Migration Services
Qlik to Looker Migration Services
Move Qlik apps, data models, expressions, and dashboards to Looker through a structured migration focused on trusted metrics, governed analytics, and user adoption.
Migration Services
Move Qlik apps, data models, expressions, and dashboards to Looker through a structured migration focused on trusted metrics, governed analytics, and user adoption.
Why Looker?
Define dimensions, measures, calculations, joins, and business rules centrally in LookML.
Allow users to explore trusted data through curated Explores without bypassing approved definitions.
Manage analytics changes through Git-based development, validation, review, and deployment workflows.
Extend governed analytics into applications and workflows using Looker embedding, APIs, and Gemini capabilities.
How We Migrate
Review Qlik apps, sheets, stories, data models, load scripts, expressions, variables, extensions, permissions, and usage.
Identify critical apps, duplicated content, shared metrics, unused assets, technical dependencies, and migration waves.
Translate Qlik data models, dimensions, measures, relationships, and business rules into governed LookML views, models, and Explores.
Recreate priority dashboards and compare expressions, filters, selections, totals, permissions, performance, and business outcomes.
Release Looker content in phases, train users, monitor adoption, optimize models, and retire approved Qlik assets.
Why Codimite?
Codimite combines Google Cloud expertise, semantic modeling, analytics engineering, and adoption planning to modernize the complete BI environment.
Start Your MigrationQlik Logic Discovery. We identify expressions, variables, load scripts, associations, dimensions, measures, and dependencies across Qlik apps.
Governed LookML Architecture. We create reusable LookML models that provide consistent metrics across dashboards, departments, and embedded experiences.
User Experience Redesign. We rebuild analytical experiences around business decisions instead of reproducing every Qlik sheet exactly.
Governance and Adoption. We establish access controls, content ownership, development standards, training, and release processes for long-term Looker adoption.
Platform Comparison
Both platforms support enterprise analytics, but Looker places stronger emphasis on governed semantic modeling, reusable metrics, and development workflows.
| Area | Qlik | Looker |
|---|---|---|
| Platform approach | App-based analytics platform built around associative exploration and visual analysis | Governed BI platform built around reusable semantic models and trusted data experiences |
| Data model | Data models are commonly created within individual Qlik apps | LookML models centrally define relationships, fields, calculations, and business rules |
| Metric consistency | Master dimensions and measures can be reused within apps, but definitions may differ across environments | Centralized LookML definitions support consistent metrics across dashboards, users, and applications |
| Analytics experience | Users explore data through selections, associations, sheets, and visualizations | Users explore governed dimensions and measures through curated Explores |
| Development model | Uses visual app development, data load scripts, expressions, and extensions | Uses code-based LookML development with browser-based analytics creation |
| Version control | Versioning depends on deployment model, source-control practices, and supporting tools | Native Git integration supports branching, review, validation, and controlled deployment |
| Data preparation | Load scripts transform and load data into Qlik applications | Transformations can be handled in LookML, derived tables, or the underlying data platform |
| Data storage | Qlik apps may load and store data within proprietary application files | Looker generally queries data directly from the connected database or warehouse |
| Calculations | Uses Qlik expressions, variables, set analysis, dimensions, and measures | Uses LookML dimensions, measures, derived tables, table calculations, and SQL |
| Dashboard migration | Existing analytics are organized as apps, sheets, stories, and visualizations | Priority experiences are rebuilt using Looker models, Looks, dashboards, and Explores |
| Self-service analytics | Users explore associated and excluded values within Qlik applications | Users answer new questions within governed models and approved data relationships |
| Embedded analytics | Supports embedded and custom analytics through Qlik APIs and development tools | Provides APIs, SDKs, extensions, signed embedding, and private embedding options |
| Google Cloud integration | Connects to supported Google Cloud databases and services | Closely integrated with BigQuery and the wider Google Cloud data and AI ecosystem |
| AI capabilities | AI capabilities depend on the selected Qlik environment and licensing | Supports Gemini-assisted LookML development and eligible Gemini analytics experiences |
| Governance | Uses spaces, streams, applications, permissions, and deployment-specific controls | Combines permissions with centrally governed LookML models and development controls |
| Best suited for | Associative exploration, app-based analytics, and interactive visual discovery | Governed enterprise metrics, reusable semantic models, embedded BI, and Google Cloud analytics |
FAQs
Codimite can migrate priority Qlik apps, sheets, dashboards, expressions, variables, dimensions, measures, data models, permissions, and reporting workflows.
There is no complete one-click conversion from Qlik to Looker. Existing Qlik metadata can support discovery, but LookML models, calculations, dashboards, and analytical experiences must be rebuilt and validated.
Load scripts may move to BigQuery SQL, Dataform, Dataflow, or LookML derived tables. Expressions, variables, set analysis, and associative relationships are redesigned as governed LookML dimensions, measures, joins, and Explores.
Not necessarily. We assess usage, duplication, business value, complexity, ownership, extensions, and dependencies to determine which apps should be migrated, consolidated, redesigned, or retired.
Looker uses governed Explores rather than Qlik's associative engine. Core analytical outcomes can be preserved, but some interactions, extensions, and visualizations may require redesign or custom development.
We compare dimensions, measures, filters, expressions, totals, permissions, refresh behavior, performance, and expected business outcomes before production release.
Assess your Qlik environment and build a practical roadmap for semantic modeling, dashboard migration, validation, governance, and user adoption.
Start Your Migration
