Qlik, a global leader in data integration, analytics, data quality, and artificial intelligence (AI), has officially launched Qlik Open Lakehouse, now generally available in Qlik Talend Cloud. This fully managed Apache Iceberg service empowers enterprises with real-time pipelines, automated Iceberg optimization, and multi-engine access all without vendor lock-in. By doing so, Qlik enables businesses to establish an AI-ready data foundation that accelerates decision-making while cutting costs.
Unlike traditional warehouse systems, Qlik Open Lakehouse deploys directly into the customer’s cloud account with a bring-your-own-compute model. This approach gives organizations complete control over security, performance, and cost optimization. At the same time, it integrates change data capture (CDC) ingestion with automated Iceberg optimization and seamless multi-engine access. Consequently, teams can continue using tools they already rely on, such as Amazon Athena, Snowflake, Spark, Trino, and Amazon SageMaker for machine learning (ML).
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During the preview phase, customers reported faster query speeds and significant infrastructure savings as they moved workloads from proprietary warehouses to open, optimized Iceberg tables.
Mike Capone, CEO of Qlik, emphasized the importance of speed and cost efficiency in AI adoption, stating: “AI stalls when data is slow, fragmented, and expensive. 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.”
With its general availability, Qlik Open Lakehouse introduces several powerful features. These include serverless queries via Amazon Athena, SageMaker-ready data stored in governed Iceberg tables on Amazon S3, and automatic Iceberg optimization for compaction, partitioning, and metadata maintenance. Moreover, it delivers low-latency pipelines from hundreds of data sources with built-in data quality, lineage, cataloging, and FinOps observability.
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Industry analysts have also praised this development. Mike Leone, Principal Analyst at Enterprise Strategy Group, remarked: “The general availability of Qlik Open Lakehouse translates Qlik’s long-term strategy into a tangible reality for companies adopting open table formats. 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.”
Ultimately, Qlik Open Lakehouse removes the barriers between data and AI value creation. By offering trusted, explainable, and always up-to-date data in an open format, Qlik ensures that organizations achieve up to 5x faster queries and up to 50% lower infrastructure costs. This innovation underscores Qlik’s commitment to delivering freedom of choice, scalability, and governance for enterprises moving toward AI-driven transformation.
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