PlanetScale introduced the Tin extension for full-text search in Postgres

Company PlanetScale released Tin — a new extension for PostgreSQL designed for implementing full-text search. The tool is focused on working with complex queries and provides high performance when processing large volumes of text data.

The main advantage of Tin is the support of fuzzy matching (fuzzy search), which allows finding results even in the presence of typos or variability in word writing. Developers claim that the extension's architecture is optimized for faster indexing and search compared to existing solutions such as ParadeDB or the standard pg_textsearch.

The extension integrates directly into the Postgres ecosystem, allowing search to be performed without the need to deploy external search engines like Elasticsearch or Meilisearch. This simplifies the infrastructure of applications that require complex text analytics and reduces latency when executing database queries.

The technical implementation of Tin is focused on minimizing overhead when performing search operations. The tool allows using familiar SQL syntax for managing indexes and forming search expressions, making it accessible to existing projects based on PostgreSQL.

The emergence of such solutions reflects the trend towards simplifying the technology stack for working with data. Using Tin allows developers to focus on application logic, delegating complex tasks of indexing and ranking text content to the database level itself. Details of the implementation and discussion of the architecture are available in the thread on Hacker News.