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:
ADVANTAGES
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
RESOURCE LIBRARY
IoT & Sensor Data Solution Resources
WHITE PAPER
Designing a DBMS for IoT
Learn more about the CrateDB architecture, designed for IoT.
WEBINAR
Using CrateDB for Sensor Data
Everything you need to know to put CrateDB to work with sensor data.
CASE STUDY
Roomonitor.com: IoT Climate Control
Roomonitor stores and analyzes sensor data with CrateDB.
WHITE PAPER
Linear Scalability with CrateDB
Learn about CrateDB’s query throughput scalability and more.