Showing archive results for 2026

The first few minutes of a new AI project often feel productive. Create a chat endpoint, connect a model, send a prompt, and display the answer. Then the real questions arrive. Where should the agent store memory? How do we keep one customer's data away from another? How do we trace the source of an answer? What happens when an action require...

You own the account, wrote the application, and would be the one fixing it if something broke. So role-based access control (RBAC) can sound like an answer to a problem you do not have: managing other people. You do not need RBAC for your app to function; account keys still work while key-based authentication is enabled. But for a live Azure Cos...

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 ...

You can now open Azure Cosmos DB Shell directly from Data Explorer in the Azure portal. The shell gives you a terminal-style way to work with Azure Cosmos DB. You can move through databases and containers as you would through folders, run NoSQL queries, inspect resources, and update data. When you launch it from Data Explorer, it is already conn...

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...