Scale Your Database Workloads with Multishard Clusters in vCore-based Azure Cosmos DB for MongoDB
We’re excited to introduce significant enhancements to vCore-based Azure Cosmos DB for MongoDB with the release of multishard clusters preview, designed to take scalability and performance to the next level. This update brings several new capabilities that address the needs of demanding database workloads, making it easier than ever to manage large datasets and handle high-throughput […]
The post Scale Your Database Workloads with Multishard Clusters in vCore-based Azure Cosmos DB for MongoDB appeared first on Azure Cosmos DB Blog.
Published on:
Learn moreRelated posts
Introducing Azure HorizonDB - PostgreSQL
Run enterprise Postgres workloads on Azure HorizonDB with around 3x the throughput of self-managed deployments — zone-resilient by default, no...
Azure DevOps and GitHub: Journeying into the AI Era
AI is changing how software gets planned, built, and reviewed. As teams adopt agentic development, the platform underneath those workflows mat...
Introducing azure-functions-skills: An AI-Era Workspace for Azure Functions (Preview)
azure-functions-skills gives GitHub Copilot CLI, Claude Code, Codex CLI, and VS Code the skills, MCP configuration, hooks, and instructions ne...
Announcing the Public Preview of Integrated Embeddings in Azure Cosmos DB: Build AI Apps With Embeddings That Stay in Sync
AI applications built on Azure Cosmos DB depend on embeddings for grounded results. Keeping them in sync with your data is the hard part: it m...
Introducing OmniVec: An Open-Source Embedding Platform for AI Apps on Azure
Today we are open-sourcing OmniVec, a platform for building and operating the embedding pipelines that keep the vector representation of your ...