Full Text Search over Postgres: Elasticsearch vs. Alternatives

In the quest for a full text search (FTS) solution over data in Postgres, companies often compare Elasticsearch and native Postgres FTS. Postgres FTS is simple, requires no additional infrastructure, and excels at real-time search but falls short in features and performance over large datasets. Conversely, Elasticsearch offers a comprehensive feature set and high performance but involves significant operational overhead and costs. Alternatives like Algolia, Meilisearch, and Typesense provide specialized solutions but aren't tailored for Postgres. A new contender, ParadeDB, aims to combine the benefits of both approaches by providing advanced FTS capabilities within Postgres.