Showing category results for Azure Cosmos DB for NoSQL

When you change a database-backed feature, a successful HTTP response isn't enough. You need to know that the write reached storage, the application retrieved the updated record, and the next answer reflects it. The Azure Cosmos DB Emulator runs locally in Docker and lets us use the SDK we'll use in production. We'll develop against it first, th...

In our previous post, we introduced the private preview of Safe Key Rotation, a feature that helps Azure Cosmos DB customers avoid service disruptions during key rotations. By showing when each account key was last used, it helps teams make informed decisions before rotating keys or moving to Entra ID. This capability addresses a common chal...

This tutorial shows how common Elasticsearch search requests can be expressed using Azure Cosmos DB query patterns. Some Elasticsearch capabilities map directly to Cosmos DB full-text search functions, while others require separate queries or application-layer handling. Each step shows the closest Cosmos DB pattern and explains what changes in the ...

This article was authored by Justin Liu, co-founder and chief architect, Genspark. The work does not end when the prompt does A user comes to Genspark with a goal: research a market, build a presentation, produce a report, analyze a dataset, or complete another complex assignment. Our agents take it from there, working across tools, sources, and ...

This post focuses on one of the most important design tasks when migrating from Elasticsearch to Azure Cosmos DB: translating an Elasticsearch mapping into Azure Cosmos DB container configuration.  In Elasticsearch, a mapping defines how document fields are stored and indexed. Azure Cosmos DB is schema-agnostic, so there is no single mapping doc...

Azure Cosmos DB’s full-text search capabilities can improve price performance and simplify application architecture by consolidating operational data and search in a single service. For customers currently using Elasticsearch, these capabilities create a practical path to bringing operational data and search together in Azure Cosmos DB, particularl...

Azure Cosmos DB mirroring in Microsoft Fabric now offers a simpler way to connect accounts secured by private endpoints or virtual networks. A virtual network data gateway provisioned inside your own virtual network keeps public network access disabled throughout setup and ongoing replication. This release builds on the general availability of p...

Azure Cosmos DB support in Fabric Database Hub is now available in public preview. For the first time, Azure Cosmos DB customers can discover and monitor their accounts from Database Hub alongside other Microsoft database engines. Database Hub provides a single place to view every Azure Cosmos DB account you can access, compare health and per...

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...