AI coding agents can write much of an application's code, but developers still need to review the decisions behind it. For a Cosmos DB application, that includes choosing partition keys, modeling access patterns, and configuring the client. Those decisions affect cost, performance, and reliability long after the code compiles. We've written before...

Building cross-cloud solutions with best-of-breed cloud-native databases means learning multiple SDKs, translating queries, handling different errors, and testing across providers. The Multicloud DB SDK for Java lets you share that work across Azure Cosmos DB, Amazon DynamoDB, and Google Cloud Spanner. You (or your coding agent) write CRUD and quer...

Move from a locally composed memory-enabled agent to a deployed Foundry Agent Service agent, with keyless Azure infrastructure and an interactive browser sample. In Native Agent Memory for Microsoft Agent Framework, Powered by Azure Cosmos DB, we introduced : a Microsoft Agent Framework context provider that extracts useful i...

Recently we introduced the Agent Memory Toolkit and the Agentic Retrieval Toolkit for Azure Cosmos DB. The Agent Memory Toolkit gives your agents durable, Cosmos-backed memory: it stores raw conversation turns and then distills them into higher-value derived memories (thread summaries, extracted facts, and cross-thread user profiles), all searchabl...

The wait is over. Spring AI 2.0 is generally available, and Azure Cosmos DB is right there with it. With this release, Spring AI graduates into a mature, production-ready framework for building AI applications in Java, and Azure Cosmos DB ships dedicated, vendor-maintained integrations that plug straight into the Spring AI ecosystem. The Spring AI...

Today, we're excited to announce the general availability of the Azure Cosmos DB built-in connector for Azure Logic Apps Standard. This connector gives you a native, high-performance way to integrate Azure Cosmos DB into your Standard logic app workflows, with better throughput, lower latency, and richer functionality than the managed connector. Th...

Azure Cosmos DB is engineered from the ground up to deliver high availability, low latency, throughput, and consistency guarantees for globally distributed applications. As mission-critical systems increasingly rely on Cosmos DB for performance at scale, understanding and configuring advanced high availability features becomes essential. Advance...

We're thrilled to announce the stable release of Azure Cosmos DB Python SDK version 4.14.0! This release brings together months of innovation and collaboration, featuring ground-breaking capabilities that have been battle-tested in production environments. Many of these features were developed in close partnership with OpenAI, who rely heavily on C...

Welcome to the latest roundup of key updates across the Azure Cosmos DB Java ecosystem! The largest external customers of Azure Cosmos DB API for NoSQL, running some of the biggest and most mission critical workloads in Azure, are primarily Java users! From powerful new AI integrations to improvements in the Java SDK, Spring Data, Spark, and Kafka...

As AI-driven apps become more sophisticated, there's an increasing need for them to mimic collaborative problem solving - like a team of domain experts working together. Multi-agent apps offer exactly that: collections of specialized agents that cooperate to handle complex tasks. But to make them production-grade, you need more than just clever pro...