Migrate from Looker to Omni 10x faster
Not a simple LookML-to-YAML syntax converter. A full AI-powered migration engine that handles dependency resolution, access grant detection, canonical term mapping, and rich metadata generation — built by the team that trained 16,000+ analytics engineers on Looker.
The problem
Why most Looker migrations fail
Messy LookML
Years of accumulated tech debt — missing primary keys, duplicated business logic, inconsistent naming, abandoned derived tables. Simple converters choke on this.
Hidden dependencies
Fields reference other fields, which reference other fields. Miss one dependency and your migrated YAML produces broken queries.
Security gaps
Access grants, row-level security, user attributes — all need to be detected and documented. A syntax converter ignores all of it.
How it works
Three-phase systematic migration
Phase 1
View Migration
Parse Looker views, apply 12 conversion rules, generate production-ready Omni YAML with migration reports. One view at a time — atomic, reviewable, safe.
Phase 2
Explore Analysis
Analyze explores and their join complexity. Suggest topic divisions based on size — small explores become single topics, large ones get split intelligently.
Phase 3
Topic Generation
Generate Omni topics with proper joins, relationships, and field lists. Transform SQL ON clauses and map Looker join types to Omni equivalents.
Capabilities
What sets this apart from a simple converter
CSV-Driven Scope Management
Define exactly what migrates and when. Phase your migration by team, priority, and owner — not a risky big-bang cutover.
Recursive Dependency Resolution
If Field A depends on Fields B and C, we auto-include them — even if they're not in scope yet. Every generated file is valid from day one.
100% Access Grant Detection
Row-level security, column-level security, user attributes — detected at explore, view, and field levels. Nothing slips through.
Rich AI Metadata Generation
Every field gets labels, descriptions, AI context, synonyms, sample values, and governance tags. Your Omni instance is AI-ready on arrival.
Canonical Term Mapping
Standardize business terminology across your entire migration. Rename fields, labels, and descriptions consistently — automatically.
Detailed Audit Trail
Every migration generates a report with risk assessment, change log, and a list of unsupported features flagged for manual review.
Comparison
Our migrator vs. basic converters
| Feature | Labs4Change Migrator | Basic Converters |
|---|---|---|
| Conversion approach | 3-phase systematic migration with AI co-pilot | One-shot syntax converter |
| Scope management | CSV-driven — phase by team, priority, owner | Paste and convert |
| Dependency resolution | Recursive — auto-includes dependent fields | None |
| Access grants / RLS | 100% detection at explore, view, and field level | Not handled |
| Derived tables | SQL and native — generates .view.yaml or .query.yaml | Basic support |
| Metadata | AI context, synonyms, sample values, governance tags | Passes through existing labels |
| Audit trail | Risk assessment, change log, not-converted list | None |
| Messy LookML handling | Flags issues, suggests fixes, handles edge cases | Fails or produces invalid YAML |
Results
95%+
of standard fields convert automatically. The remaining edge cases — Liquid templates, parameters, complex cross-view references — are flagged with explanations, not silently dropped.
Ready to migrate?
Get a free migration assessment
We'll review your LookML codebase, estimate complexity, and give you a realistic timeline. No commitment required.