Introduction In the ever-evolving landscape of data management, adaptability and choice are key. Stackable, renowned for its open and flexible Stackable Data Platform, continues to pioneer innovations that empower businesses to tailor their data architectures to unique needs. The latest

Introduction At Stackable, we like to push the limits of what our Stackable Data Platform can do. Whether it’s the millisecond performance of HBase on Kubernetes (https://stackable.tech/hbase-performance-benchmark/) or connecting to legacy databases via Hive (https://stackable.tech/stackable-and-trino-part-3-migrating-hive-tables-using-ctas/). This time we focused on

🎉 We are proud to announce that we were selected to receive funding as one of the participants in the recent “Contribute Back” challenge organized by the Sovereign Tech Fund (STF). In our application, we participated in category two: Securing

Introduction Apache Spark has come a long way since its inception in 2014, originally envisioned as a more generic model to work with data than the previous concept of Map & Reduce. It has been widely adopted since then and

Apache Superset can be extended with custom visualization plugins. Being able to use this feature in the Stackable platform is a niche feature some could benefit from. This is an explanation how to go about configuring it and enhancing your

How can you be sure, that a Git commit is authentic? That it was made by the person it claims to be made by? Git allows for signing commits to provide proof that you authored a commit. The same signing