Shutterstock
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 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 information.
These new capabilities mirror Qlik’s evolution from a conventional analytics vendor to a full-stack platform able to dealing with fashionable AI workloads. Whereas opponents corresponding to Snowflake and Databricks are eager to unify information and AI workflows, Qlik is extra targeted on conversational AI brokers and interoperable architectures.
Whereas enterprises proceed to put money into AI, they’re changing into extra aware of the returns their AI initiatives generate. Nevertheless, bottlenecks like inflexible information warehouses and siloed analytic instruments are limiting their capacity to completely leverage AI’s potential.
Qlik’s Open Lakehouse allows 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 essentially the most extensively used analytics and machine studying (ML) engines.
Supply: Qlik
“Efficiency and price ought to not be a tradeoff in fashionable information architectures,” stated 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 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 drag tens of millions of data 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 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 information engines with out the necessity to reprocess or transfer information to a brand new platform.
Clients can run Qlik Open Lakehouse inside their very own AWS environments utilizing Deliver 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 primarily based 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: “Massive companies like ours urgently want interoperability between numerous enterprise models 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 advanced, 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 straight 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 tendencies earlier than they even change into a menace or a bonus. Qlik Solutions, which was launched final yr for unstructured information, will get an improve. It may now convey collectively structured and unstructured information in a single pure language expertise, delivering extra complete solutions and enabling automated actions.
Qlik can be exploring a brand new form of AI agent known as the Pipeline Agent, which can assist 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 via their GenAI instruments. Nevertheless, 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 space between information, selections, and outcomes,” stated Mike Capone, CEO of Qlik. “Folks need a seamless, conversational option 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 selections truly get made in a enterprise.”
Qlik Open Lakehouse is out there now in personal preview. It’s scheduled to be usually obtainable in July 2025. The Qlik agentic expertise is scheduled to start rolling out this summer season, beginning with personal previews.
Associated Objects
Qlik Completes Acquisition of Talend
Cloudera Unveils Subsequent Section Of Open Information Lakehouse To Unlock Enterprise AI
Onehouse Manages Lakehouse Workloads Throughout Clouds, Question Engines, and Desk Codecs