve machine learning models directly within your database using familiar SQL syntax. MindsDB integrates with numerous data sources, including databases, vector stores, and applications, and popular AI/ML frameworks for AutoML and LLMs.

Imagine Transformers, LangChain, Vector database, OpenAI API, SQL and NoSQL database, and agents all in one, and you can access them using SQL syntax. It is a dream for data engineers and analysts.

5. Clickhouse

ClickHouse is an open-source columnar database management system designed for online analytical processing (OLAP). It is known for its high performance and efficiency in handling large volumes of data. ClickHouse is particularly well-suited for real-time analytics and big data applications, providing fast query performance and scalability.

Apart from being blazing fast, ClickHouse is developer-friendly as complex data analysis can be done using simple SQL. Moreover, it is cost-effective with compression ratios that reduce storage and accelerate performance.

6. Elasticsearch

Elasticsearch is a distributed, RESTful search and analytics engine built on Apache Lucene. It securely stores your data for lightning-fast search, fine-tuned relevancy, and powerful analytics that scale quickly. Elasticsearch is often used with the ELK stack (Elasticsearch, Logstash, Kibana) for log and event data analysis, making it a popular choice for monitoring and observability solutions. With Elasticsearch, you can easily tackle large-scale data challenges, ensuring that your search and analytics capabilities grow alongside your data.

7. Snowflake

Snowflake is a cloud-based data warehousing solution that offers a unique architecture to handle diverse data workloads. It separates storage and compute, allowing for independent scaling of resources. Snowflake supports structured and semi-structured data, providing robust data sharing and collaboration features. Its seamless integration with various cloud platforms makes it a go-to choice for modern data warehousing needs.

Final Thoughts

Picking the best database system is very important for how well your organization can handle, analyze, and get useful information from data. By understanding the strengths and features of these modern SQL databases, you can make informed decisions that align with your specific requirements. Using these technologies not only enhances your data engineering operations but also positions your organization for future growth and success.

Abid Ali Awan (@1abidaliawan) is a certified data scientist professional who loves building machine learning models. Currently, he is focusing on content creation and writing technical blogs on machine learning and data science technologies. Abid holds a Master’s degree in technology management and a bachelor’s degree in telecommunication engineering. His vision is to build an AI product using a graph neural network for students struggling with mental illness.