Qlik® today announced the general availability of new agentic data engineering capabilities across Qlik Cloud, moving the capabilities introduced at Qlik Connect 2026 into production for customers. The release helps data teams use purpose-built AI agents and declarative workflows to find trusted data, define business meaning, evaluate quality, shape data products and create pipelines through the tools they already use, so governed data can move faster into analytics, automation and AI workflows.
Qlik delivers agentic data engineering in Qlik Cloud with general availability.
Data Quality Agents help retrieve trust scores, create rules, and detect anomalies.
Data Products capabilities create, manage, and govern trusted AI-ready datasets.
Catalog Glossary standardizes terminology and connects business definitions to metadata.
Declarative Pipelines with Coding integrates with third-party coding agents.
MCP-enabled workflows let engineers use preferred AI assistants with governance.
As enterprises move AI from pilots into business workflows, data engineering has become a critical constraint. AI agents can recommend, generate and act faster than traditional data pipelines can be built, governed or maintained. That creates a new requirement for data teams: scale delivery without giving up quality, lineage, stewardship, or architectural choice. Qlik's agentic data engineering capabilities are designed around that requirement, bringing AI assistance into more of the data engineering workflow so teams can move from intent to trusted data products faster while keeping humans in control.
Data Quality Agents help users retrieve trust scores and data quality metrics, create or edit data quality rules, define service-level objectives, run calculations, and detect or report anomalies through natural language or MCP-enabled workflows. Data Products helps teams create, manage and govern trusted data products, making curated, AI-ready datasets easier to specify, maintain, and consume. Catalog Glossary helps users discover data assets, standardize terminology, and connect business definitions to governed metadata. Declarative Pipelines with Coding lets data engineers work with approved third-party coding agents and development environments. Expanded MCP-enabled data tools gives authorized AI clients access to Qlik capabilities and context.
Drew Clarke, Executive Vice President, Product and Technology at Qlik, stated: "Organizations are using many AI tools, it isn't just one assistant or one model or a single data platform. Our approach is to bring governed Qlik context into the tools data teams already use, so they can accelerate engineering work with agents while preserving choice, transparency, and control."
Stephen Catanzano, Principal Analyst, Data & AI at Omdia, added: "Enterprises are under pressure to operationalize AI faster, but many are discovering that data engineering and governance remain major bottlenecks. What's notable about Qlik's approach is the focus on embedding agentic capabilities directly into governed data workflows, helping organizations accelerate delivery of AI-ready data products without separating speed from oversight."
Robin Astle, Head of Qlik Analytics at Valpak, shared: "Qlik's agentic data engineering capabilities will help us find the right assets, understand quality, and move trusted data products into use faster, while keeping our governance process intact. That balance of speed and control is what will make AI practical for us."
The release reinforces Qlik's open approach to enterprise AI. Rather than forcing customers into a single data platform, assistant, or cloud architecture, Qlik is designed to work across the systems customers already use. Data teams can use Qlik Talend Cloud and Qlik Cloud Analytics, Qlik's agentic experience, MCP-enabled tools, and third-party assistants to deliver trusted data while preserving flexibility.
About Qlik
Qlik helps teams get more out of AI with data they can rely on and control. It delivers trusted data products, a powerful analytics engine, and AI agents. This helps teams reduce risk, keep operating costs in check, and scale AI responsibly as needs evolve. Used by 75% of the Fortune 500, Qlik supports customers worldwide. Qlik works with the systems and partners customers already use, so teams can stay flexible without lock-in.
