ParadeDB: Advanced Search and Analytics on Postgres icon

ParadeDB: Advanced Search and Analytics on Postgres

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.

Features

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

Repository Details

6,273
190
Updated: 11/30/2024

Languages

Rust
PLpgSQL
Dockerfile
Shell

Topics

elasticsearch
sparse-vector
hybrid-search
database
bm25
full-text-search
analytics
olap
htap
big-data
sql
real-time-analytics
aggregations
datalake
object-storage
similarity-search
mpp
lakehouse-platform
postgresql
iceberg

License

GNU Affero General Public License v3.0