CrateDB

Distributed SQL database for real-time analytics, full-text search, and vector queries. Combines analytics, search, and AI workloads in a single PostgreSQL-compatible engine without pre-aggregation or schema rewrites. Built on Lucene, it ingests high-velocity streams and makes data queryable in milliseconds across time series, JSON, geospatial, and vector data.

Used by enterprises such as Bitmovin for video encoding analytics, TGW Logistics for sensor-driven distribution centers, and mining operations for predictive maintenance. CrateDB stands out by unifying what typically requires separate systems: complex SQL aggregations, full-text search, and semantic vector search through a single distributed engine. High-cardinality dimensions, like device, tenant, or region, can be queried without performance penalties.

Key capabilities:

• Single SQL engine for time series, JSON, full-text, geospatial, and vector data
• Real-time ingestion with automatic indexing and built-in replication
• PostgreSQL wire protocol for compatibility with Grafana, Tableau, and BI tools
• LangChain and AI integration with native vector store for embeddings
• Self-managed, cloud, or edge deployment with horizontal scaling

Common applications: IoT and machine data pipelines, live dashboards over billions of events, streaming analytics for manufacturing and logistics. Teams use it to run ad-hoc joins and aggregations across large datasets, power semantic search for AI retrieval, and feed feature stores without maintaining separate analytical and search stacks.