If you’ve worked with Postgres in today’s AI-driven world, you may have noticed its search and analytics capabilities can sometimes lag behind modern demands. ParadeDB steps in to change that by embedding full-text search and analytics right within Postgres—no more juggling multiple systems.
Co-founded by Philippe Noël and CTO Ming Ying, the idea for ParadeDB emerged from the real challenges they encountered at their previous startup, Whist. Philippe pointed out that while Postgres is quickly becoming the go-to database, its search options haven’t kept pace. Traditionally, users had to shuttle data between Postgres and systems like Elasticsearch, often running into issues with compatibility, latency, and extra costs.
Since its 2023 launch, the open-source version of ParadeDB has already started turning heads. E-commerce giant Alibaba was quick to hop on board in 2024, setting the stage for an enterprise version that now counts Modern Treasury and Bilt Rewards among its clients. This early traction helped secure a $12 million Series A funding round led by Craft Ventures, with backing from Y Combinator.
If you’ve ever wrestled with the pitfalls of transferring data between platforms, you’ll appreciate how ParadeDB plugs directly into major cloud services like Google Cloud SQL, Azure Postgres, and Amazon RDS. This means your data stays where you need it, and your search operations run smoother than ever.
Meanwhile, as big players like Snowflake and Databricks expand their Postgres offerings, the momentum behind Postgres continues to build. ParadeDB is perfectly positioned to capture market share from entrenched solutions like Elasticsearch, marking a clear, practical step forward for anyone relying on Postgres.
