Qlik®, data integration, analytics, and AI, announced the general availability of Qlik Open Lakehouse in Qlik Talend Cloud®. The fully managed Apache Iceberg service delivers real-time pipelines, automated Iceberg optimization, and multi-engine access without vendor lock-in.

The solution provides an AI-ready data foundation that reduces time and cost between data and action. It is deployed in the customer’s own cloud account with bring-your-own-compute. Teams can use tools they already rely on, including Amazon Athena, Snowflake, Spark, Trino, and Amazon SageMaker for machine learning.

In preview, customers reported faster queries and significantly lower infrastructure costs by shifting workloads from proprietary warehouses to open Iceberg tables.

“AI stalls when data is slow, fragmented, and expensive,” said Mike Capone, CEO of Qlik. “Qlik Open Lakehouse fixes that by giving teams a real-time Iceberg-based foundation they can run at enterprise scale. It brings performance, cost control, and governance together so decisions happen faster and models improve daily.”

• Multi-engine access is available from day one, including Amazon Athena for serverless Iceberg table queries.
• SageMaker-ready data is stored in governed Iceberg tables on Amazon S3, simplifying ML model preparation.
• Automatic Iceberg optimization improves query performance and reduces storage footprint.

Mike Leone, Principal Analyst at Enterprise Strategy Group, reported that Qlik Open Lakehouse handles large data sets quickly, optimizes them in real time, and works with various cloud tools. Its robust integration and data governance make it a strong platform for AI and analytics adoption without rebuilding systems.

Enterprises benefit from trusted, explainable, and up-to-date data in an open format. Customers in preview observed up to five times faster queries and up to 50% lower infrastructure costs.

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