ParadeDB

ParadeDB is a modern Elasticsearch alternative built on Postgres. Built for real-time, update-heavy workloads.

Make Postgres as powerful as Elastic

By transforming Postgres into a performant search and analytics engine, ParadeDB frees your team from the pain of scaling and syncing Elasticsearch.

• Search: Supercharge Postgres' search capabilities with BM25 scoring, custom tokenizers, hybrid search, and more.
• Analytics: Enrich your search results with support for fast analytics and faceting.

Simplify and strengthen your data stack

• Reduced overhead: Eliminate complex sync tools like ETL, Kafka, and Debezium. With ParadeDB, you can just use Postgres.
• Zero data loss: Never lose data again because of a broken sync with Elastic. ParadeDB uses native Postgres indexes that always stay up to date.
• ACID guarantees: Postgres ACID transactions guarantee that data is searchable immediately after a successful write.
• Automatic cleanup: Never worry about cleaning up stale Elastic indexes. ParadeDB search indexes integrate with Postgres' vacuum process.
• Reliable data store: First class support for backups, high availability and disaster recovery through Postgres.
• Postgres dialect: Write queries using Postgres SQL. No need to wrangle with an unfamiliar query language.

Integrates with your existing infra

ParadeDB integrates with managed Postgres services and data lakes using native Postgres replication and APIs. Zero ETL required.

• RDS Compatible: ParadeDB uses logical replication to consume data from Amazon RDS, Azure Postgres and Google Cloud SQL.
• S3 Compatible: ParadeDB can directly query and ingest data from S3, GCS, and Azure Blob Storage.