ParadeDB, Inc.
Provide simple, Elastic-quality search and analytics directly inside PostgreSQL, eliminating the need for separate systems like Elasticsearch.
At a Glance
- Software Engineering
- Data Infrastructure
- Enterprise AI
- DevOps
AI Tools by ParadeDB, Inc.
(1)ParadeDB
Postgres Native Search Extension
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Products & Services
An open-source, ACID-compliant search and analytics database built as a PostgreSQL extension.
Fully managed search and analytics service for PostgreSQL (currently in private beta).
Market Position
Positions itself as a simpler, Postgres-native alternative to Elasticsearch and Algolia, leveraging the 'Postgres for everything' movement.
Leadership
Founders
Philippe Noël
Co-founder & CEO. Previously co-founded Whist (cloud computing). Former software engineering intern at Microsoft. Harvard University graduate (CS & Economics '20).
Ming Ying
Co-founder & CTO. Previously co-founded Whist (COO/CTO). Senior at Harvard studying CS/Statistics. Coding since age ten.
Executive Team
Philippe Noël
CEO
Co-founder of ParadeDB and Whist. Harvard alum.
Ming Ying
CTO
Co-founder of ParadeDB and Whist. Harvard alum.
Board of Directors
Founding Story
The founders were frustrated with the limitations of PostgreSQL search while building their previous cloud-computing startup, Whist. They found that offloading data to external systems like Elasticsearch was complex and created data synchronization issues, leading them to build a native search extension for Postgres.
Business Model
Revenue Model
Open-core model with a free community edition, paid enterprise self-managed licenses, and a managed cloud subscription.
Pricing Tiers
Single node, community support, open-source.
Read replicas, high availability, dedicated support and SLA.
Fully managed service, one-click deployments (Private Beta).
Target Markets
- Software Engineering
- Data Infrastructure
- Enterprise AI
- DevOps
- Full-text search
- Vector/Hybrid search
- Real-time analytics
- Log analysis
- Replacing Elasticsearch workloads
- Bilt
- Alibaba