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

“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.”

Juergen Sutterlueti

Head of Energy Segment
Gantner Instruments

Resource Library

IoT & Sensor Data Solution Resources

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White Paper

Designing a
DBMS for IoT

Learn more about the CrateDB architecture, designed for IoT.

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Using CrateDB
for Sensor Data

Everything you need to know to put CrateDB to work with sensor data.

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Case Study IoT Climate Control

Roomonitor stores and analyzes sensor data with CrateDB.

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White Paper

Linear Scalability with CrateDB

Learn about CrateDB’s query throughput scala­bility and more.