CrateDB

About CrateDB

A scalable SQL database that combines the familiarity of SQL with the scalability of NoSQL. CrateDB is optimized for machine data and IoT workloads, offering real-time analytics on large volumes of data with a distributed architecture.

Key Features

• 1Distributed SQL database optimized for time-series and IoT data
• 2PostgreSQL-compatible wire protocol works with standard Python drivers
• 3Sharding and replication built in for horizontal scalability
• 4Full-text search via Lucene integration alongside SQL queries
• 5Dynamic columns and object arrays for flexible schema evolution

How Python Data Engineers Use CrateDB

Python data engineers use `crate` or `sqlalchemy-cratedb` to connect to CrateDB clusters. CrateDB is used when pipelines need to store and query large volumes of machine-generated or IoT time-series data with SQL — engineers ingest sensor readings at high write throughput and query aggregations across millions of rows with standard SQL syntax.