Published May 16, 2026
| Starting Price (public) | Included starting in Qlik Cloud Premium: published capacity- and plan-based pricing available from the vendor (vendor-published data allowances apply) | Published per-user and capacity pricing available from Microsoft; ML costs depend on Azure services used | Pricing typically quote-based and enterprise-focused; public pricing is limited |
| Primary use case | Organizations standardized on Qlik Cloud that want embedded AutoML within Qlik workflows | Microsoft-centric organizations consolidating BI, data, and ML in Fabric/Azure | Organizations that require comprehensive enterprise AutoML and MLOps across many use cases |
| Key strength | Integration into Qlik dashboards, governed spaces, and explainability features | Low barrier to BI adoption for organizations already in Microsoft ecosystem; broad integrations | Depth in MLOps, monitoring, and deployment patterns for enterprise ML |
| Key weakness | Value depends on Qlik platform adoption and pricing/packaging; automation still requires ML literacy | Predictive modeling typically requires additional Azure services (not fully native in Power BI alone) | Higher complexity and cost; may exceed needs for organizations that only require a few embedded predictive models |
Where Qlik Predict tends to be most suitable:
Where alternatives often have advantages:
Competitive pressure on Qlik includes pricing complexity and relative presence in open-source hiring/communities, which can affect long-term talent availability.