Building a hot and cold storage data retention policy in CrateDB with Apache Airflow
In this article on automating recurrent CrateDB queries with Apache Airflow, our experts will show you a strategy for implementing a data retention policy
In this article on automating recurrent CrateDB queries with Apache Airflow, our experts will show you a strategy for implementing a data retention policy
This step-by-step tutorial will show you an example of replicating changes on a table from MSSQL to CrateDB.
Learn how to use Airflow with CrateDB to orchestrate data quality checks.
Introduction to Time-Series Visualization in CrateDB and Superset
Performance benchmark explaining how a 56-node CrateDB cluster was able to ingest up to 4.8 million records per second on Microsoft Azure.
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.
In this tutorial, we show you how to export your tables from PostgreSQL/TimescaleDB and import them into CrateDB.
Crate.io will no longer use Elastic’s Elasticsearch as an upstream project for CrateDB and open source its entire codebase under the APLv2 with CrateDB 4.5
Amazon Timestream is finally out in the world. After playing with it, we share our first thoughts (and also some data)
Setting up a CrateDB cluster with Kubernetes can be done in just a few steps, and scaling up and down is straightforward.