ParadeDBPostgres for Search and Analytics

ParadeDB - Postgres for Search and Analytics

Introduction

ParadeDB is a modern Elasticsearch alternative built on Postgres, designed to deliver high-performance search and analytics capabilities.

Key Features

• Analytical Performance: Query billions of rows in milliseconds directly from Postgres.
• Data Compression: Column-oriented tables stored as Parquet files managed by Delta Lake, offering 5X data compression.
• Full Text Search: Search by keyword with BM25 scoring, configurable tokenizers, and multi-language support.
• Similarity Search: Search by semantic meaning with support for sparse and dense vectors.
• Hybrid Search: Combine full text and similarity search for higher accuracy results.
• Postgres Compatibility: Integrates with the Postgres ecosystem, including clients, extensions, and libraries.
• Real-Time Guarantees: Data is searchable immediately after insert.
• ACID Compliance: Reliable data store with concurrency controls across all transactions.

Use Cases

• Operational and Analytical Data Unification: Simplify your data stack with an all-in-one search and analytical database.
• Real-Time Analytics: Perform real-time data analysis with immediate searchability after data insertion.
• Enhanced Search Capabilities: Utilize full text, similarity, and hybrid search for comprehensive data retrieval.
• Data Compression and Storage: Efficiently store and manage large datasets with column-oriented storage and data compression.

Pricing

ParadeDB offers a range of pricing options to suit different needs, from individual developers to large enterprises. Contact us for detailed pricing information and to join our cloud waitlist.

Teams

ParadeDB is developed in public and welcomes community contributions. Built in Rust, it leverages modern technologies to provide robust search and analytics solutions. Our team is dedicated to integrating seamlessly with the Postgres ecosystem and ensuring high performance and reliability.

Join the ParadeDB community and transform your data search and analytics capabilities with the power of Postgres.