CrateDB: Simply Scalable SQL Database for IoT & Industrial Time Series

How can Crate.io help you?

Industrial Time Series Data

Industrial IoT: beyond traditional time series. Deal with large scale, enriched data, dynamic schema and high concurrency.

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CrateDB SQL for industrial time series & IoT header

Simply Scalable SQL DB

Distributed, columnar SQL DB with linear scalability, elegant JSON handling, and non-stop performance.

About CrateDB...

CrateDB Cloud banner - SQL as a service for Azure IoT

Industrial Time Series for Azure IoT

SQL cloud service on Azure, integrated with Azure IoT ecosystem. Perfect companion and extension for Azure TSI.

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Crate Industrial IoT Data Platform for Smart Factories banner

Smart Factory Data Platform

Turn-key, full-stack solution enables real-time, data-driven manufacturing for discrete manufacturers in consumer packaged goods.

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Use Cases

Smart Factories

Monitor streams of factory sensor data to optimize output, efficiency, control, safety.

Smart IT

Analyze metrics and logs to monitor security, compliance, usage, or billing.

Smart Cities

Transform society with IoT systems that improve sustainability, comfort, & convenience.

Smart Vehicles

Track vehicle locations and system status to improve fleet safety and efficiency.

Put machine data to work

A Unique Machine Data Experience

SQL Ease + NoSQL Agility

A distributed SQL DBMS built atop NoSQL storage & indexing delivers the best of SQL & NoSQL in one DB.

Simple Scalability, Always On

Masterless architecture with auto-sharding & replication. Simple to scale and to keep running, 24x7.

Real-time Performance

Distributed. In-memory. Columnar. Query a firehose of data in real time--time series, geospatial, joins, aggregations, text search,...

Dynamic Schema

Schema evolves automatically as new columns are inserted. Elegantly handles any tabular or non-tabular data to support a wide range of use cases.

Customers

GolfNow: Geospatial data for 4 million users with CrateDB

Read the Customer Story

"Our Industrial IoT software makes extensive use of machine learning and streaming analytics. CrateDB is well-suited for the geospatial and time series data we work with. It allows us to capture sensor data at more than 200,000 rows per second, and query terabytes of data."

Paul Hofmann

CTO
Nokia SpaceTime Insight

Preview Image Customer Story Skyhigh Networks

"More than 40 percent of the Fortune 500 customers depend on McAfee Skyhigh Security Cloud 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."

Sekhar Sarukkai

Chief Scientist
McAfee Skyhigh Security Cloud

Preview Image Customer Story Instruments

"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

"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."

Ignacio Suarez

CEO
Roomonitor

ClearVoice migrates from MySQL to CrateDB

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Meetup

coding stuttgart: meetup zero

Join us when Crate.io’s Tanay Pant will be speaking on time series data.

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Benchmark

CrateDB Time Series

How CrateDB compares with other time series databases.

CrateDB Technical Overview

Designing a SQL DBMS for IoT

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Customer Story

Real-time Industrial IoT at ALPLA

Crate IoT Data Platform analyzing sensor data from 1500 product lines in real-time.