New partner on board: welcome roosi
Crate.io is starting a cooperation with the data intelligence consulting company roosi, expanding the market options for IIoT projects in the DACH region.
Crate.io is starting a cooperation with the data intelligence consulting company roosi, expanding the market options for IIoT projects in the DACH region.
In this blog post, we compare how MongoDB, TimescaleDB, InfluxDB, and CrateDB perform for an industrial IoT use-case.
New to databases? This glossary will help you understand some useful terminology for database beginners, as SQL, consistency, scalability or ACID.
Setting up a CrateDB cluster with Kubernetes can be done in just a few steps, and scaling up and down is straightforward.
Manufacturers already have what they need to achieve digitalization: it's their time-series data. The key resides in accessing that information effectively.
The industrial IoT implies huge advantages for manufacturers. However, to fully implement IIoT projects is being challenging for many industries.
Together with M&M Software, we will further advance in our goals: to provide the digital infrastructure the manufacturing industry needs.
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.
We hosted our first-ever devops workshop with the help of PyLadies This post tells you what we did and what we learned in the process.