Migration Services
Tableau to Looker Migration Services
Move Tableau dashboards, calculations, data sources, and reporting workflows to Looker through a structured migration focused on trusted metrics and user adoption.
Migration Services
Move Tableau dashboards, calculations, data sources, and reporting workflows to Looker through a structured migration focused on trusted metrics and user adoption.
Why Looker?
Define dimensions, measures, calculations, and relationships centrally in LookML instead of recreating logic across individual workbooks.
Give users controlled access to explore trusted data and answer new questions without rebuilding every dashboard.
Manage analytics models as code with development workflows, testing, review, and Git-based version control.
Connect Looker with BigQuery, Google Cloud services, embedded applications, APIs, and Gemini-enabled analytics capabilities.
How We Migrate
Review Tableau sites, projects, workbooks, dashboards, data sources, extracts, calculations, permissions, usage, and business ownership.
Identify high-value content, duplicated reports, unused assets, critical metrics, migration waves, and dashboards suitable for retirement.
Translate Tableau data logic into governed LookML models, Explores, dimensions, measures, joins, access rules, and reusable business definitions.
Recreate priority dashboards and compare filters, calculations, totals, visual behavior, permissions, performance, and user workflows.
Release Looker content in phases, train users, monitor adoption, optimize models, and retire approved Tableau assets.
Why Codimite?
Codimite combines Google Cloud expertise, semantic modeling, analytics engineering, and change management to modernize the complete BI environment.
Start Your MigrationMetric and Logic Discovery. We identify calculations, definitions, filters, parameters, and dependencies hidden across Tableau workbooks and data sources.
Governed Semantic Modeling. We create reusable LookML models that provide consistent definitions across dashboards, teams, and applications.
Experience-Led Dashboard Redesign. We rebuild essential analytical experiences around user decisions instead of reproducing every Tableau visual exactly.
Adoption and Governance. We establish content ownership, access controls, development standards, training, and release processes for long-term Looker adoption.
Platform Comparison
Both platforms support enterprise business intelligence, but Looker places greater emphasis on governed semantic modeling, reusable metrics, and analytics development workflows.
| Area | Tableau | Looker |
|---|---|---|
| Platform approach | Visual analytics platform centered on workbooks, dashboards, and data sources | Business intelligence platform centered on a governed semantic model and reusable data experiences |
| Semantic layer | Logic may exist in published data sources, calculations, workbooks, or external models | LookML centrally defines dimensions, measures, calculations, joins, and business relationships |
| Metric consistency | Definitions may be repeated or vary between workbooks and teams | Reusable modeled metrics support consistent definitions across dashboards and users |
| Development model | Primarily visual authoring through Tableau Desktop and web authoring | Code-based LookML development combined with browser-based exploration and dashboard creation |
| Version control | Workbook and content revision capabilities vary by workflow and deployment | Native Git-based workflows support review, versioning, collaboration, and controlled deployment |
| Self-service analytics | Users build visualizations from connected or published data sources | Users explore governed fields and relationships exposed through curated Explores |
| Dashboard migration | Existing content is stored as Tableau workbooks and dashboards | Priority dashboards are rebuilt using Looker models, Looks, and dashboards |
| Data architecture | Supports extracts and live connections across many data platforms | Queries data where it resides and applies centrally governed LookML definitions |
| Embedded analytics | Provides embedding options for Tableau visualizations and analytics | APIs, SDKs, extensions, and embedding support analytics inside products and workflows |
| Google Cloud integration | Connects to BigQuery and other Google Cloud data sources | Closely integrated with BigQuery and the broader Google Cloud data and AI ecosystem |
| AI capabilities | AI capabilities depend on the Tableau and Salesforce product environment | Gemini-enabled capabilities can support conversational and assisted analytics in eligible Looker environments |
| Infrastructure | Tableau Server is self-managed; Tableau Cloud is managed SaaS | Looker is available as a managed BI platform, including Looker on Google Cloud |
| Governance | Uses sites, projects, permissions, certified sources, and content-management practices | Combines permissions with governed LookML models, reusable definitions, and development controls |
| Best suited for | Flexible visual analysis and dashboard-centric BI workflows | Governed enterprise metrics, reusable analytics models, embedded BI, and Google Cloud-aligned analytics |
FAQs
Codimite can migrate priority dashboards, workbook logic, calculated fields, parameters, filters, data connections, permissions, schedules, and reporting workflows.
There is no complete one-click conversion from Tableau to Looker. Existing workbook definitions can support discovery, but the semantic model, calculations, dashboards, and user experience must be rebuilt and validated.
Calculated fields are mapped to LookML measures, dimensions, table calculations, derived tables, or the underlying data platform. Published data sources, joins, relationships, and permissions are translated into governed LookML models.
Not necessarily. We assess usage, duplication, business value, complexity, performance, and ownership to determine which dashboards should be migrated, consolidated, redesigned, or retired.
Looker supports a broad range of visualizations and governed self-service analysis through Explores. Some Tableau-specific interactions or designs may require redesign or custom visualization development.
We compare filters, totals, calculations, dimensions, measures, permissions, refresh behavior, performance, and expected business outcomes before production release.
Assess your Tableau environment and build a practical roadmap for semantic modeling, dashboard migration, validation, governance, and user adoption.
Start Your Migration
