What does the future of open data architecture look like for enterprises? At Qlik Connect, I had the chance to sit down with Ori Rafael and dig into some big announcements that signal a shift in how modern data teams will work:
— Open Lakehouse:
Qlik launched its Open Lakehouse, built on Apache Iceberg. It’s a step toward unifying real-time data access, open table formats, and full AI-readiness—without locking you into a vendor. It’s designed for teams who want to move fast, stay open, and keep control of their data.
— Upsolver acquisition:
Qlik also quietly made a big move—acquiring Upsolver. This adds low-latency ingestion and smarter optimization to Iceberg workflows. It’s a clear signal that Qlik is investing deeply in making Iceberg work in production for enterprise-grade use cases.
— Scaling Iceberg:
Ori shared that scaling Iceberg means solving for more than just storage—it’s about governance, performance, and ecosystem compatibility. Qlik’s platform aims to help data teams avoid piecing together half-baked solutions and instead offer something integrated.
— What enterprise leaders care about:
Many are excited about Iceberg because it brings structure, openness, and scalability together. Especially in environments where teams are juggling legacy warehouses, lakehouses, and emerging AI pipelines—it’s a foundation they can build on.
The data space is changing fast, and conversations like this one at Qlik Connect are a great way to understand where things are headed—and what decisions are driving it.
What’s your take on Iceberg in enterprise environments?
#data #ai #iceberg #qlikconnect #theravitshow
