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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 totally 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 standard analytics vendor to a full-stack platform able to dealing with fashionable AI workloads. Whereas rivals equivalent to 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 turning into extra conscious of the returns their AI initiatives generate. Nevertheless, bottlenecks like inflexible knowledge warehouses and siloed analytic instruments are limiting their skill 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 not be a tradeoff in fashionable 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 fulfill 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 tug tens of millions of information per second from cloud apps, SaaS platforms, SAP, and mainframes, guaranteeing low-latency entry to recent knowledge. 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 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 Convey 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, Knowledge Area Architect at Toyota Motor Europe, stated the corporate is carefully following Qlik’s progress: “Giant companies like ours urgently want interoperability between numerous 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 which will in any other case go unnoticed. The brand new agentic expertise builds straight on this engine. It allows 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 developments earlier than they even turn into a menace or a bonus. Qlik Solutions, which was launched final 12 months for unstructured knowledge, will get an improve. It may well now deliver collectively structured and unstructured knowledge in a single pure language expertise, delivering extra complete solutions and enabling automated actions.
Qlik can also be exploring a brand new form of AI agent referred to as the Pipeline Agent, which may also help customers construct knowledge pipelines by merely describing what they wish to obtain in plain language. This isn’t a brand new idea. Microsoft, Databricks, and Snowflake have begun introducing comparable instruments via their GenAI instruments. Nevertheless, Qlik has extra formidable targets because it goals to supply tighter integration in line with the complete stack, enabling end-to-end pipeline creation from enterprise intent to execution.
“This new agentic expertise is about eradicating the gap between knowledge, choices, and outcomes,” stated Mike Capone, CEO of Qlik. “Folks desire a seamless, conversational technique 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 replicate how choices really get made in a enterprise.”
Qlik Open Lakehouse is offered now in non-public preview. It’s scheduled to be typically out there in July 2025. The Qlik agentic expertise is scheduled to start rolling out this summer time, beginning with non-public previews.
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