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Mongodb - MDB STOCK NEWS

Welcome to our dedicated page for Mongodb news (Ticker: MDB), a resource for investors and traders seeking the latest updates and insights on Mongodb stock.

Overview of MongoDB

MongoDB, Inc. (NASDAQ: MDB) is a pioneering software company that revolutionizes the way organizations manage and leverage their data. Headquartered in New York, MongoDB specializes in providing a modern, developer-centric database platform designed to meet the demands of today’s data-driven applications. Founded in 2007, the company is best known for its NoSQL document-oriented database, which delivers unmatched flexibility, scalability, and performance for diverse use cases across industries.

Core Offerings

At the heart of MongoDB's product portfolio is its flagship database platform, which employs a document-based architecture rather than the rigid, table-based structure of traditional relational databases. This schema-less design enables developers to store, query, and manage data in a highly flexible and intuitive manner, making MongoDB an ideal choice for modern applications that require rapid development cycles and real-time data processing.

MongoDB Atlas, the company's fully managed cloud database service, further extends its capabilities by offering seamless deployment across major cloud providers, including Amazon Web Services (AWS), Microsoft Azure, and Google Cloud. Atlas provides an integrated set of services, such as real-time analytics, search, and advanced security features, ensuring organizations can build, deploy, and scale applications with ease.

Market Position and Differentiation

MongoDB operates in the highly competitive database management systems (DBMS) market, which includes established players like Oracle, Microsoft SQL Server, and Amazon DynamoDB. Despite this, MongoDB has carved out a strong niche as a leader in the NoSQL segment, with its developer-first approach and focus on innovation. The company's platform is particularly well-suited for emerging technologies such as artificial intelligence (AI), Internet of Things (IoT), and generative AI applications, where traditional databases often fall short.

MongoDB’s global footprint includes tens of thousands of customers across over 100 countries, ranging from startups to Fortune 100 companies. Its platform has been downloaded hundreds of millions of times, and millions of developers have been trained through MongoDB University, further solidifying its reputation as a trusted partner for modern application development.

Revenue Model

MongoDB's revenue streams are primarily subscription-based, with its Atlas product contributing a significant portion of its growth. The company also generates revenue through licensing for on-premise deployments and professional services that help organizations maximize the value of their MongoDB implementations. This recurring revenue model ensures a predictable income stream while supporting long-term customer relationships.

Competitive Advantages

MongoDB’s competitive edge lies in its ability to address the limitations of legacy databases. Its document model provides unparalleled flexibility for handling semi-structured and unstructured data, which is increasingly common in today’s digital landscape. Furthermore, MongoDB’s distributed architecture ensures high availability and scalability, making it a preferred choice for mission-critical applications.

Additionally, MongoDB's commitment to innovation is evident in its continuous expansion of capabilities, such as vector search for AI applications, real-time analytics, and multi-cloud support. These features enable organizations to leverage their data more effectively, driving faster decision-making and enhanced user experiences.

Significance in the Industry

MongoDB has become a cornerstone for modern software development, empowering businesses to innovate and transform their industries. Its platform is widely used across sectors such as finance, healthcare, retail, and technology, where data-driven decision-making and operational efficiency are paramount. By enabling developers to build and scale applications faster, MongoDB plays a critical role in driving digital transformation and fostering innovation.

