Systems | Development | Analytics | API | Testing

By Erez Schnaider, Technical Product Marketing Manager, ClearML Slurm has powered HPC environments for years. It is battle tested, widely adopted, and deeply embedded in research and engineering workflows. Over 60% of the TOP500 supercomputers use it to manage their large infrastructure, orchestrate workloads and schedule jobs, as it is powerful and versatile with over 20 years of engineering behind it.

You don’t wake up caring about badges. You care about data that’s actually extractable, pipelines that don’t fall over, and teams that aren’t stuck copy-pasting CSVs. Still, it’s good when the market validates that. In the Europe Grid Report for Data Extraction | Winter 2026, Keboola is a Leader on the Mid-Market Europe Regional Grid for Data Extraction.

ETL tools automate the process of extracting data from source systems like Salesforce, transforming it into analysis-ready formats, and loading it into data warehouses, BI platforms, or other business applications. This automation eliminates the manual export/import cycles that drain resources and introduce inconsistencies.

Modern enterprise data strategies require seamless integration across cloud warehouses, legacy systems, and operational applications. Organizations report that 89% now operate multi-cloud environments, creating architectural complexity that traditional point solutions cannot address.

Finance teams are smart, but not infallible. Even the most talented and dedicated finance professionals, like the ones on your team, are bound to make a mistake from time to time. But some mistakes are more costly than others. Have you ever been in the middle of a presentation and realized that you were talking about the wrong data? Or have you had an executive ask for data that you simply couldn’t find? With the right tools and automation, you can avoid these embarrassing moments.

Snowflake Intelligence brings enterprise insights to every employee’s fingertips, helping users answer complex questions in natural language with their own personalized enterprise intelligence agent. But for these agents to deliver truly accurate, contextually aware results within Snowflake’s Cortex framework, they need more than access to static or batch data—they need a continuous, trustworthy view of everything happening across the business right now.

We are excited to announce that Confluent has entered into a definitive agreement to be acquired by IBM. After the transaction is closed (subject to customary closing conditions and regulatory approvals), together, IBM and Confluent will aim to provide a platform that unifies the world’s largest enterprises, unlocking data for cloud/microservices, accelerating time-to-value, and building the real-time data foundation required to scale AI across every organization.