6 November 2026 Qlik named a Leader in the Gartner Magic Quadrant for Data Integration Tools for the 11th time Share this message Gartner has once again named Qlik a Leader in its Magic Quadrant for Data Integration Tools, published on 2 November 2026. It is the eleventh time Qlik has received this position in the report. What was evaluated? Gartner positions vendors in the Magic Quadrant on two axes: Ability to Execute and Completeness of Vision. For Qlik, Gartner evaluated three products: Qlik Talend Cloud, Talend Data Fabric and Qlik Replicate. What does this mean for Qlik customers? A Magic Quadrant reflects the assessment of Gartner’s analysts. It doesn’t tell you whether a tool fits your organisation. If you already use Qlik for data integration, or are considering it. Where Qlik puts its focus: Current data from source systems. With log-based change data capture (CDC), Qlik streams changes in real time from systems such as SAP and IBM mainframes. According to Qlik, this has minimal impact on the source systems. Analytics and AI applications work with today’s data instead of an overnight batch. Data quality inside the pipeline. Qlik Talend Cloud combines integration with data quality, data contracts and lineage. The Qlik Trust Score shows how far a dataset can be trusted. Stewardship workflows help resolve issues instead of only flagging them. An open lakehouse. Qlik Open Lakehouse stores data in Apache Iceberg tables and optimises them automatically. Because the format is open, you can use the same data on other platforms, including Snowflake through zero-copy mirroring, without moving it. Agentic data engineering. Since June 2026, capabilities have been generally available that let you discover data assets, assess quality and manage governed data products, with human oversight. Want to know what this means for your Qlik environment? Get in touch with us. Qlik How can we help? Whether something’s still unclear or you’re ready to take the next step, Barry and Eric are happy to talk it through. Email us, call us, or book a meeting at a time that works for you. Call us Mail us 6 November 2026 Qlik Cloud overage: who decides how much risk you face? A small error in Qlik Cloud can lead to unexpected overage charges. But how large can that financial risk become? We share our own experience, explain how Data for Analysis overage works, and discuss why customers should be able to decide how much additional capacity they want to allow. We also look at ways to prevent overages and at developments surrounding Usage Bank. Data Analysis Governance Qlik 4 November 2026 Qlik Cloud Update October 2026: Semantic Models, AI, and Modern Development October brought 24 updates to Qlik Cloud. The introduction of Semantic Models in Data Products stands out in particular. Qlik Code for VS Code, AI-assisted development, and improvements to the Direct Access gateway also deserve attention. Our consultants discuss what these developments mean in practice. New Release Qlik 1 September 2026 Qlik Answers review: What we learned from real-world testing We tested Qlik Answers on a real production sales model to see how it handles real-world analytics. The results were promising, but getting reliable answers required careful work on the logical model, master measures, dimensions and business context. AI Data Analysis Qlik Semantic Layer
6 November 2026 Qlik Cloud overage: who decides how much risk you face? A small error in Qlik Cloud can lead to unexpected overage charges. But how large can that financial risk become? We share our own experience, explain how Data for Analysis overage works, and discuss why customers should be able to decide how much additional capacity they want to allow. We also look at ways to prevent overages and at developments surrounding Usage Bank. Data Analysis Governance Qlik
4 November 2026 Qlik Cloud Update October 2026: Semantic Models, AI, and Modern Development October brought 24 updates to Qlik Cloud. The introduction of Semantic Models in Data Products stands out in particular. Qlik Code for VS Code, AI-assisted development, and improvements to the Direct Access gateway also deserve attention. Our consultants discuss what these developments mean in practice. New Release Qlik
1 September 2026 Qlik Answers review: What we learned from real-world testing We tested Qlik Answers on a real production sales model to see how it handles real-world analytics. The results were promising, but getting reliable answers required careful work on the logical model, master measures, dimensions and business context. AI Data Analysis Qlik Semantic Layer