1 min read
Azure Cosmos DB for AI Applications: Vector Search and Change Feed Patterns
Use Change Feed to trigger embedding generation and synchronization with other AI services automatically when documents are created or updated.
NoSQL
15 articles
1 min read
Cosmos DB Vector Search: Implementing Semantic Search at Global Scale
Configure your Cosmos account with write regions near your users and read replicas globally. Vector searches automatically route to the nearest replica…
1 min read
Cosmos DB Mirroring to Fabric: Analytical Queries at Scale
Unlike SQL mirroring which uses change tracking, Cosmos DB mirroring leverages the built in analytical store: 1. Go to your Cosmos DB account 2. Navigate to…
1 min read
Azure Cosmos DB Best Practices for 2022
The partition key decision is crucial and difficult to change later: New in 2022 partition up to 3 levels: Optimize indexing for your query patterns: Write…
1 min read
Azure Cosmos DB for Apache Gremlin
Graph databases excel at representing relationships between entities. Unlike relational databases where joins can become expensive, graph databases traverse…
1 min read
Azure Cosmos DB for Apache Cassandra
Azure Cosmos DB for Apache Cassandra bridges the gap between familiar Cassandra development and cloud-native scalability.
1 min read
Azure Cosmos DB API for MongoDB: Patterns and Best Practices
Azure Cosmos DB's MongoDB API provides a powerful option for teams wanting MongoDB compatibility with Azure's enterprise-grade platform.
1 min read
Azure Cosmos DB Updates - September 2022
The latest updates bring significant performance enhancements to Cosmos DB, including optimized query execution and improved throughput management.
1 min read
Time-To-Live (TTL) in Azure Cosmos DB: Automatic Data Expiration
TTL is a powerful feature for automatic data lifecycle management, reducing storage costs and ensuring compliance with data retention policies without…
1 min read
Understanding Cosmos DB Consistency Levels: Tradeoffs and Best Practices
Consistency levels in Cosmos DB give you fine-grained control over the CAP theorem tradeoffs, enabling you to optimize for your specific application…
1 min read
Azure Cosmos DB Partition Strategies for Optimal Performance
Proper partition key design is fundamental to Cosmos DB success. Take time to analyze your access patterns and data distribution before finalizing your…
2 min read
Azure Cosmos DB Serverless - Pay Per Request Database
We had a Cosmos DB Serverless conversation at the end of 2020 and I'm returning to it because the experience of using it in actual development over two…
1 min read
Azure Cosmos DB Serverless: Pay-Per-Request NoSQL
Cosmos DB Serverless: NoSQL without the commitment.
1 min read
Azure Cosmos DB Partitioning Strategies
Of every Cosmos DB design conversation I've had, partition key choice is the one that has the biggest cost-and-performance consequence and the smallest…
8 min read
Moving to the Azure Cosmos DB .NET SDK v3: Patterns I Keep
What changed from the v2 DocumentClient to the Cosmos DB .NET SDK v3, and the client, query, batch and bulk patterns I reuse after migrating.