Showing tag results for Performance

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...

Introduction In the first part of our series on Azure Cosmos DB Vector Search with DiskANN, we explored the fundamentals of vector indexing and search capabilities using Azure Cosmos DB for NoSQL and demonstrated a few early performance and cost characteristics. In Part 2, we’ll demonstrate how to scale to 1 billion vector datasets, while maintain...

The authors wish to thank Govind Kanshi (Principal PM Manager), Abinav Rameesh (Principal PM Manager), Kushagra Thapar (Principal Engineering Manager), Annie Liang (Sr. Software Engineer) and Faiz Chachiya (Sr. Cloud Solution Architect, CSU) for their valuable insights, and contributions during the Proof-of-Concept (PoC). Introduction  Azure Cosm...

Overview Azure Cosmos DB Kafka connector had been updated recently and several new features were delivered as part of the v1.6.0 release based on the feedback and requirements of several customers implementing it as part of their application modernization journey. In this blog post – I will share details about those improvements and introduce you ...