2026-06-11 19:46
AI teams are facing rapid changes in technology. To thrive, they need a strong data platform, and MongoDB offers just that. 🌐 MongoDB supports dynamic data through JSON, enhancing agent performance with features like search and vector search. Companies like DevRev and Adobe utilize MongoDB Atlas to improve their systems and deliver real-time, personalized interactions. Moreover, MongoDB is collaborating with partners to establish open standards for agent memory, aiming for greater...
Source: MongoDB Blog
2026-06-03 19:51
Retail supply chains are evolving from back-office functions to critical business strategies. Recent challenges, like rising shipping costs, demand a shift toward resilience and AI-driven responsiveness. 🏬🔄 Retailers are modernizing supplier management with unified data platforms like MongoDB, enabling real-time decision-making and agility. This transition is essential to navigate disruptions effectively. 📊🤖 A KPMG study highlights that businesses are focusing on metrics such as recovery time...
Source: MongoDB Blog
2026-04-14 17:01
New research from IDC highlights the importance of modernizing legacy technology for AI success in Asia/Pacific. Organizations that embed modernization into their operations achieve **3x** more digital revenue growth. Two groups emerge from the study: **Leaders**, who prioritize modernization, and the **Mainstream**, hindered by technical debt. The divide impacts performance significantly, with Leaders generating almost triple the revenue. Legacy systems create data debt, leading to...
Source: MongoDB Blog
2026-04-07 17:03
🚀 MongoDB has introduced predictive auto-scaling for Atlas, enhancing the way it manages server loads. This new feature anticipates spikes in demand, scaling up replica sets before overload occurs. Currently, it only scales up; the existing reactive algorithm manages scaling down. Research indicates this could significantly improve performance and save costs for users. 🌍💡 #MongoDB #AutoScaling #CloudComputing #DataManagement #MachineLearning
Source: MongoDB Blog
2026-03-31 13:00
🚀 Software engineering is evolving into agentic engineering, with 84% of developers using AI tools according to the 2025 Stack Overflow Developer Survey. Today, MongoDB introduces Agent Skills—structured instructions and best practices that help coding agents generate reliable code throughout the development lifecycle. 🛠️ These skills are now available as plugins for popular tools like Claude Code, Cursor, Gemini CLI, and VS Code, ensuring agents follow MongoDB best practices. This...
Source: MongoDB Blog
2026-03-17 17:00
🚀 MongoDB has launched an enhanced data browsing experience in the MongoDB for Visual Studio (VS) Code extension! This update offers a unified workspace for developers to visually browse, query, and edit data directly within VS Code. Key features include a paginated tree view for better data context, powerful action menus for easy management, and native editing with standard Shell syntax. These improvements aim to streamline workflows, allowing developers to focus more on coding and less on...
Source: MongoDB Blog
2026-02-27 16:30
🌍 MongoDB's Dublin office is a vibrant hub of over 300 employees from 40+ nationalities, playing a crucial role in the company's global mission since 2012. 🛠️ The workplace emphasizes wellness, flexibility, and community support, making it an ideal environment for career growth. Employees enjoy comprehensive benefits, generous leave policies, and opportunities for professional development. 🤝 With an inclusive culture and frequent social activities, MongoDB Dublin fosters a sense of belonging...
Source: MongoDB Blog
2026-02-27 15:30
In our latest update, we discuss verifying MongoDB's distributed transactions protocol against its underlying WiredTiger storage engine. By formalizing the interface between these components, we developed a tool to automate conformance checks. This allows us to generate extensive test cases, ensuring that the implementation aligns with our abstract model. Our approach utilizes TLA+ specifications and a modified TLC model checker to create and execute tests efficiently. For further insights,...
Source: MongoDB Blog
2026-01-15 20:15
🚀 Exciting updates from MongoDB.local San Francisco! MongoDB has announced new capabilities that streamline the transition from AI prototype to production. Key highlights include the launch of the Voyage 4 model family, enhancing AI search experiences, and the new voyage-multimodal-3.5 model for video content. Additionally, Automated Embedding simplifies semantic search within MongoDB Community Edition, allowing for efficient data retrieval without extra management tasks. Explore these...
Source: MongoDB Blog
2025-12-22 17:34
🚀 2025 was a pivotal year for MongoDB, marked by customer-focused innovations and significant advancements. Key highlights include the acquisition of Voyage AI, enhancing AI application accuracy, and the launch of MongoDB AMP for faster legacy modernization. Also, new search capabilities were added to support AI-native applications, allowing secure hybrid deployments. Looking ahead, industry leaders at MongoDB share insights on AI's evolving role and the importance of data sovereignty in...
