CrateDB Cloud
The most scalable, fast, and cost-effective database for IoT & machine data. Now available on Azure and AWS.
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Get started with CrateDB Cloud
Deploy a CrateDB Cloud Cluster with a few clicks or launch your free 30-day trial cluster.
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Designed to handle the complexity of high-end time series workloads in real-time, CrateDB Cloud is a fully-managed database-as-a-service. Secured, scaled, and operated by the engineers that built CrateDB.
Why CrateDB Cloud
The power and ease of an SQL database. Purpose-built to scale modern applications in a machine data world.
The efficiency & range of CrateDB in the Cloud
Ingest and query massive amounts of data with sub-second query speed and a 10x faster performance than traditional TSDBs.
Handle complex time series data with ease
Dynamic schemas and data management to handle the complexity of extreme Industrial time series use cases.
Scale without limits
A database that grows with your use case: Scale smoothly using automatic rebalancing and a shared-nothing architecture. Available on the Cloud soon.
No lock-in
CrateDB anywhere, any time, as you need it. In the cloud via Azure or AWS and on-prem with CrateDB Cloud Premium.
Standard SQL
Get the best of SQL & NoSQL in one database. CrateDB Cloud is SQL compatible, making it easy to use and integrate.
Instant Results
Monitor your data in real-time. Connect your data to any SQL-based visualization tool. Turn your data into action.
Save time & resources
Focus on making use of your data, not on maintaining a database.
Use Cases
Organizations use CrateDB to power real-time machine data monitoring and analytics, such as:
IoT & Sensors
Stream millions of readings into CrateDB per second and query them in real time.
Read more about IoT & Sensor Data
Time Series
Perfect for monitoring how data changes over time… plus why and where.
Read more about Time-Series Data
Geospatial Tracking
Powerful geospatial indexing to build vehicle tracking and other GIS applications.
Read more about Geospatial Tracking
Cyber Security
Run real-time analytics on streams of network, IT event, and log data.
Read more about Cyber Security