This tutorial shows how common Elasticsearch search requests can be expressed using Azure Cosmos DB query patterns. Some Elasticsearch capabilities map directly to Cosmos DB full-text search functions, while others require separate queries or application-layer handling. Each step shows the closest Cosmos DB pattern and explains what changes in the ...

This post focuses on one of the most important design tasks when migrating from Elasticsearch to Azure Cosmos DB: translating an Elasticsearch mapping into Azure Cosmos DB container configuration.  In Elasticsearch, a mapping defines how document fields are stored and indexed. Azure Cosmos DB is schema-agnostic, so there is no single mapping doc...

Azure Cosmos DB’s full-text search capabilities can improve price performance and simplify application architecture by consolidating operational data and search in a single service. For customers currently using Elasticsearch, these capabilities create a practical path to bringing operational data and search together in Azure Cosmos DB, particularl...