Showing category results for Azure Cosmos DB for NoSQL

Security and reliability are at the core of modern cloud applications. To strengthen data protection and align with industry best practices, we encourage all Azure Cosmos DB customers to transition to TLS 1.2. This post explains why this change is important, how to make the transition, and the benefits it brings to your applications. Why Move to T...

In the short amount of time since we unveiled DocumentDB, our open-source document database platform powering the vCore based Azure Cosmos DB for MongoDB, and the feedback has been nothing short of phenomenal. In this short time, we've received a lot of attention from tech media and community members alike. Rapid Community Adoption Developers and...

Introduction Azure Cosmos DB for MongoDB provides robust support through its Request Units (RU) model and vCore-based architecture, enabling flexible and scalable options for various workloads. We are now on a mission to deliver the ultimate developer experience. To achieve this, we have integrated Azure Cosmos DB for MongoDB support into the Azur...

There are lot of benefits to using Docker containers in CI/CD pipelines, especially for stateful systems like databases. For example, when you run integration tests, each CI job can start the database in an isolated container with a clean state, preventing conflicts between tests. This results in a testing environment that is reliable, consistent, ...

JanusGraph is a high-performance graph database that offers flexibility in choosing storage backends. Apache Cassandra is a distributed NoSQL database known for its scalability and fault tolerance. Combining these two technologies can create a robust and efficient graph database solution. You can use the Azure Managed Instance for Apache Cassan...

Ever since our first preview announcement for vector indexing and support for DiskANN and then again when we announced the GA for these features, customers have been asking us to make it easier to generate Azure OpenAI embeddings on their data in Azure Cosmos DB. So we did just that and created the Azure Cosmos DB Embeddings Generator sample app...

Azure Cosmos DB was named by Bloomberg as the no. 1 Database of choice for Retrieval Augmented Generation (RAG) and Large Language Model (LLM) customization. It is used by OpenAI to scale it’s ChatGPT service, and by many thousands of customers worldwide, serving billions of end-users with globally distributed apps at planet scale. In this blog ...

We’re continuing to simplify AI app development by integrating Azure Cosmos DB’s cost-effective and scalable vector search directly with Spring AI and LangChain4J! These frameworks empower Java developers to efficiently manage fast and accurate data retrieval with Azure Cosmos DB’s scalability and efficient vector indexing and search capabilities, ...

The Microsoft Fabric API for GraphQL™ provides a data access layer that enables you to query multiple data sources quickly and efficiently using a widely adopted and familiar API technology. This API abstracts the specifics of backend data sources, allowing you to focus on your application's logic and deliver all the data a client needs in a single...

We are excited to announce the preview release of the new Linux-based Azure Cosmos DB Emulator! This latest version is built to provide faster startup times and broader platform compatibility, addressing one of the most requested features in the Azure Cosmos DB User Voice community. The emulator can now seamlessly run on Apple silicon and Microsoft...