ParadeDB is a powerful alternative to Elasticsearch, leveraging the robustness of Postgres to deliver real-time search and analytics capabilities. It modernizes data retrieval and analysis with features like full-text and vector searches, designed for high-performance applications across various data environments.
Full-text search utilizing BM25 ranking
Dense and sparse vector search capabilities
Distributed search functionality for scalability
Fast analytics over diverse data lake formats
Column-oriented access methods for improved performance
Deployment options via Docker and Kubernetes
Comprehensive support for PostgreSQL versions 13 and above