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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

MongoDB (NASDAQ: MDB) is a modern, document-oriented database platform that revolutionizes the way organizations store, process, and leverage data. Built to meet the needs of both cutting-edge startups and major enterprise players, MongoDB offers a flexible, scalable, and highly performant solution that replaces legacy systems with a dynamic, NoSQL ecosystem. With advanced capabilities in operational data management, developers worldwide trust MongoDB to power applications that demand real-time analytics, seamless scalability, and robust data security.

Core Business and Value Proposition

At its core, MongoDB provides a document-based data model that simplifies application development by storing data in a JSON-like format. This approach allows organizations to rapidly deploy applications that can iterate quickly without the constraints of rigid schema definitions. Whether through direct licensing or via subscription-based cloud services like MongoDB Atlas, the company addresses a diverse range of use cases—from transactional processing to complex AI-driven applications. Document-oriented databases and NoSQL solutions are central to MongoDB's appeal, offering a blend of modern data management flexibility and enterprise-class performance.

Product and Service Offerings

MongoDB’s portfolio spans a wide array of services designed for modern application development:

  • MongoDB Atlas: A fully managed, multi-cloud data platform that streamlines the deployment and management of databases across public cloud environments. Atlas not only simplifies scaling and performance optimization but also integrates seamlessly with advanced capabilities such as real-time analytics and vector search.
  • Operational Database Services: By providing a unified platform that supports operational workloads across various industries, MongoDB assists businesses in building applications that rely on up-to-date, trustworthy data.
  • Advanced Integration for AI: MongoDB’s integration with generative AI frameworks and cutting-edge embedding models illustrates its commitment to next-generation application development. These integrations reduce complexity and enable faster iteration in deploying AI-powered features while ensuring that data security and integrity are maintained throughout the process.
  • Developer Ecosystem and Partnerships: With a robust network of technology and service partners, MongoDB fosters a vibrant community. Thousands of developers leverage its platform to innovate, and extensive training programs ensure that expertise is widely distributed across industries.

Market Position and Competitive Landscape

MongoDB operates in a competitive landscape marked by the transition from legacy relational databases to agile, scalable NoSQL solutions. Its market significance lies in its ability to overcome traditional database constraints, making it a tool of choice for modern digital transformation. Unlike conventional systems, MongoDB’s document model supports a variety of application scenarios—from transactional systems to content management and AI application development—enabling organizations to innovate rapidly while controlling costs. The platform’s performance in handling high volumes of data and its extensibility have allowed it to capture significant market share among businesses that prioritize speed, efficiency, and flexibility.

Technical Architecture and Ecosystem

MongoDB’s technical architecture is designed with developers in mind. The use of a flexible document model ensures that applications can evolve without costly redevelopment. Its multi-cloud capabilities, highlighted by MongoDB Atlas, guarantee that businesses can deploy applications across various infrastructures while maintaining stringent security protocols and performance benchmarks. The company’s ecosystem is bolstered by strategic integrations with cloud providers and AI technology partners that continuously enhance its feature set, such as vector search and real-time stream processing. The platform’s ability to integrate with multiple programming languages and deployment environments further establishes its position as a central component in the modern application stack.

Operational Excellence and Industry Adoption

From startups to some of the world’s largest enterprises, MongoDB is a foundational component in the modern data architecture. The company’s commitment to operational excellence is reflected in its ability to scale usage across tens of thousands of customers globally. It emphasizes not only innovation in its product line but also reliability, robust security features, and ease of use. Its widespread adoption across industries—ranging from healthcare and finance to public sector applications—demonstrates that MongoDB’s platform is both versatile and robust enough to meet diverse operational demands.

Integration of Advanced Data Capabilities

A notable aspect of MongoDB’s strategy is its emphasis on integrating advanced data capabilities, which include real-time analytics, operational intelligence, and AI-driven data retrieval. These features are essential for businesses that are harnessing the power of big data and artificial intelligence in their core operations. By providing a unified platform that combines operational data management with advanced analytical tools, MongoDB simplifies complex development processes, enabling businesses to reduce time-to-market and deliver innovative solutions efficiently.

Conclusion

MongoDB stands as a transformative force in the world of data management. Its next-generation document database, flexible business model, and robust multi-cloud platform empower organizations to harness the power of their data in ways that were once considered impossible. With a strong developer focus, a vast ecosystem of partners, and a commitment to continual innovation, MongoDB remains a cornerstone in the modernization of applications, ensuring that businesses across the globe can maintain competitive advantages by building and scaling applications with unprecedented ease and efficiency.

For investors and analysts, MongoDB represents not just a database provider, but a comprehensive platform that addresses the evolving needs of modern enterprises, ensuring that data transformation and operational innovation remain at the heart of digital progress.

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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 $154.39 as of April 4, 2025.

What is the market cap of Mongodb (MDB)?

The market cap of Mongodb (MDB) is approximately 13.0B.

What is MongoDB and what problem does it solve?

MongoDB is a document-oriented NoSQL database platform that allows organizations to store and manage data flexibly. It replaces legacy databases with a scalable, agile solution suitable for modern application development.

How does MongoDB generate revenue?

MongoDB generates revenue through licensing fees as well as subscription-based cloud services via its MongoDB Atlas platform, allowing customers to choose a deployment model that best fits their needs.

What are the core features of the MongoDB platform?

Key features include a flexible document data model, multi-cloud deployment, advanced integrations such as real-time analytics, vector search, and seamless integration with modern AI frameworks.

Who are MongoDB's primary customers?

MongoDB serves a diverse customer base ranging from early-stage startups to large, established enterprises across industries like finance, healthcare, public sector, retail, and technology.

How does MongoDB differentiate itself from traditional databases?

Unlike traditional relational databases, MongoDB offers a schema-less document model that enables quicker development cycles, greater scalability, and more efficient handling of diverse and complex data types.

What role does MongoDB Atlas play in the company's offerings?

MongoDB Atlas is a fully managed multi-cloud data platform that simplifies the deployment, scaling, and management of databases. It offers integrated features like advanced analytics and AI-driven data processing, enhancing operational efficiency.

How does MongoDB address the needs of modern application development?

MongoDB combines a flexible data structure with robust cloud functionalities and advanced integration capabilities, allowing developers to build and scale applications quickly while reducing complexity and operational costs.

What makes MongoDB a reliable choice for enterprises?

Its flexible, scalable architecture, widespread adoption, integrated security features, and a rich ecosystem of partners and developers contribute to its reliability and long-standing industry presence.
Mongodb

Nasdaq:MDB

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MDB Stock Data

12.96B
78.68M
2.97%
86.63%
2.05%
Software - Infrastructure
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