CrateDB for IoT & Sensor Data
Millions of IoT data points per second with CrateDB.
CrateDB was made for putting IoT data to work. From industrial internet to connected cars to wearables, CrateDB is the database of choice for innovators of new IoT solutions. Advantages of using CrateDB for IoT sensor data include:
Using CrateDB for IoT & Sensor Data
Millions of data points per second
Fast, linearly scalable data ingestion
Real-time queries
Columnar indexes and field caches provide in-memory SQL performance
Dynamic schema
Add and query new sensor data structures on the fly
IoT Analytics
Fast, robust time series, AI, geospatial, text search, joins, aggregations
Always on
Built-in data replication, and cluster rebalancing ensure non-stop performance
ANSI SQL = No Lock in
Easy for any developer to use and integrate
IoT ecosystem
Works with Kafka, Grafana, Node-RED, and other popular IoT stack software
At the Edge and the Cloud
Runs anywhere for efficient processing at the edge or in the cloud
Juergen Sutterlueti“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
IoT & Sensor Data Solution Resources
Designing a
DBMS for IoT
Learn more about the CrateDB architecture, designed for IoT.
Using CrateDB
for Sensor Data
Everything you need to know to put CrateDB to work with sensor data.
Roomonitor.com: IoT Climate Control
Roomonitor stores and analyzes sensor data with CrateDB.
Linear Scalability with CrateDB
Learn about CrateDB’s query throughput scalability and more.
