ParadeDB Bags $12 Million in Series A to Bring Elastic-Quality Search and Analytics to Postgres

Led by founders Philippe Noël and Ming Ying, ParadeDB announced a $12 million Series A round led by Craft Ventures and joined by existing investors, including Y Combinator. This brings the total capital raised to $14M and accelerates the mission to build a modern Elasticsearch alternative on Postgres.

ParadeDB’s Series A follows strong adoption by customers such as Alibaba Cloud, Bilt Rewards, Modern Treasury, UnifyGTM, and TCDI. These companies rely on Postgres as their source of truth, operate with high update volumes, and need Elastic-level search and analytics, without the complexity of ETL.

Postgres is surging in popularity, yet its native search and analytics capabilities lag. Many teams bolt on Elasticsearch to fill the gap, but it’s complex, costly, and error-prone for dynamic workloads. As demand grows for AI-ready, analytics-friendly databases, Postgres needs a modern solution built for high-performance search and insight, without the tradeoffs of external systems.

ParadeDB launched in 2023 and quickly became one of the fastest-growing Postgres projects. With features like columnar indexing and WAL integration, it offers Elastic-style search natively in Postgres. Enterprise users like Alibaba Cloud and Modern Treasury rely on it for reliable, real-time search without the pain of syncing with external engines.

ParadeDB is evolving Postgres into a first-class analytical engine to rival Elastic's performance. After building advanced text search with transactional consistency, the team is now rethinking file formats, query planning, and execution to accelerate analytical SQL queries. With deep expertise from Postgres veterans and engineers from MongoDB, Meta, and Google, ParadeDB is pushing Postgres to power real-time insights and dashboards at scale.