Source: MongoDB Blog
2025-10-12 23:00
🚗 Cars24, an online car marketplace serving 300 million users, has transformed its search capabilities using MongoDB Atlas. Pradeep Sharma, Cars24's Head of Technology, discussed how MongoDB streamlined their operations by eliminating data synchronization challenges. This shift allowed developers to focus on building new features rather than managing complex systems. The transition also led to a 50% reduction in costs and enhanced scalability, supporting Cars24's global growth. For more...
Source: MongoDB Blog
2025-10-09 15:00
🚀 In the final part of "The Cost of Not Knowing MongoDB," the focus is on advanced design patterns to enhance application performance. Key improvements include reducing document size using a dynamic schema and optimizing storage compression. The article discusses the transition from appV5R4 to appV6R0, demonstrating significant performance enhancements. 📊 The implementation of a dynamic monthly bucket document aims to alleviate disk throughput bottlenecks, showcasing the effectiveness of...
Source: MongoDB Blog
2025-10-02 18:52
🌟 Fall brings new beginnings, and MongoDB is at the forefront of innovation! Their Application Modernization Platform (AMP) helps businesses modernize legacy systems, enabling faster and more flexible solutions. Key customers like Wells Fargo, CSX, Intellect Design, and Deutsche Telekom are leading the way in transforming their operations. Wells Fargo improved its credit card platform, CSX migrated its critical operations to the cloud, Intellect Design enhanced wealth management services, and...
Source: MongoDB Blog
2025-10-02 15:31
Struggling with MongoDB? You're not alone. Many new users face challenges with data modeling, indexing, and performance. Initially, habits from relational databases can lead to inefficient practices, like improper schema design and ineffective indexing. MongoDB's Skill Badges can help bridge this gap. They cover essential topics such as data modeling, indexing strategies, and monitoring tools, streamlining your learning process. Start with the basics, monitor from day one, and explore...
Source: MongoDB Blog
2025-10-01 14:00
🚀 Exciting news! The integration of MongoDB Atlas with the Pureinsights Discovery Platform is now available, enhancing search experiences with keyword, vector, and generative AI. This solution goes beyond simple keyword searches, understanding user intent for more relevant results. With features like real-time translation and tailored responses, it adapts to user preferences. Check out the demo to see AI-powered search in action! 🌐 #MongoDB #AI #SearchTechnology #Innovation #TechNews
Source: MongoDB Blog
2025-09-30 15:00
🌐 Search technology is evolving! The rise of natural language queries is reshaping how we find information. Hybrid search combines traditional keyword search with vector search to enhance user experience. This integration allows for precise and context-aware retrieval, meeting modern expectations. Key techniques like reciprocal rank fusion (RRF) and relative score fusion (RSF) are now standard, improving search accuracy. Whether you prefer lexical-first or vector-first solutions, your...
Source: MongoDB Blog
2025-09-30 13:00
SaaS applications are essential for businesses, but their diverse security settings create risks. 🛡️ To address this, MongoDB collaborated with the Cloud Security Alliance to create the SaaS Security Capability Framework (SSCF). This framework standardizes security controls, making it easier for risk management and security teams to assess and implement security measures. 🔒 The SSCF focuses on six key domains, providing actionable controls for secure SaaS usage. Learn more about how MongoDB...
Source: MongoDB Blog
2025-09-25 16:15
MongoDB's engineering vision focuses on three key principles: resilience, intelligence, and simplicity. These principles aim to enhance developer agility by ensuring quick production deployment and easy scalability across multiple clouds. 🛠️☁️ Security is prioritized from the design phase, using architectural isolation and layered defenses to protect data. MongoDB Atlas provides dedicated clusters, minimizing shared resources to enhance performance and security. 🔐 The platform also...
Source: MongoDB Blog
2025-09-25 16:00
🚀 MongoDB has evolved from a niche NoSQL database to an enterprise powerhouse, driven by a focus on high availability, tunable consistency, and robust security. Over 70% of Fortune 500 companies now trust MongoDB for their critical applications, including 7 of the 10 largest banks. Key innovations like multi-document ACID transactions and advanced security features have solidified its position in various industries. 🌐 Learn more about how MongoDB is shaping the future of data management!...
Source: MongoDB Blog
2025-09-25 15:00
Understanding endianness is crucial for effective data communication between computers. 🖥️ It defines the order of bytes in multi-byte numbers, with big-endian storing the most significant byte first and little-endian storing the least significant byte first. This difference can lead to misinterpretation if not managed properly. Industries like telecommunications, IoT, and automotive rely on consistent byte order to ensure accurate data exchange. 📈🔄 For more insights on how endianness impacts...
