--- title: "MongoDB" description: "Database technology company providing a document-oriented database and cloud data platform for application development." --- # MongoDB > Database technology company providing a document-oriented database and cloud data platform for application development. ## Articles ### [MongoDB.local NYC 2025: Definire il database ideale per l'era dell'AI](https://yomu.fyi/post/mongodb-local-nyc-2025-definire-il-database-ideale-per-l-era-dell-ai.md) - Company: [MongoDB](https://yomu.fyi/company/mongodb.md) - Author: Dev Ittycheria, President and CEO, MongoDB - Published: Sep 18, 2025 - Type: Announcement MongoDB announced several product releases and platform updates aimed at supporting artificial intelligence and agentic workflows at MongoDB.local NYC. The release of MongoDB 8.2 arrives alongside integrations with Voyage AI embedding and reranker models designed to enhance data retrieval precision. In addition, MongoDB launched Search and Vector Search in public preview for both Community Edition and Enterprise Server deployments, bringing vector capabilities to self-managed environments. To assist organizations transitioning away from rigid legacy database systems, MongoDB also introduced the Application Modernization Platform, which combines AI-driven tooling and specialized migration expertise. Early benchmarks from the modernization platform demonstrate legacy migrations running two to three times faster while accelerating code rewriting tasks by an order of magnitude. ### [Celebrating Excellence: MongoDB Global Partner Awards 2025](https://yomu.fyi/post/celebrating-excellence-mongodb-global-partner-awards-2025.md) - Company: [MongoDB](https://yomu.fyi/company/mongodb.md) - Author: Olivier Zieleniecki - Published: Sep 18, 2025 - Type: Announcement MongoDB announced the recipients of its 2025 Global Partner Awards, recognizing cloud providers, systems integrators, and technology vendors for driving enterprise modernization and artificial intelligence adoption. Microsoft earned Global Cloud Partner of the Year for joint integrations linking MongoDB Atlas on Azure with native Microsoft services across healthcare, telecommunications, and financial services. Amazon Web Services received the Global AI Cloud Partner award, highlighted by a joint deployment with Novo Nordisk that reduced a key workflow from twelve weeks to ten minutes using Amazon Bedrock and Atlas. Confluent was named Global Tech Partner of the Year with over 550 joint customer deployments focused on event-driven streaming and multi-agent systems alongside LangChain. Additional honorees included Google Cloud, Accenture, BigID, Pureinsights, gravity9, IBM, and Alibaba Cloud for their contributions across public sector solutions, database-as-a-service offerings, and generative AI frameworks. ### [庆祝卓越：MongoDB 全球合作伙伴奖 2025](https://yomu.fyi/post/mongodb-2025.md) - Company: [MongoDB](https://yomu.fyi/company/mongodb.md) - Author: Olivier Zieleniecki - Published: Sep 18, 2025 - Type: Announcement MongoDB announced its 2025 Global Partner Award recipients to recognize organizations driving AI adoption, legacy system modernization, and collaborative market expansion. Microsoft earned Global Cloud Partner for Azure integrations, while Amazon Web Services took Global AI Cloud Partner after assisting Novo Nordisk in cutting a key workflow from twelve weeks to ten minutes with Amazon Bedrock. Google Cloud received the Global Cloud GTM Partner award, and Confluent was named Global Technology Partner with over 550 joint deployments. LangChain and Pureinsights received honors for their integrations supporting retrieval-augmented generation and search solutions. Additional awards celebrated Accenture, BigID, gravity9, IBM, and Alibaba Cloud for their enterprise and public-sector impact. ### [우수성을 기념하기: 2025년 MongoDB 글로벌 파트너 어워드](https://yomu.fyi/post/2025-mongodb.md) - Company: [MongoDB](https://yomu.fyi/company/mongodb.md) - Author: Olivier Zieleniecki - Published: Sep 18, 2025 - Type: Announcement MongoDB announced the recipients of its 2025 Global Partner Awards to recognize partner contributions across cloud modernization, artificial intelligence, and enterprise integration. Microsoft received the Global Cloud Partner award for Azure integrations, while Amazon Web Services secured the Global AI Cloud Partner award following joint generative AI implementations such as reducing workflow durations for Novo Nordisk. Google Cloud earned the Global Cloud GTM Partner distinction through shared sales development programs, and Accenture took Global SI Partner honors after establishing a dedicated engineering Center of Excellence. Confluent was named Global Tech Partner with more than 550 joint streaming deployments, and LangChain was recognized as Global AI Tech Partner for vector search and agentic frameworks. The awards demonstrate partner-led technical solutions spanning distributed databases, data streaming pipelines, and scalable enterprise cloud architectures. ### [Celebrando la Excelencia: Premios Globales de Emparejar de MongoDB 2025](https://yomu.fyi/post/celebrando-la-excelencia-premios-globales-de-emparejar-de-mongodb-2025.md) - Company: [MongoDB](https://yomu.fyi/company/mongodb.md) - Author: Olivier Zieleniecki - Published: Sep 18, 2025 - Type: Announcement MongoDB presented its 2025 Global Partner Awards to honor partner organizations across cloud infrastructure, systems integration, generative AI, and enterprise data management. Microsoft received the Global Cloud Partner award for joint go-to-market solutions integrating MongoDB Atlas with native Azure services across healthcare, telecommunications, and financial services. Amazon Web Services earned the Global AI Cloud Partner award after delivering an Amazon Bedrock and MongoDB Atlas workflow implementation for Novo Nordisk that reduced processing time from twelve weeks to ten minutes. Confluent was recognized as Global Technology Partner for exceeding 550 joint deployments leveraging Apache Kafka for real-time data streaming and event-driven AI architectures. Other honored partners include Google Cloud for joint sales