ParadeDB — Search without a second system

# ParadeDB > ParadeDB is a transactional alternative to Elasticsearch built on Postgres. It is a PostgreSQL-native search and analytics engine - a columnstore index for OLAP and a BM25 inverted index for full-text search, all inside Postgres as an extension. ParadeDB makes Postgres fast for both analytics and search without ETL or external systems. ## Website - [Homepage](https://www.paradedb.com) - [Blog](https://www.paradedb.com/blog) - [Learn](https://www.paradedb.com/learn) - [Sitemap](https://www.paradedb.com/sitemap.xml) - [RSS Feed](https://www.paradedb.com/feed.xml) - [Content for LLMs (llms.txt)](https://www.paradedb.com/llms.txt) - [Full content for LLMs (llms-full.txt)](https://www.paradedb.com/llms-full.txt) - [MCP Server (streamable HTTP)](https://www.paradedb.com/mcp) > Append `.md` to any blog, customer, or learn URL (e.g. `https://www.paradedb.com/blog/<slug>.md`) to fetch its Markdown source. > An MCP server is available at `https://www.paradedb.com/mcp` (streamable HTTP) with tools to search and read this content. ## Blog - [Same Query, Three Results: Benchmarking ParadeDB and Postgres FTS](https://www.paradedb.com/blog/benchmarker-iteration) - [ParadeDB is Officially on Render](https://www.paradedb.com/blog/render) - [What We Think About When We Think About Benchmarking](https://www.paradedb.com/blog/what-we-think-about-when-we-think-about-benchmarking) - [ParadeDB is Officially on Railway](https://www.paradedb.com/blog/railway) - [A Conversation with Paul Masurel, Creator of Tantivy](https://www.paradedb.com/blog/tantivy-interview) - [How We Optimized Top K in Postgres](https://www.paradedb.com/blog/optimizing-top-k) - [Postgres as a Recommender Engine](https://www.paradedb.com/blog/personalized-search-in-postgresql) - [Postgres as a Search Engine: The Write Performance Problem](https://www.paradedb.com/blog/increased-write-performance) - [Teaching Postgres to Facet Like Elasticsearch](https://www.paradedb.com/blog/faceting) - [Deep Dive in