Source: MongoDB Blog
2025-09-25 12:30
🚀 Exciting news! The MongoDB SQL Interface is now available for MongoDB Enterprise Advanced. This new feature allows teams to query MongoDB data directly from popular BI tools like Tableau and Power BI, using standard ODBC and JDBC connections. No need to learn MongoDB Query Language or build ETL pipelines! The setup is straightforward and requires MongoDB 6.0 or higher. The Schema Builder CLI helps create SQL-queryable schemas, ensuring smooth access to your data. For those using the BI...
Source: MongoDB Blog
2025-09-24 12:29
🚀 Big news from MongoDB! In 2025, we've introduced MongoDB 8.2 and the MongoDB Application Modernization Platform (AMP), enhancing developer capabilities and AI application reliability. 🌟 We're also proud to be recognized as a Glassdoor Best-Led Company, highlighting the trust and inspiration felt by our employees. This award is based solely on employee feedback, reflecting our commitment to leadership and culture. Discover more about our values and growth opportunities at MongoDB! #MongoDB...
Source: MongoDB Blog
2025-09-23 16:00
🚀 Understanding why 95% of enterprise AI agent projects fail is crucial for success. Many teams dive into technology without a clear use case, leading to impressive demos but no ROI. Research shows a significant gap between organizations deploying AI and those stuck in pilot phases. Critical issues include a lack of strategic clarity, leadership support, and proper governance. A structured framework, like the Canvas approach, can help teams effectively design AI agents by starting with user...
Source: MongoDB Blog
2025-09-22 14:00
Unlock the potential of your data with the integration of MongoDB Atlas and MCP Toolbox! 🌐 This collaboration simplifies connectivity between generative AI applications and enterprise data sources using a standardized protocol. With MCP Toolbox, organizations can efficiently query multiple databases, enhancing data management and insights. MongoDB Atlas offers scalability and flexibility, making it ideal for AI-driven applications. Explore how this integration can support your business in...
Source: MongoDB Blog
2025-09-21 23:00
🚀 BharatPE, a leading fintech in India, has successfully migrated from MongoDB Community Edition to MongoDB Atlas. This transition supports their processing of ₹12,000 crore (approx. $1.368 billion) monthly in UPI transactions. 💡 The five-step migration included careful planning, risk assessment, extensive testing, secure data transition, and validation. This approach minimized downtime while enhancing data security and operational efficiency. 📈 Since the migration, BharatPE has improved...
Source: MongoDB Blog
2025-09-18 15:00
Modernizing legacy databases to Java + MongoDB Atlas can enhance batch performance without sacrificing efficiency. By utilizing bulk operations, intelligent prefetching, and parallel execution, we developed a framework that significantly improves execution times—often achieving 10-15x better performance compared to legacy systems. 🌐📊 This modernization allows for flexibility, scalability, and real-time insights, addressing common challenges in batch job performance. Adapting to today's...
Source: MongoDB Blog
2025-09-18 12:00
🚀 Exciting updates from MongoDB.local NYC! Thousands of developers gathered to explore MongoDB's new capabilities, including the release of MongoDB 8.2 and the Voyage AI embedding models. 🛠️ The MongoDB Application Modernization Platform (AMP) aims to help enterprises transition from costly legacy systems to more efficient solutions, showing impressive early results. 🌍 With nearly 60,000 organizations now using MongoDB, the focus remains on providing a flexible and powerful database that...
Source: MongoDB Blog
2025-09-18 00:59
🌍 Celebrating innovation in tech, the MongoDB Global Partner Awards 2025 recognize partners driving success in AI and modernization. 🏆 Microsoft has been named Global Cloud Partner of the Year for its growth and collaboration with MongoDB across various industries. 🔗 AWS is honored as Global AI Cloud Partner of the Year, showcasing impactful AI solutions, while Google Cloud excels in joint go-to-market initiatives. ✨ Accenture earns recognition for its commitment to customer success in the...
Source: MongoDB Blog
2025-09-17 14:25
🌟 Today at the MongoDB.local event in New York, developers are exploring the future of AI software development. The spotlight is on the MongoDB MCP Server, which enhances AI coding by providing essential database context. This tool aims to streamline productivity for developers using AI-driven solutions. New integrations with n8n and CrewAI were also announced, enabling easier creation of AI applications and collaborative agent systems. Discover how these advancements are shaping the AI...
Source: MongoDB Blog
2025-09-17 14:25
🚀 MongoDB has enhanced its Queryable Encryption with support for prefix, suffix, and substring queries, now in public preview. This advancement allows organizations to conduct flexible searches on encrypted data without exposing sensitive information. Protecting data at rest, in transit, and in use, this technology supports compliance with regulations like GDPR and HIPAA while simplifying architecture. 📊 Discover more about Queryable Encryption and its potential to strengthen data security!...
