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Information 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 knowledge.
These new capabilities replicate Qlik’s evolution from a conventional analytics vendor to a full-stack platform able to dealing with trendy AI workloads. Whereas rivals corresponding to Snowflake and Databricks are eager to unify knowledge and AI workflows, Qlik is extra targeted on conversational AI brokers and interoperable architectures.
Whereas enterprises proceed to spend money on AI, they’re changing into extra conscious of the returns their AI initiatives generate. Nonetheless, bottlenecks like inflexible knowledge warehouses and siloed analytic instruments are limiting their capability to completely leverage AI’s potential.
Qlik’s Open Lakehouse permits 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 trendy knowledge architectures,” stated Mike Capone, CEO of Qlik. “With Qlik Open Lakehouse, enterprises achieve real-time scale, full management over their knowledge, and the liberty to decide on the instruments that work greatest for them. We constructed this to satisfy the calls for of AI and analytics at enterprise scale — with out compromise.”
A key function is its real-time ingestion, which permits enterprises to drag thousands and thousands of information per second from cloud apps, SaaS platforms, SAP, and mainframes, making certain low-latency entry to recent knowledge. The always-on adaptive optimizer automates Iceberg desk upkeep. It could deal with compaction, clustering, and pruning with out handbook 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 well-liked knowledge engines with out the necessity to reprocess or transfer knowledge 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 knowledge processing, safety settings, and infrastructure prices. This implies enterprises determine how their workloads run, handle efficiency based mostly on their particular wants, and keep away from vendor lock-in.
David Navarro, Information Area Architect at Toyota Motor Europe, stated the corporate is intently following Qlik’s progress: “Giant companies like ours urgently want interoperability between various enterprise items and companions, every managing its personal expertise stack and knowledge sovereignty. Apache Iceberg is rising as the important thing to zero-copy knowledge 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 knowledge. At its core has been the Qlik engine, which is designed to map relationships throughout knowledge. It permits customers to uncover insights that will in any other case go unnoticed. The brand new agentic expertise builds immediately on this engine. It permits each customers and AI brokers to discover these knowledge 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 traits earlier than they even change into a menace or a bonus. Qlik Solutions, which was launched final yr for unstructured knowledge, will get an improve. It could now deliver collectively structured and unstructured knowledge in a single pure language expertise, delivering extra complete solutions and enabling automated actions.
Qlik can be exploring a brand new sort of AI agent referred to as the Pipeline Agent, which may help customers construct knowledge 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 related instruments via their GenAI instruments. Nonetheless, Qlik has extra bold targets because it goals to supply tighter integration based on the complete stack, enabling end-to-end pipeline creation from enterprise intent to execution.
“This new agentic expertise is about eradicating the space between knowledge, choices, and outcomes,” stated Mike Capone, CEO of Qlik. “Individuals desire a seamless, conversational method to interact with their knowledge—one that matches naturally into their work and delivers clear, trusted solutions in context. We’ve constructed this expertise to replicate how choices really get made in a enterprise.”
Qlik Open Lakehouse is offered now in non-public preview. It’s scheduled to be usually 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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