CrateDB Cloud
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CrateDB Cloud is a scalable SQL cloud service hosted on Azure and operated 24 x 7 by the experts at Crate.io. It is ideal for industrial time series data processing and other IoT and machine data analytic workloads.
With 10x better price-performance than other time series cloud databases, unlimited scaling, and plug & play Azure IoT integration, CrateDB makes it easy and economical to build IIoT systems on Azure.
Philipp Lehner“Tens of thousands of sensors generate data along our production lines, and CrateDB for Azure IoT allows us to analyze it to make real-time changes to factory efficiency.”
CEO USA
ALPLA, Inc.
Industrial Time Series Data
Industrial IoT is an extreme time series data use case. It is orders of magnitude larger in scale and complexity than other time series workloads, such as those found in IT systems monitoring.
Connected factories, energy networks, smart city infrastructure, and vehicle fleets generate a massive amount of complex time series data. It is common to see the following from large manufacturers:
- Millions of sensor readings per minute
- Data flowing from 100+ factories and 1000+ production lines
- 1000 different sensor message data structures
- 100+ terabytes of retained data
Time series databases like InfluxDB, and AWS Timestream were built for smaller IT monitoring, and cannot cope with industrial time series data requirements. CrateDB Cloud on Azure can.
Why People Choose CrateDB Cloud
Real-time query performance
Partitioning, parallel processing and in-memory columnar indexes enable real-time, complex analytics & AI, not just simple time series aggregates.
Azure IoT integration
Built-in interfaces to Azure IoT Hub, Postgres wire protocol, JDBC, REST
Scales without limits
Elastic scaling, partitioning, sharding, replication for fast, always-on performance.
Complex time series data
Elegant JSON handling and Dynamic Schema. Automatically adapts schema to new JSON structures.
Fully managed cloud service
Secured, scaled, operated 24x7 by Crate.io on Microsoft Azure
ANSI SQL compatible
Easy to learn, use, and integrate. No lock-in to proprietary time series data access interfaces.