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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 totally managed Apache Iceberg answer 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 mirror Qlik’s evolution from a conventional analytics vendor to a full-stack platform able to dealing with trendy AI workloads. Whereas rivals resembling Snowflake and Databricks are eager to unify knowledge and AI workflows, Qlik is extra centered 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 potential to completely leverage AI’s potential.
Qlik’s Open Lakehouse permits enterprises to scale quicker and spend much less. The corporate claims that the brand new platform delivers 2.5x–5x quicker 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 probably the most broadly used analytics and machine studying (ML) engines.
Supply: Qlik
“Efficiency and price ought to not be a tradeoff in trendy knowledge architectures,” mentioned 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 finest 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 hundreds of 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 actually 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.
Clients can run Qlik Open Lakehouse inside their very own AWS environments utilizing Carry Your Personal Compute (BYOC), giving them direct management over knowledge 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, Information Area Architect at Toyota Motor Europe, mentioned the corporate is carefully following Qlik’s progress: “Giant firms like ours urgently want interoperability between various enterprise models 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 advanced, dynamic landscapes is exactly what the business 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 straight 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 turn out to be a menace or a bonus. Qlik Solutions, which was launched final yr for unstructured knowledge, will get an improve. It could actually now carry 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 type of AI agent known as the Pipeline Agent, which will 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 comparable instruments by means of their GenAI instruments. Nonetheless, Qlik has extra formidable targets because it goals to supply tighter integration based on the total stack, enabling end-to-end pipeline creation from enterprise intent to execution.
“This new agentic expertise is about eradicating the space between knowledge, selections, and outcomes,” mentioned Mike Capone, CEO of Qlik. “Individuals need a seamless, conversational approach to have interaction with their knowledge—one that matches naturally into their work and delivers clear, trusted solutions in context. We’ve constructed this expertise to mirror how selections really get made in a enterprise.”
Qlik Open Lakehouse is on the market now in personal preview. It’s scheduled to be typically obtainable in July 2025. The Qlik agentic expertise is scheduled to start rolling out this summer time, beginning with personal previews.
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