Blog

Approachability is not one of the biggest strengths of Kubernetes. Anybody who can’t express their questions in form of kubectl commands will have a hard time finding out what’s going on inside a cluster. Not that it were an easy task. The

TL;DR In this blog post, I describe a benchmarking exercise we conducted to compare the performance impact of running HBase and HDFS on Kubernetes versus running them on bare-metal. The blog post explains the challenges of running stateful workloads on

Using CREATE TABLE AS SELECT (CTAS) SQL statements is a well established method of copying and transforming structured data.Trino’s inherent ability to manipulate data from many different sources, sinks and formats makes this a particularly effective way to move data

When checking out this year’s KubeCon in Amsterdam, the following text snippet caught my attention: “Join containerd, CoreDNS, Envoy, etcd, Fluentd, Harbor, Helm, Jaeger, Kubernetes, Linkerd, Open Policy Agent, Prometheus, Rook, TiKV, TUF, Vitess, Argo, Backstage, Buildpacks, Chaos Mesh, Cilium,

In Part 1 of this blog series I looked at how Stackable and Trino fit in with the wider Apache Hadoop SQL ecosystem and especially with Apache Hive to provide a means of smoothing the migration away from Hive. Now

Apache Hive is a common feature in many Hadoop deployments and it’s not unusual to find Hadoop clusters where the primary use case boils down to SQL queries on structured data. Hive has strong roots in the Hadoop ecosystem and