Industrial big data¶

Industry 4.0, but cost-effective: CrateDB is the backbone for all the analytics.

Today’s industrial and logistics data acquisition and processing systems are complex and distributed, with a very high degree of automation.

In the realm of Industrial IoT, dealing with diverse data, ranging from slow-moving structured data, to high-frequency measurements, presents unique challenges. The complexities of industrial big data are characterized by its high variety, unstructured features, different data sampling rates, and how these attributes influence data storage, retention, and integration.

Learn how to use CrateDB in long-term storage and analytics scenarios for industrial / IIoT / Industry 4.0 environments within engineering, manufacturing, production, and logistics, as well as other operational domains, or within similar environments where billions of data records from any kinds of machines or devices need to be processed, stored, and queried.

With CrateDB, compatible with PostgreSQL, you can do all of that using plain SQL. Other than integrating well with commodity systems using standard database access interfaces like ODBC or JDBC, it provides a proprietary HTTP interface on top.