ALPLA relies on IoT data processing in discrete manufacturing
ALPLA decided on CrateDB. Later it turned out that this would be a win-win situation for both companies.
ALPLA decided on CrateDB. Later it turned out that this would be a win-win situation for both companies.
CrateDB allows ingesting large amounts of data, from hybrid sources and at scale, while allowing real-time queries with a familiar SQL interface. With the release of CrateDB v4.6 we continue to improve CrateDB to achieve these goals even better, based on our customer and user feedback.
TGC, a world-leader organization in the concrete industry, keeps implementing digitalization projects to improve its service. Now, the TCG customers can track the curing of their concrete in real-time, monitoring its strength and temperature through sensor data stored in CrateDB.
In this tutorial, we show you how to export your tables from PostgreSQL/TimescaleDB and import them into CrateDB.
In this tutorial, we show you how to monitor your CrateDB cluster using Prometheus and Grafana, enabling JMX monitoring. We also give you the option to download a pre-built dashboard to speed up the process.
Apart from including the Enterprise features and new statements as the CREATE TABLE AS, with CrateDB v4.5 we've done work behind the scenes—with improvements in the documentation, error messages, and stability.
Crate.io co-founder Christian Lutz explains the reasons behind CrateDB's licensing change, sharing his vision for the future of the company.
Starting with CrateDB v4.5.0 and from now on, Crate.io says farewell to its Enterprise License. Instead, all CrateDB features are now available in a single, open-source version licensed under Apache 2.0. This means that CrateDB is (and will continue to be) completely free if you run it on your own premises.
Learn how to build real-time dashboards using CrateDB and Grafana, an open-source platform for data visualization.
SQL is a powerful language for analyzing time series data. In this blogpost, we teach you some queries using the NYC taxi dataset and CrateDB Cloud.