Qlik, a global leader in data integration, data quality, analytics, and artificial intelligence, is unveiling the Qlik Open Lakehouse, a fully managed Apache Iceberg solution built into Qlik Talend Cloud, to deliver real-time ingestion, automated optimization, and multi-engine interoperability—without vendor lock-in or operational overhead.
Qlik Open Lakehouse offers a new path: a fully managed lakehouse architecture powered by Apache Iceberg that delivers 2.5x–5x faster query performance and up to 50% lower infrastructure costs, while maintaining full compatibility with the most widely used analytics and machine learning engines, according to the company.
“Performance and cost should no longer be a tradeoff in modern data architectures,” said Mike Capone, CEO of Qlik. “With Qlik Open Lakehouse, enterprises gain real-time scale, full control over their data, and the freedom to choose the tools that work best for them. We built this to meet the demands of AI and analytics at enterprise scale — without compromise.”
Qlik Open Lakehouse is built from the ground up to meet the scale, flexibility, and performance demands of modern enterprises—without the tradeoffs. It combines real-time ingestion, intelligent optimization, and true ecosystem interoperability in a single, fully managed platform.
Features include:
- Real-time ingestion at enterprise scale: Ingest millions of records per second from hundreds of sources—including cloud apps, SaaS, SAP, and mainframes—directly into Iceberg tables with low latency and high throughput.
- Intelligent Iceberg optimization, fully automated: Qlik’s always-on adaptive Iceberg optimizer handles compaction, clustering, and pruning automatically, delivering up to 5x faster queries and 50% lower storage costs—no tuning required.
- Open by design, interoperable by default: Access data in Iceberg tables using a variety of Iceberg-compatible engines, including Snowflake, Amazon Athena, Apache Spark, Trino, and SageMaker—without re-platforming or reprocessing.
- Your compute, your cloud, your rules: Runs natively in your AWS VPC with Bring Your Own Compute (BYOC), giving you full control over performance, security, and cost.
- One platform, end to end: From ingestion and transformation to governance, data quality, and FinOps visibility, Qlik provides a unified lakehouse experience—no patchwork, no handoffs.
As AI workloads demand faster access to broader, fresher datasets, open formats such as Apache Iceberg are becoming the new foundation. Qlik Open Lakehouse responds to this shift by making it effortless to build and manage Iceberg-based architectures—without the need for custom code or pipeline babysitting. It also runs within the customer’s own AWS environment, ensuring data privacy, cost control, and full operational visibility, the company said.
Qlik Open Lakehouse is available now in private preview and is scheduled to be generally available in July 2025. Private preview is limited—early access is encouraged for teams looking to modernize ahead of GA.
For more information about this news, visit www.qlik.com.