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MongoDB and Google Cloud have expanded their collaboration to make it easier and more cost-effective for customers to build, scale, and deploy generative AI applications. The partnership introduces new solutions for retail and manufacturing, including enhanced support for data processing and industry-specific solutions. MongoDB Enterprise Advanced on Google Distributed Cloud ensures stringent security and data privacy requirements are met. The collaboration aims to provide seamless development environments for creating engaging shopping experiences and data-driven applications.
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AlleyCorp, a venture capital firm, partners with MLT to launch Peerless pitch competition supporting underrepresented early-stage founders, offering $1 million investment and various support services.
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MongoDB, Inc. (MDB) reports strong financial results with Fourth Quarter Fiscal 2024 Total Revenue of $458.0 million, up 27% Year-over-Year, and Full Year Fiscal 2024 Total Revenue of $1.68 billion, up 31% Year-over-Year. MongoDB Atlas revenue increased by 34% year-over-year, representing 68% of total Q4 revenue. The company continues to see robust customer growth with over 47,800 customers as of January 31, 2024.
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MongoDB, Inc. (MDB) expands MongoDB Atlas, its developer data platform, to 117 cloud regions across major providers AWS, Google Cloud, and Microsoft Azure. The platform offers performance, resilience, security, and flexibility for modern applications, with multi-cloud clusters for seamless application running. Customers can now build, deploy, and run modern applications using MongoDB Atlas in new cloud regions globally.
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MongoDB, Inc. (MDB) will report its Q4 and full-year fiscal year 2024 financial results on March 7, 2024. A conference call will be held to discuss the results and business outlook.
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MongoDB, Inc. (NASDAQ: MDB) announced its founding membership in the U.S. Artificial Intelligence Safety Institute Consortium (AISIC) to develop standards for the responsible use of AI. The consortium, established by NIST under the U.S. Department of Commerce, aims to create safe and trustworthy AI by defining a new measurement science and promoting the development and responsible use of AI. MongoDB will provide expertise in various fields, including multi-cloud software systems, AI technologies, encryption techniques, and cybersecurity. The consortium, with over 200 member organizations, will work with industry, civil society, academia, and like-minded nations to set AI safety standards globally.
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MongoDB, Inc. (NASDAQ: MDB) announced that its COO and CFO, Michael Gordon, and SVP of Finance, Serge Tanjga, will present at the Needham Growth Conference on January 16, 2024, at 10:15 a.m. Eastern Time. The presentation will be available via live webcast on the MongoDB investor relations website, with a replay available for a limited time.
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Ann Lewnes, former Adobe and Intel executive, joins MongoDB, Inc. (NASDAQ: MDB) Board of Directors, bringing marketing and corporate strategy expertise from high-growth technology companies. With decades of experience, Lewnes' appointment is expected to help differentiate MongoDB's developer data platform and drive innovation in the era of generative AI.
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MongoDB, Inc. (NASDAQ: MDB) reported a total revenue of $432.9 million for the third quarter of fiscal 2024, showing a 30% year-over-year increase. The company also saw strong customer growth with over 46,400 customers as of October 31, 2023. MongoDB Atlas revenue was up 36% year-over-year, accounting for 66% of the total Q3 revenue. The gross profit was $325.9 million, representing a 75% gross margin. However, the company reported a loss from operations of $45.2 million for the quarter.
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MongoDB, Inc. (NASDAQ: MDB) announces the general availability of MongoDB Atlas Vector Search and MongoDB Atlas Search Nodes to simplify building, deploying, and scaling next-generation applications. The new capabilities allow organizations to bring generative AI and relevance-based search into real-time applications for highly engaging and customized end-user experiences using operational data. Customers can integrate AI-powered capabilities into applications with MongoDB Atlas Vector Search and isolate and scale generative AI and search workloads on MongoDB Atlas using Search Nodes. AT&T Cybersecurity and Pathfinder Labs are among the customers building and scaling next-generation applications using these capabilities.
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FAQ

What is the current stock price of Mongodb (MDB)?

The current stock price of Mongodb (MDB) is $192.98 as of March 6, 2025.

What is the market cap of Mongodb (MDB)?

The market cap of Mongodb (MDB) is approximately 21.2B.

What is MongoDB's primary product?

MongoDB's primary product is a document-oriented NoSQL database designed for flexibility, scalability, and developer efficiency.

How does MongoDB generate revenue?

MongoDB generates revenue through subscription-based services like MongoDB Atlas, licensing for on-premise deployments, and professional services.

What industries use MongoDB?

MongoDB is widely used across industries such as finance, healthcare, retail, and technology for data-driven applications and innovation.

What makes MongoDB different from traditional databases?

MongoDB’s document-based architecture offers greater flexibility and scalability compared to traditional relational databases, making it ideal for modern applications.

What is MongoDB Atlas?

MongoDB Atlas is the company’s fully managed cloud database service, providing seamless deployment, real-time analytics, and multi-cloud support.

Who are MongoDB's main competitors?

MongoDB competes with traditional database providers like Oracle and Microsoft SQL Server, as well as NoSQL solutions like Amazon DynamoDB.

How does MongoDB support AI applications?

MongoDB integrates advanced features like vector search and real-time analytics to support AI-powered applications and generative AI use cases.

What is the significance of MongoDB’s document model?

The document model allows for flexible data structures, enabling developers to handle semi-structured and unstructured data efficiently.

Is MongoDB suitable for large-scale applications?

Yes, MongoDB’s distributed architecture ensures high availability and scalability, making it suitable for mission-critical, large-scale applications.

What training resources does MongoDB offer?

MongoDB provides extensive training through MongoDB University, which has educated millions of developers worldwide.
Mongodb

Nasdaq:MDB

MDB Rankings

MDB Stock Data

21.17B
71.63M
3.2%
94.73%
6.18%
Software - Infrastructure
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United States
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