Showing tag results for Azure Cosmos DB

Microsoft Ignite 2025 is your opportunity to explore how Azure Cosmos DB, Cosmos DB in Microsoft Fabric, and DocumentDB power the next generation of intelligent, planet-scale applications. Whether you’re building real-time analytics pipelines, optimizing MongoDB-compatible workloads, or implementing AI-driven architectures, these technologies a...

Azure Cosmos DB’s geospatial capabilities just got even better! We're excited to announce that you can now sort query results by distance using an ORDER BY ST_DISTANCE(...) clause in the NoSQL query language while leveraging a spatial index. Why is this important? Previously, you could use ST_DISTANCE in projections or WHERE clauses to fi...

Azure Cosmos DB for NoSQL now features Query Advisor, designed to help you write faster and more efficient queries. Whether you’re optimizing for performance, cost, or scalability, Query Advisor provides actionable recommendations to help you get the most out of your data. Why Query Optimization Matters Azure Cosmos DB’s SQL API is flexible and e...

Unlock 360° Success with the Cosmos DB Engineering Team Are you ready to elevate your cloud data practice and drive innovation for your customers? The Azure Cosmos DB Partner Acceleration Program—spearheaded by the Cosmos DB Engineering Team—offers a unique, end-to-end journey for partners. This initiative is designed to empower, upskill, and acce...

Azure Cosmos DB is Microsoft’s globally distributed, multi-model database service, trusted for mission-critical workloads that demand high availability, scalability, and low latency. In this post we will discover how to maximize the full potential of Azure Cosmos DB using Azure Advisor recommendations to help you build smarter, faster, and more sec...

Azure Managed Instance for Apache Cassandra Upgrade to Cassandra v5.0 is now generally available, bringing a host of powerful new features and performance improvements to your cloud-native applications. This release marks a significant milestone for developers and data platform teams looking to modernize their distributed data infrastructure. ...

Local large language models (LLMs) provide significant advantages for developers and organizations. Key benefits include enhanced data privacy, as sensitive information remains entirely within your own infrastructure, and offline functionality, enabling uninterrupted work even without internet access. While cloud-based LLM services are convenient, ...

Multi-tenant applications face a fundamental challenge: how to efficiently store and query data for tenants of vastly different sizes? Consider the typical scenario where your platform serves both enterprise clients with hundreds of thousands of users, as well as small businesses with just a handful. With traditional database partitioning strategie...

Integration testing has always presented a fundamental challenge: how do you test your application against real dependencies without the complexity of managing external services? Traditional approaches often involve either mocking dependencies (which can miss integration issues) or maintaining separate test environments (which can be expensive and ...

When building applications that interact with databases, developers frequently encounter scenarios where default SDK configurations don't align with their specific operational requirements. They need to customize SDK behavior to address real-world challenges like network instability, performance bottlenecks, debugging complexity, monitoring require...