Because of its horizontally scalable shared-nothing architecture, the CrateDB open source database is well-suited for working with Kubernetes. Setting up a CrateDB cluster with Kubernetes can be done in just a few steps, and scaling up and down is straightforward – making the cluster particularly flexible. This step-by-step tutorial will show you how to get CrateDB and Kubernetes working together.
CrateDB is used for real-time machine data processing, monitoring, and analytics. The open source database is suited for applications with high volumes of machine data (like anomaly detection), log data (like ecommerce), network data (like capacity planning), and IoT/IIoT data (like smart manufacturing, smart home products, and fitness gear). However, this database is probably not what you want to use if you require strong (ACID) transactional consistency or highly normalized schemas with many tables and joins.