Qlik®, a global leader in data integration, data quality, analytics, and artificial intelligence (AI), has announced that it has been positioned as a Leader in the 2025 Gartner®Magic Quadrant™ for Data Integration Tools. This marks the tenth time over the past decade that Qlik has been recognised as a Leader in this Magic Quadrant. Qlik believes this position reflects its focus on helping organisations build trusted, open data foundations that keep pace with changing architectures and AI demands.

Qlik Talend Cloud is the company’s cornerstone data integration offering and a focal point of its product development. It brings together data integration, quality, and governance capabilities in a single experience designed to support modern patterns like open lakehouse architectures and AI-ready data products.

“AI is moving faster than any technology cycle we have seen, and the only durable advantage is an adaptable, trusted data platform,” said Mike Capone, CEO of Qlik. “Our focus now is to give customers an open, independent backbone for their lakehouse and AI projects that can plug into whichever clouds, models, and assistants they choose. For us, ten years as a Leader underscores the importance of staying focused on where architectures are headed next and giving customers an open path forward.”

Qlik’s data integration capabilities are designed to help customers move from fragmented data pipelines to governed, reusable data products that serve analytics, applications, and AI:

• Real-time and bulk data movement: Log-based change data capture and high-performance bulk loaders help teams move data continuously and at scale for cloud migrations, analytics, and hybrid architectures.
• Rich transformation and connectivity: Mature transformation capabilities and a broad library of connectors allow teams to shape and combine data from diverse sources into consistent, analytics-ready datasets.
• Trusted data products and open lakehouse: With Qlik Talend Cloud, customers can define, govern, and publish data products and support open lakehouse architectures based on open table formats such as Apache Iceberg, while still using their preferred cloud platforms and tools.
• AI-ready and agentic pipelines: Qlik is investing in AI capabilities, including agentic approaches to building and running data pipelines, so teams can automate more of the work involved in preparing, monitoring, and optimising data for AI and analytics.

Across industries and regions, Qlik supports customers as they modernise their data foundations, move workloads to the cloud, and consolidate analytics and AI on top of shared, governed data products. The company’s open and hybrid approach allows customers to work across major cloud providers and lakehouse partners while keeping control of their own architectures and spend.