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Full-text search engine with PostgreSQL (part 2): Postgres vs Elasticsearch

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Using PostgreSQL as a full-text search engine is tempting because it requires less infrastructure. But is its set of search-related features enough to compete with the Lucene based alternatives? Written by Tudor Golubenco Published on July 18, 2023 In Part 1, we delved into the capabilities of PostgreSQL's full-text search and explored how advanced search features such as relevancy boosters, typo-tolerance, and faceted search can be implemented. In this part, we'll compare it with Elasticsearch. Hey there, you are on the Xata engineering blog. Xata is a serverless data platform that makes building on top of PostgreSQL and Elasticsearch really easy. Sign up today! First, let's note that Postgres and Elasticsearch are generally not in competition with each other. In fact, it's very common to see them together in architecture diagrams, often in a configuration like this: In this architecture, the source of truth for the data lives in Postgres, which serves the transactional CRUD operation

Back to Blog Full-text search engine with PostgreSQL (part 2): Postgres vs Elasticsearch Using PostgreSQL as a full-text search engine is tempting because it requires less infrastructure. But is its set of search-related features enough to compete with the Lucene based alternatives? By: Tudor Golubenco Published: Jul 19, 2023 Reading time: 11 min read Back to Blog Tags PostgreSQL Open source Featured A thousand Postgres branches for $1 Inside Xatastor: ZFS + NVMe-oF for Postgres databases Introducing Xata OSS: Postgres platform with branching In Part 1, we delved into the capabilities of Postg

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