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Navigate to Workspaces → SQL Editor in your Keboola project. Write or paste your SQL query in the editor. ‍

Last week we publicly released Kai, our in-platform AI assistant, a data engineering agent that can build integrations, write transformations, debug failures, and document your entire project. I'm extremely proud of the team and what we've delivered. Yes, everyone has an AI assistant now. But most are chat wrappers that look great in scripted demos and fall apart with real work.

Explore what a modern data stack is, the modern data stack architecture, and examples of modern data stack tools that support scalable data integration.

Gartner has named Qlik a Leader in the 2026 Gartner Magic Quadrant for Augmented Data Quality Solutions, our seventh time being recognized as a Leader in this Magic Quadrant. As AI becomes operational, data quality matters more than ever. We’re past the phase where AI just produces outputs. AI is starting to initiate, route, and act across real workflows.

You've outgrown Excel for consolidation. But what comes next? Anaplan starts at $200K+ - and still assumes your data is already clean. Your data team wants to build something custom - but "three months" always becomes twelve. And every vendor says they're the answer. This guide compares every realistic consolidation path side by side. Real costs, real timelines, real trade-offs. Including when staying with Excel is still the right call.

Determine the exact data lakehouse capabilities you’ll need for your use case, and which vendors offer them.

The dashboard was supposed to set your data free. Instead, it became a beautiful prison. You built the perfect visualization. Metrics aligned, charts polished, filters configured. Then someone asked a follow-up question, and suddenly you were back in the queue, waiting for an analyst to build another report. Dashboards are like printed maps in the age of GPS. They show you where things are at a specific moment. But they can’t reroute when conditions change.

Every team in your company has the same problem: they need answers from data, but getting them is never fast. Marketing wants to know which campaigns are working. Sales wants to know which deals are stalling. Leadership wants to know if the business is on track. Each team asks different questions, but they all end up in the same place—waiting for someone else to pull the numbers. What if your teams could just ask questions and get answers instantly? That’s what Databox MCP enables.

This week, we had a chat with one of our enterprise customers about their thoughts on AI inside their Yellowfin environment. They’re currently running version 9.15 and use Yellowfin as the primary BI layer inside their app.