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CrateDB for IoT & Sensor Data

Millions of IoT data points per second with CrateDB

CrateDB was built to ingest and manage massive amounts of data from diverse sources. From industrial internet to connected cars to wearables, CrateDB is the database of choice for innovators of new digital solutions. Advantages of using CrateDB for IoT and sensor data include:


Using CrateDB for IoT & Sensor Data

Millions of data points per second
Fast, linearly scalable data ingestion

Dynamic schema
Add and query new sensor data structures on the fly

Always on
Built-in data replication, and cluster rebalancing ensure non-stop performance

IoT ecosystem
Works with Kafka, Grafana, Node-RED, and other popular IoT stack software

Real-time queries
Columnar indexes and field caches provide in-memory SQL performance

IoT ecosystem
Fast, robust time series, AI, geospatial, text search, joins, aggregations

ANSI SQL = No Lock in
Easy for any developer to use and integrate

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


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.


CASE STUDY IoT Climate Control

Roomonitor stores and analyzes sensor data with CrateDB.



Linear Scalability with CrateDB

Learn about CrateDB’s query throughput scala­bility and more.

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