Database for AI/ML
that truly Scales
Adopt a worry-free database for your growing AI workloads.
CrateDB offers a robust scalable database that not only meets the requirements of your AI/ML data strategy but also unlocks new insights and copes with the huge AI workloads.
CrateDB is a database designed for AI/ML use cases. It offers efficient management of diverse data types and real-time data accessibility for continuous model training and prediction. It also maintains data consistency and security for cross-team collaboration, and gives the ability to scale to handle growing data volumes and workload. Whether in the cloud, on-premises or at the edge, CrateDB offers flexibility and efficiency for all AI and ML operations.
CrateDB easily integrates with your AI and analytics stack thanks to the support of the PostgreSQL Wire Protocol. Developers, Data Engineers, and Data Scientists can not only leverage Native SQL to use their favorite analysis and visualization tools, but also leverage drivers and libraries, e.g. Python, Java, Go, Scala, as well as 3rd party solutions.
"Working with CrateDB brings positive outcomes. The ingestion and throughput have very good performance, with 1 million values/sec, the horizontal scalability where we can add as many nodes as we need and the automatic query distribution across the whole cluster"
Lead, Digital Strategy and Business Development at ABB
"CrateDB is the only database that gives us the speed, scalability and ease of use to collect and aggregate measurements from hundreds of thousands of industrial sensors for real-time visibility into power, temperature, pressure, speed and torque."
Vice President, Energy Segment and Marketing at Gantner Instruments.