Store and analyze massive amounts of machine data in real time
Stream highly concurrent, massive data into CrateDB. Query streams and historic data. Use SQL to query, visualize and work in real time with things data. For apps, dashboards, prediction and more.
Analyze logs from security, infrastructure to run interactive dashboards, monitor SLA compliance, usage & billing, fraud, and more.
Our SQL query engine enables complex real time queries – for time series, search, geospatial, aggregations, prediction, ML, AI.
Use SQL to store and query structured & unstructured data together.
Optimized to run fast time series, geospatial, and other advanced analyses.
Joins, aggregations, sub-selects, CrateDB runs them all fast, even ad-hoc.
Automatic data replication and self-healing clusters for high availability.
Automatic sharding & containerization make it simple to scale CrateDB
Add columns anytime without having to re-code or re-index.
“The cars in our customers’ fleets are in use 24 hours a day, and we need to process the massive amounts of data they generate in real time. We tried a few SQL and NoSQL databases, and CrateDB offered the best combination of scalability, performance, and up-time.”
Founder at Clickdrive
“Our Industrial IoT software makes extensive use of machine learning and streaming analytics. CrateDB is well-suited for the geospatial and temporal data we work with. It allows us to capture sensor data at more than 200,000 rows per second, and query terabytes of data.”
CTO at Space-Time Insight
“More than 40 percent of the Fortune 500 customers depend on Skyhigh to help address their cloud security needs. CrateDB is an important part of our data stack giving us the performance and horizontal scalability to meet our rapidly growing business needs.”
Co-founder and Chief Scientist at Skyhigh Networks
“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.”
Head of Energy Segment, Gantner Instruments
“Giving thousands of property managers real-time insight into air conditioning usage, noise levels, security and other smart home sensor data required a database purpose-built for IoT. CrateDB is the best solution we found, and we’ve tried them all.”
CEO of Roomonitor
“It was very convenient to integrate CrateDB into our existing code base even though it was written for a different database. And on top of that, with CrateDB you can replace MongoDB and Elasticsearch with one scalable package.”
Director of Engineering at Clearvoice