Showing results for Query - Azure Cosmos DB Blog

We are excited to announce a significant enhancement to Azure Cosmos DB, bringing substantial cost savings and performance improvements to our users. The new binary encoding feature is now available for new containers and will soon be available for existing ones. What is Binary Encoding? Binary encoding converts JSON or other text-based data form...

Azure Synapse Link: Announcing support for existing Azure Cosmos DB containers and seamless Power BI integration.

In this blog, we'll take a look at tips for query pagination in Azure Cosmos DB. Pagination is the process of dividing a large volume of data across many small pages.

Discover best practices to help improve the read performance of Spring applications when using the new Spring Data Azure Cosmos DB v3 for Core (SQL) API.

You can now use the Azure Cosmos DB indexing metrics, now generally available, to optimize query performance! The indexing metrics show indexes that the query engine used and index recommendations for improving query performance.

Read on for Azure Cosmos DB updates at Microsoft Build 2021, including enhanced control, security, cost savings and speed.

You can now use composite indexes in Azure Cosmos DB to optimize additional cases of the most common inefficient queries! Anytime you have a slow or high RU query, you should first consider whether the query can be optimized with a composite index.

You can now use the LIKE keyword to do text searches in Azure Cosmos DB SQL (core) API! By including the LIKE keyword in a WHERE clause, you can search for specific string patterns.

This blog is the final part of a series of blogs where we’ll demystify commonly confused concepts for developers learning how to query data using Azure Cosmos DB. Today, we’ll walk through tips and tricks for querying arrays.

In this blog, we’ll cover how to add and remove indexes using the new indexing policy editor. We’ll also highlight the differences in best practices for indexing in Azure Cosmos DB’s API for MongoDB and native MongoDB.