Qlik Open Lakehouse Now Generally Available, Giving Enterprises Rapid, AI-Ready Data on Apache Iceberg

September 16, 2025 at 08:30 AM EDT

Qlik Open Lakehouse includes Amazon Athena support and multi-engine access, plus deployment in the customer’s virtual private cloud (VPC) with automatic Iceberg optimization and built-in data quality and lineage

Qlik^®, a global leader in data integration, data quality, analytics, and artificial intelligence (AI), today announced the general availability of Qlik Open Lakehouse, a fully managed Apache Iceberg service in Qlik Talend Cloud^® that delivers real-time pipelines, automated Iceberg optimization, and true multi-engine access without lock-in. The result is an AI-ready data foundation that cuts time and cost between data and action.

Deployed in the customer’s own cloud account with bring-your-own-compute, Qlik Open Lakehouse combines change data capture (CDC) ingestion with automatic Iceberg optimization and multi-engine access so teams can use the tools they already rely on, including Amazon Athena, Snowflake, Spark, Trino, and Amazon SageMaker for machine learning (ML). In preview, customers reported faster queries and meaningfully lower infrastructure costs as they shifted workloads from proprietary warehouses to open, optimized 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 in their cloud at enterprise scale and query with the engines they already use. It brings performance, cost control, and governance into one motion so decisions happen faster and models improve every day.”

What’s new

General availability of Qlik Open Lakehouse in Qlik Talend Cloud, deployed in the customer’s VPC with bring-your-own-compute for full security, performance, and cost control
Multi-engine access on day one, including Amazon Athena support so teams can query Iceberg tables serverlessly alongside Qlik analytics and other engines
SageMaker-ready data stored in governed Iceberg tables on Amazon Simple Storage Service (Amazon S3), making it easier for ML teams to access, prepare, and train models without building additional data copies
Automatic Iceberg optimization for compaction, partitioning, and metadata maintenance to improve query performance and reduce storage footprint
Low-latency pipelines from hundreds of sources using CDC, with built-in data quality, lineage, cataloging, and FinOps observability
Qlik Analytics™ and AI on top with the Qlik engine and workflow automation so insights can trigger actions in business systems

“The general availability of Qlik Open Lakehouse translates Qlik’s long-term strategy into a tangible reality for companies adopting open table formats,” said Mike Leone, Principal Analyst, Enterprise Strategy Group. “Its ability to handle large amounts of data quickly, optimize it in real time, and work with different tools in the cloud solves common problems with data being out of date, slow, or expensive. Because it also has Qlik’s robust integration and data governance, it provides a strong platform for AI and analytics that teams can adopt without having to completely rebuild their systems or switch to new tools.”

Why it matters

AI value is bottlenecked by data. Qlik Open Lakehouse closes that gap by giving enterprises data and analytics foundations for AI: trusted, explainable, and up-to-date data in an open format that any engine can query. The result is faster decision-making, lower total cost, and freedom of choice across analytics and ML. In preview, customers saw up to 5x faster query performance and up to 50 percent lower infrastructure cost as they removed unnecessary copies and tuned Iceberg tables at scale.

How it works

Open by design: Data lives in Apache Iceberg on customer object storage. The same tables are queryable from Qlik, Amazon Athena, Snowflake, Spark, Trino, and ML services like Amazon SageMaker.
Real time by default: CDC keeps tables current. Automatic optimization maintains performance as data grows.
Governed and trusted: Integrated data quality rules, lineage, cataloging, and access controls provide the assurance AI and regulated workloads require.
Built for action: The Qlik engine and automation connect insight to workflow, so teams do not stop at dashboards.

Availability

Qlik Open Lakehouse is available today for Qlik Talend Cloud customers, including Amazon Athena support. SageMaker integration for model training and inference on Iceberg data is supported via standard AWS patterns. Additional ecosystem updates are targeted for Q4 2025.

Learn more and request a demo at our Qlik Open Lakehouse solution page or contact your Qlik account team to enable Open Lakehouse in your environment.

About Qlik

Qlik converts complex data landscapes into actionable insights, driving strategic business outcomes. Serving over 40,000 global customers, our portfolio provides advanced, enterprise-grade AI/ML, data integration, and analytics. Our AI/ML tools, both practical and scalable, lead to better decisions, faster. We excel in data integration and governance, offering comprehensive solutions that work with diverse data sources. Intuitive analytics from Qlik uncover hidden patterns, empowering teams to address complex challenges and seize new opportunities. As strategic partners, our platform-agnostic technology and expertise make our customers more competitive.

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