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Knowledge analytics firm Qlik unveiled two main product improvements at Qlik Join 2025 in Orlando, FL. The corporate launched Qlik Open Lakehouse, a completely managed Apache Iceberg resolution embedded into Qlik Talend Cloud. It additionally launched a brand new agentic AI expertise that gives a conversational interface, permitting customers throughout the enterprise to simply work together with information.
These new capabilities mirror Qlik’s evolution from a standard analytics vendor to a full-stack platform able to dealing with fashionable AI workloads. Whereas rivals resembling Snowflake and Databricks are eager to unify information and AI workflows, Qlik is extra centered on conversational AI brokers and interoperable architectures.
Whereas enterprises proceed to spend money on AI, they’re turning into extra aware of the returns their AI initiatives generate. Nonetheless, bottlenecks like inflexible information warehouses and siloed analytic instruments are limiting their capability to completely leverage AI’s potential.
Qlik’s Open Lakehouse allows enterprises to scale sooner and spend much less. The corporate claims that the brand new platform delivers 2.5x–5x sooner question efficiency and as much as 50% decrease infrastructure prices in comparison with conventional warehouses. It achieves this with out compromising on its compatibility with essentially the most broadly used analytics and machine studying (ML) engines.
Supply: Qlik
“Efficiency and price ought to now not be a tradeoff in fashionable information architectures,” mentioned Mike Capone, CEO of Qlik. “With Qlik Open Lakehouse, enterprises achieve real-time scale, full management over their information, and the liberty to decide on the instruments that work finest for them. We constructed this to satisfy the calls for of AI and analytics at enterprise scale — with out compromise.”
A key characteristic is its real-time ingestion, which permits enterprises to tug thousands and thousands of information per second from cloud apps, SaaS platforms, SAP, and mainframes, making certain low-latency entry to recent information. The always-on adaptive optimizer automates Iceberg desk upkeep. It may well deal with compaction, clustering, and pruning with out guide tuning.
Qlik is eager on open requirements and interoperability, and that’s evident with Open Lakehouse. The platform helps direct entry throughout Snowflake, Amazon Athena, Trino, Spark, and SageMaker. Enterprises can work with their most popular information engines with out the necessity to reprocess or transfer information to a brand new platform.
Prospects can run Qlik Open Lakehouse inside their very own AWS environments utilizing Convey Your Personal Compute (BYOC), giving them direct management over information processing, safety settings, and infrastructure prices. This implies enterprises resolve how their workloads run, handle efficiency based mostly on their particular wants, and keep away from vendor lock-in.
David Navarro, Knowledge Area Architect at Toyota Motor Europe, mentioned the corporate is intently following Qlik’s progress: “Massive firms like ours urgently want interoperability between numerous enterprise items and companions, every managing its personal know-how stack and information sovereignty. Apache Iceberg is rising as the important thing to zero-copy information sharing throughout vendor-independent lakehouses, and Qlik’s dedication to delivering efficiency and management in these complicated, dynamic landscapes is exactly what the trade requires.”
Qlik has spent years refining how companies work together with information. At its core has been the Qlik engine, which is designed to map relationships throughout information. It permits customers to uncover insights that will in any other case go unnoticed. The brand new agentic expertise builds instantly on this engine. It allows each customers and AI brokers to discover these information relationships extra dynamically. Customers can ask questions in pure language, uncover patterns, and set off automated actions.
Supply: Qlik
The brand new Discovery Agent is constructed to proactively spotlight dangers and alternatives so enterprises can keep forward of rising developments earlier than they even develop into a risk or a bonus. Qlik Solutions, which was launched final yr for unstructured information, will get an improve. It may well now convey collectively structured and unstructured information in a single pure language expertise, delivering extra complete solutions and enabling automated actions.
Qlik can also be exploring a brand new sort of AI agent referred to as the Pipeline Agent, which might help customers construct information pipelines by merely describing what they need to obtain in plain language. This isn’t a brand new idea. Microsoft, Databricks, and Snowflake have begun introducing comparable instruments by way of their GenAI instruments. Nonetheless, Qlik has extra formidable objectives because it goals to supply tighter integration in response to the complete stack, enabling end-to-end pipeline creation from enterprise intent to execution.
“This new agentic expertise is about eradicating the gap between information, choices, and outcomes,” mentioned Mike Capone, CEO of Qlik. “Folks desire a seamless, conversational strategy to interact with their information—one that matches naturally into their work and delivers clear, trusted solutions in context. We’ve constructed this expertise to mirror how choices truly get made in a enterprise.”
Qlik Open Lakehouse is accessible now in non-public preview. It’s scheduled to be typically accessible in July 2025. The Qlik agentic expertise is scheduled to start rolling out this summer season, beginning with non-public previews.
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