CrateDB enables high-cardinality IoT analytics, flexible JSON and search, edge-to-cloud IIoT, and unified machine-data observability in one distributed SQL engine.

CrateDB offers insights into distributed SQL database, IoT data management, and real-time analytics, providing documentation, tutorials, and best practices for deploying and scaling CrateDB in production environments. By exploring CrateDB's curated content, developers can learn about distributed query execution, data sharding, and replication strategies for building scalable and resilient database solutions. Whether you're collecting sensor data, analyzing log streams, or processing time-series events, CrateDB offers resources to handle high-volume, high-velocity data workloads and unlock the potential of distributed SQL databases.

CrateDB

Industrial IoT systems generate high-cardinality, high-dimensional machine data that traditional time-series databases cannot handle well. CrateDB positions itself as a unified distributed SQL engine that combines fast ingestion, flexible JSON support, full-text search, real-time aggregations, and edge-to-cloud deployment in a single system. This eliminates the need for separate time-series, search, and warehouse tools, simplifying architecture for industrial AI pipelines and unified machine-data observability.

Beyond Time-Series: High-Cardinality IoT Analytics & Unified Observability with CrateDB

The Real Problem: High-Cardinality, High-Dimensional IoT Data

Flexible JSON Meets SQL Aggregation and Search

Edge-to-Cloud IIoT: Designed for Distributed Reality