Hydra

Hydra is for developers and data teams using PostgreSQL who need to analyze growing volumes of application data without maintaining a separate analytics database or ETL pipeline. It combines Postgres transactional tables with column-oriented tables for analytics, so teams can use one database for application workloads and queries over events, logs, metrics, and time-series data. Hydra stores analytics tables in a columnar format and uses parallel, serverless processing for analytical queries, with compute isolated from transactional workloads. You can join analytics tables with standard Postgres tables using SQL and connect through Postgres-compatible clients and integrations. The dashboard includes a SQL editor, table and schema explorer, monitoring, backups, and database management features. Hydra may suit teams building real-time reporting, product analytics, or telemetry workflows on Postgres; analytics tables have some limitations compared with standard Postgres tables, including restrictions on indexes and certain database features.

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