MetaLens vs Lightdash
Lightdash builds the metric layer. We audit what you already shipped.
Lightdash is a dbt-native BI tool — you define metrics in YAML, the dashboards follow. MetaLens looks at the Metabase instance you're already running, scores its health, and helps you clean it up. Both can live in the same stack.
Pick Lightdash when…
- You're starting fresh and want metrics defined in dbt YAML, not in a BI UI.
- Your team is already heavy dbt users and wants tighter integration.
- You're picking a primary BI tool and Metabase isn't the answer for you.
Pick MetaLens when…
- You're committed to Metabase and need to clean it up, not replace it.
- You want an AI-generated audit deck for the board this quarter.
- You don't have dbt yet (or you do, but the chaos is in the BI layer not the warehouse).
Feature
MetaLens
Lightdash
Core purpose
BI / dashboarding tool
dbt-native metric layer
Audit & governance for existing Metabase
Works alongside Metabase
Audit & cleanup
Health score for current instance
Duplicate dashboard/question detection
Stale content surfacing & archive workflow
Auto-generated docs for tables/columns
Modeling & metric layer
Define metrics in dbt YAML
Metric tree visualization for existing data
AI chat against schema
Pricing & onboarding
Self-serve from $149/mo
One-time $999 audit option
First scan in under 2 minutes
14-day money-back guarantee
The honest version: if your problem is "we don't have a metric layer", Lightdash (or Cube, or dbt Semantic Layer) is the conversation. If your problem is "Metabase has 1,800 questions and nobody trusts the numbers", that's MetaLens. Both can coexist — define metrics in dbt + Lightdash, then run MetaLens on the Metabase you keep around for self-serve.
Want to see your numbers?
Free X-Ray scan. No credit card. Connect, scan, decide. Two minutes.
Scan your MetabaseLightdash is a trademark of Lightdash Inc. We're not affiliated.