- Accelerate your QlikView to Power BI migration with Port BI
- Pre migration assessment: QlikView to Power BI migration
- Step-by-step Qlik View to Power BI migration process
- Additional resources:
- Why migrate from QlikView to Power BI in 2026
- Post migration support: QlikView to Power BI
- QlikView vs Power BI: Key technical differences
- Frequently asked questions: QlikView to Power BI Migration
- Number of apps and documents - How many QVW files exist? How many are actively used?
- Data sources - SQL Server, Oracle, flat files, APIs, QVD files? List every source.
- QVD dependencies - Map out which QVD files feed which apps. This is the ETL dependency tree.
- Section Access rules - Document who can see what data.
- Scheduled reload frequency - Which apps refresh hourly, daily, weekly?
| Tier | Description | Migration Approach |
|---|---|---|
| Tier 1 | Critical, high-usage, complex | Migrate first with full testing |
| Tier 2 | Important, moderate complexity | Migrate in Phase 2 |
| Tier 3 | Low usage or near redundant | Retire or defer |
- How many users are consuming QlikView vs. building in it?
- What is their technical proficiency?
- Are there power users who do advanced Set Analysis? They'll need DAX training.
- Is there a change management process in place?
- All Tier 1 reports migrated and validated
- Zero KPI discrepancy between QlikView and Power BI outputs (within tolerance)
- All users trained and onboarded
- QlikView decommissioned by target date.
| Feature | QlikView | Power BI |
|---|---|---|
| Data Model | Associative Engine; indexes all relationships in memory. | Tabular Model (VertiPaq); explicit directional relationships (star/snowflake schema). |
| Query Language | Set Analysis; proprietary syntax for scoping calculations. | DAX; more verbose, deeply integrated with the tabular model. |
| ETL & Data Loading | Scripting language with QVD files. | Power Query (M), Dataflows, or Fabric pipelines (PySpark/SQL). |
| Visualization Philosophy | Developer-driven creation with high customization effort. | Drag-and-drop friendly; custom AppSource visuals. |
| Security Model | Section Access; security embedded directly in the load script. | Row-Level Security (RLS); DAX-based filters integrating with Azure AD. |
- Q: What is the QlikView to Power BI migration process?
- A: It is the process of transforming and transferring analytics assets, reports, and data workflows from QlikView to the Microsoft Power BI ecosystem. It is considered a rebuilding and modernization exercise to transform legacy BI assets into a more scalable, cloud-ready, and interactive analytics environment.
- Q: Why is 2026 the right time to migrate from QlikView to Power BI?
- A: Key drivers include QlikView being in maintenance mode with an end-of-support deadline of September 30, 2027, significant licensing cost reductions (Power BI Pro is often bundled with Microsoft 365 E3/E5), and the advantage of Power BI's native integration with Microsoft Fabric and the broader Microsoft ecosystem.
- Q: What is the main technical difference between QlikView and Power BI data models?
- A: QlikView is built on a proprietary Associative Engine that indexes all relationships in memory. Power BI uses a Tabular Model (VertiPaq) which requires explicit, directional relationships, ideally structured in a star/snowflake schema.
- Q: How does Port BI automate and accelerate the migration?
- A: Port BI is an automation tool that helps convert QlikView applications (.qvw), QVD files, dashboards, data models, and load scripts into Power BI reports (.pbix). It delivers up to 100% automated migration and ensures a minimum of 70% migration acceleration, significantly reducing manual redevelopment effort.
- Q: What are the key steps in the Pre-Migration Assessment?
- A: A thorough audit involves four key steps: Inventorying the QlikView environment (apps, data sources, QVD dependencies, security rules), classifying applications by priority (Tier 1, 2, 3), assessing user readiness (e.g., DAX training needs), and defining clear success metrics.