development programs, Accenture for software engineering centers of excellence, LangChain for retrieval-augmented generation tooling, and IBM for Watsonx.ai integrations. ### [Hommage à l’excellence : MongoDB Global Partner Awards 2025](https://yomu.fyi/post/hommage-a-l-excellence-mongodb-global-partner-awards-2025.md) - Company: [MongoDB](https://yomu.fyi/company/mongodb.md) - Author: Olivier Zieleniecki - Published: Sep 18, 2025 - Type: Announcement MongoDB announced the recipients of its 2025 Global Partner Awards, recognizing enterprise collaboration across cloud infrastructure, artificial intelligence, and systems modernization. Microsoft received the Global Cloud Partner award for joint integrations with Azure, while Amazon Web Services earned the Global AI Cloud Partner award following deployments combining Amazon Bedrock and MongoDB Atlas. Google Cloud was recognized for joint go-to-market initiatives, and Accenture received honours for establishing a dedicated MongoDB Center of Excellence within its software engineering division. Additional recognitions included Confluent for event-driven streaming deployments exceeding 550 customer implementations, BigID for data governance, gravity9 for modernization services, and Alibaba Cloud for managed database services. IBM and Accenture Federal Services were also acknowledged for strategic enterprise impact across mainframe architectures and public sector programs. ### [Navigating The AI Revolution: The Importance Of Adaptation](https://yomu.fyi/post/navigating-the-ai-revolution-the-importance-of-adaptation.md) - Company: [MongoDB](https://yomu.fyi/company/mongodb.md) - Published: Jun 4, 2025 - Type: Problem & solution A TDWI survey conducted with MongoDB and Capgemini found that only 11% of companies have AI applications in production, despite widespread recognition of AI’s value. The report identifies data readiness challenges including managing diverse data types, ensuring accessibility, and providing sufficient compute power, with less than half of companies managing newer data formats and only 41% feeling they have enough compute. The post argues that AI applications are dynamic, continuously adapting and learning from user behavior, requiring a flexible data foundation unlike traditional static software. MongoDB positions its modern database solutions as essential, citing examples like Lombard Odier’s modernization with generative AI tooling and Victoria’s Secret’s AI-powered visual search using MongoDB Atlas Vector Search. The post concludes that organizations must modernize their tech stacks and execution to keep pace with AI-driven change, or risk being left behind. ### [MongoDB 8.0: Raising The Bar](https://yomu.fyi/post/mongodb-8-0-raising-the-bar.md) - Company: [MongoDB](https://yomu.fyi/company/mongodb.md) - Published: Oct 2, 2024 - Type: Announcement MongoDB 8.0, the latest version of the document database, is now generally available, delivering significant performance and security improvements. The release features 36% better read throughput, 56% faster bulk writes, 20% faster concurrent writes during data replication, and 200% faster complex aggregations of time series data. MongoDB’s internal build system, which runs on MongoDB, saw query latencies drop by approximately 75% after upgrading. The company also reports that customer OCELL experienced queries running twice as fast. MongoDB 8.0 includes sharding enhancements for up to 50 times faster data distribution, quantized vectors that reduce memory usage by up to 96%, and expanded Queryable Encryption to support range queries. The release is available via MongoDB Atlas, MongoDB Enterprise Advanced, and MongoDB Community Edition. ### [Go From 0 To 1 To Enterprise-Ready With MongoDB Atlas And LLMs](https://yomu.fyi/post/go-from-0-to-1-to-enterprise-ready-with-mongodb-atlas-and-llms.md) - Company: [MongoDB](https://yomu.fyi/company/mongodb.md) - Published: Jun 22, 2023 - Type: Explainer Generative AI applications require grounding in up-to-date operational data to avoid incorrect or uninformed answers, yet moving from prototype to enterprise-ready production is a significant challenge. MongoDB Atlas unifies operational, analytical, and vector search data services, enabling developers to provide long-term memory to large language models without costly fine-tuning. The post presents five resources for integrating MongoDB Atlas with LLMs, including tutorials for Atlas Vector Search with OpenAI, LlamaIndex, LangChain, MindsDB, and HuggingFace. These integrations support semantic search, chat applications with proprietary data, prediction generation, and automated reactions to data changes via serverless triggers. MongoDB Atlas offers a flexible document model, high performance, and scalability, validated by enterprises, to accelerate building production-ready generative AI applications. ### [Enhancing Atlas Online Archive With Data Expiration And Scheduled Archiving](https://yomu.fyi/post/enhancing-atlas-online-archive-with-data-expiration-and-scheduled-arch.md) - Company: [MongoDB](https://yomu.fyi/company/mongodb.md) - Published: Jun 7, 2022 - Type: Announcement Atlas Online Archive moves infrequently accessed data from a cluster to a MongoDB-managed object store while enabling unified queries across both tiers. A new data expiration feature lets users set a deletion threshold for archived data, configurable from 7 to 9,125 days through the Atlas UI or Admin API, and rules can be edited after creation; previously, the only way to remove data was deleting the entire archive. Once data is deleted from the archive, it cannot be recovered, so rules must be defined carefully. Scheduled archiving addresses performance concerns by allowing users to define a recurring window—daily, weekly, or monthly—with a minimum duration of two hours, replacing the previous five-minute interval that could overload clusters during peak times. Users can edit the archive rule to specify both when to archive and when to delete, and both features are in preview to improve operational efficiency for Atlas customers. [Newer posts](https://yomu.fyi/company/mongodb/page/5.md)