Comparing MongoDB, TimescaleDB, InfluxDB, and CrateDB for an IIoT Use-case
In this blog post, we compare how MongoDB, TimescaleDB, InfluxDB, and CrateDB perform for an industrial IoT use-case.
In this blog post, we compare how MongoDB, TimescaleDB, InfluxDB, and CrateDB perform for an industrial IoT use-case.
Confused about IIoT, time series, and what it all means? We explain the fundamentals, introducing CrateDB Cloud.
CrateDB 4.1 adds support for more SQL features that support time series use-cases, including interval-based data management. We also improved string scalars.
You don't have to choose between operational historians or a time-series database for industrial IoT. There's a third option.
With CrateDB and the Crate IoT Data Platform, you can get functionalities of both time series databases and operational historians.
The most resilient version yet. CrateDB 4.0.2 supports more SQL than ever, interoperates with even more PostgreSQL tools, and offers new options for working with time series data. In addition, the user interface is slimmer and cleaner than before.
Read the perspective of the co-founder of Crate.io with respect to open-source licensing, its values, and how to make it work as a company.
CrateDB Enterprise can now be run for free for cluster up to three nodes, the Community Edition needs to be built by users themselves. Besides, there are more Window Functions, SQL Features, Postgres Compatibility and Monitoring, and Administration features.
Find out in this IIoT success story how a world-leader manufacturer is digitalizing their factories, saving money and time.
An overview of a proof-of-concept we have been working on with Craftworks to deliver business intelligence for one of Illwerke VKW's key hydroelectric power plants.