Search without a second system.
One Postgres for your application data, full-text search, vector retrieval, and aggregations.
You want better search, not the burden of Elasticsearch.
ParadeDB is the modern Elasticsearch alternative built as a Postgres extension. It adds full-text search, vector retrieval, and aggregations directly to PostgreSQL — no second system required.
Because ParadeDB is just Postgres, it can run as a logical replica of any managed Postgres instance or be installed within any self-hosted Postgres cluster. No new infrastructure, no sync pipelines, no eventual consistency.
Companies use ParadeDB to replace Elasticsearch, OpenSearch, and custom search stacks while keeping Postgres as their system of record. Explore customer stories to learn more.
We welcome contributions of all kinds — code, docs, bug reports, and feature discussions. Start by visiting paradedb/paradedb on GitHub. If you're planning a larger contribution, we recommend opening a discussion first and joining our Community Slack.
Join the ParadeDB community to ask questions, share ideas, and help shape the roadmap.
- Slack — Chat with the team and community
- GitHub Discussions — Ask questions and share ideas
- Blog — Engineering deep-dives and announcements
- X / Twitter — Follow for updates
Want to work on Postgres internals, search engines, and distributed systems? Reach out at hello@paradedb.com with your resume or GitHub profile.
For sales, partnerships, sponsorships, or media inquiries, email us at hello@paradedb.com.