Source: MongoDB Blog
2025-09-17 13:04
🚀 Exciting news from MongoDB! The public preview of search and vector search capabilities is now available for MongoDB Community Edition and Enterprise Server. These features enable developers to build AI-powered applications with enhanced search functionality, streamlining workflows and reducing complexity. With support for full-text and vector search, developers can create relevant app features without the need for external systems. This integration simplifies data architecture and boosts...
Source: MongoDB Blog
2025-09-16 12:59
🚀 Introducing MongoDB AMP: an AI-driven solution for modernizing legacy applications. With over a decade of expertise, MongoDB helps customers overcome barriers to digital transformation. The new platform enables rapid, scalable service transitions, speeding up code transformation by 10x and overall projects by 2-3 times. Many companies face challenges with technical debt and complex legacy systems, often leading to stagnation. MongoDB offers a proven methodology, combining AI workflows and...
Source: MongoDB Blog
2025-09-15 16:00
Unlock your potential with three key data modeling tips for MongoDB! 💡 1️⃣ **Schema Validation & Versioning**: Understand how to create flexible schemas that adapt to your app's needs while ensuring data integrity. 2️⃣ **Aggregation Pipeline Framework**: Simplify complex queries with a stage-based approach, making them easier to debug and optimize. 3️⃣ **Single Collection Pattern**: Store related data together for faster queries, avoiding costly joins. Discover more insights to enhance your...
Source: MongoDB Blog
2025-09-15 15:00
Unlocking the potential of generative AI just got easier! 🚀 LTIMindtree and MongoDB have launched BlueVerse Foundry, a no-code, full-stack AI platform. Designed to help enterprises move from prototype to production quickly, it addresses challenges posed by legacy systems and fragmented data. Powered by MongoDB Atlas, this platform supports diverse data formats and real-time processing, making AI deployment more efficient. With built-in governance and flexibility, organizations can create...
Source: MongoDB Blog
2025-09-12 14:00
Discover how Stagehand and MongoDB Atlas are transforming AI data workflows! 🌐 Stagehand simplifies browser automation using natural language and code, allowing developers to reliably extract web data. 🖥️ Its adaptability to UI changes enhances efficiency. Once data is gathered, MongoDB Atlas provides a flexible, scalable database for real-time processing and AI applications. 📊 With features like vector search and stream processing, it supports diverse data types seamlessly. Explore the...
Source: MongoDB Blog
2025-09-11 23:00
Circles, a global telecom company founded in Singapore in 2014, has expanded to 14 countries using MongoDB to support its growth. At the recent MongoDB .local Singapore event, Kelvin Chua, Head of Markets, shared insights on Circles’ successful launch of Jetpac, a travel tech solution built on MongoDB Atlas in just six weeks. 📈🌍✈️ Circles transitioned to MongoDB Atlas to improve efficiency and reduce costs, while also focusing on AI integration in future projects. #Circles #MongoDB #Jetpac...
Source: MongoDB Blog
2025-09-11 15:12
Multi-agent AI systems often struggle not due to communication issues, but because of memory limitations. Agents frequently duplicate tasks and work from inconsistent states, which worsens as more agents join. A solution lies in memory engineering, which provides a structured approach to manage agent memory. This allows for better coordination and efficiency in complex tasks. Understanding and implementing shared memory infrastructure is crucial for successful multi-agent deployments. #AI...
Source: MongoDB Blog
2025-09-10 14:59
🚀 Exciting news for developers! MongoDB Atlas is now available in the Vercel Marketplace. This integration simplifies how developers manage their web applications on Vercel. With MongoDB's flexible document model and Vercel's AI Cloud tools, building and scaling intelligent applications has never been easier. Developers can now provision MongoDB databases directly from their Vercel dashboard, streamlining the development process. Explore this powerful combination to enhance your application...
Source: MongoDB Blog
2025-09-10 14:00
As data volumes grow, organizations face challenges in extracting insights from unstructured documents. This article introduces a scalable document processing pipeline using AWS S3, LlamaParse, Confluent Cloud, and MongoDB. The architecture enables real-time processing and semantic enrichment of documents, enhancing applications like search and recommendation systems. Key components include intelligent parsing, streaming data management, and flexible storage solutions. Explore how this system...
Source: MongoDB Blog
2025-09-09 17:45
🚀 Developers transitioning from relational databases may struggle with MongoDB’s avoidance of joins, which can lead to performance issues. Instead of using joins, MongoDB encourages data duplication and denormalization for better efficiency. This method reduces query latency and simplifies architecture. MongoDB Atlas Stream Processing facilitates real-time materialized views, enhancing query optimization without the overhead of traditional ETL processes. Explore how to leverage these modern...
Source: MongoDB Blog