Qlik has announced new capabilities to help Snowflake customers integrate real-time enterprise data, embed governed business context, and activate AI-driven insights within Snowflake and Snowflake Cortex workflows. Timed alongside Snowflake Summit 2026, the innovation builds on updates unveiled at Qlik Connect 2026.
As enterprises move beyond pilot-stage AI projects, many face challenges around data integration, governance, and operationalization. Qlik aims to address these gaps by enabling seamless data movement from diverse sources including SAP systems, mainframes, SaaS applications, databases, and streaming platforms into Snowflake in real time. This ensures faster access to fresh data and reduced latency for analytics and AI use cases.
“Snowflake customers do not need more AI experimentation around the edges… Qlik helps bring in more enterprise data, preserve business context, and connect Snowflake and Cortex workflows to governed intelligence across the business,” said Josh Good, VP, Tech Ecosystems & Strategy at Qlik.
A key highlight of the announcement is Qlik’s ability to enrich Snowflake workflows with governed enterprise context. By connecting Snowflake data with curated data products, lineage tracking, quality signals, and business metadata, organizations can build more reliable and explainable AI models. Importantly, Qlik extends this context beyond Snowflake, allowing enterprises to incorporate relevant data from external systems without compromising governance.
Qlik also introduced a Snowflake Native App for its Model Context Protocol (MCP) Server, designed to link Snowflake Intelligence and Cortex Agents directly with Qlik Cloud. This integration allows AI agents to access trusted analytics assets such as KPIs, formulas, dashboards, and lineage data, enabling more accurate, context-aware decision-making.
The enhanced capabilities also focus on bridging the gap between insights and action. With analytics, workflow activation, and open agent interoperability, Qlik enables teams to operationalize insights directly within business workflows. This helps organizations move faster from data to actionable outcomes while maintaining control and transparency.
“Qlik complements that foundation by helping joint customers connect more enterprise data and business context to Snowflake workflows, so teams can move faster from data to insight to action with the governance required at enterprise scale,” added Amy Kodl, SVP, Worldwide Alliances and Channels at Snowflake.
As a Snowflake Elite Technology Partner, Qlik brings together data integration, analytics, and governance capabilities in a unified approach. The collaboration supports enterprise AI adoption by providing a scalable, flexible ecosystem that avoids vendor lock-in while ensuring compliance and trust.
Together, Qlik and Snowflake aim to empower organizations to turn robust data infrastructure into actionable, governed AI outcomes particularly in complex enterprise environments where real-time data, operational systems, and governance must seamlessly align.
