Elasticsearch Indices: Flexible Data Storage and Search

AI Impact Summary

Elasticsearch is introducing its index concept, explaining it as a logical namespace for storing documents. This contrasts with relational databases, where data is structured in tables with predefined schemas. Elasticsearch offers flexible storage, efficient retrieval through indexing, and advanced search capabilities like fuzzy matching and vector search. The key difference lies in Elasticsearch's ability to store denormalized data, improving query performance, and its distributed architecture with sharding and replication for scalability.