Business Intelligence · head to head
Lightdash vs Looker

Looker
Spreadsheet & Data
Modern business intelligence platform by Google
- From
- On request
- Rated
- -
The short version
- Only Lightdash has a free tier, so it costs nothing to try first.
- Each has a real cost: Lightdash requires existing dbt infrastructure, not suitable for teams without data models; Looker requires annual commitment with no month-to-month billing option
- They diverge on capability: Lightdash covers dbt Integration, Looker covers LookML Data Modeling.
Where they differ
Only the attributes on which Lightdash and Looker actually diverge.
Identical on both: pricing model (Unknown), user rating (Not yet rated).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Lightdash
- dbt Integration
- Metrics Layer
- Dashboards
- Scheduling
- dbt
- Databricks
- Self-hosted support
- Cloud support
Only in Looker
- LookML Data Modeling
- Embedded Analytics
- API Access
- Data Actions
- MySQL
- Salesforce
- Mobile support
- Api support
Both cover
- Version Control
- BigQuery
- Snowflake
- Redshift
- PostgreSQL
- Web support
What people use each for
The jobs each tool is most often brought in to do.
Lightdash
- Self-service analyticsnot Looker
- Data explorationnot Looker
- Ad-hoc reportingnot Looker
- Collaborative analysisnot Looker
- Embedded analyticsnot Looker
Looker
- Business intelligence and interactive dashboards for data-driven decision makingnot Lightdash
- Embedded analytics for integrating BI capabilities into third-party applicationsnot Lightdash
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Lightdash
- Requires existing dbt infrastructure, not suitable for teams without data models
- Enterprise features and AI agents unavailable in open-source MIT-licensed core
Looker
- Requires annual commitment with no month-to-month billing option
- Conversational analytics will incur token overage charges ($3.00 per 1M input tokens, $20.00 per 1M output tokens) after October 1, 2026
Pricing, plan by plan
Lightdash
Free- Open SourceFree
- MIT-licensed core
- Self-hostable
- dbt integration
- Cloud Managed$undefined/mo
- Managed hosting
- Premium features
- AI agent capabilities
Looker
On requestNo published plan breakdown. See the Looker review.
Which should you pick?
Choose Lightdash if
- You need dbt integration.
- You want to start without paying.
- You work on Web, Cloud (managed), Self-hosted (on-premise).
- You also want metrics layer.
Choose Looker if
- You need lookml data modeling.
- You work on Web, Cloud (Google Cloud Platform).
- You also want embedded analytics.
Questions people ask
- Is Lightdash or Looker better?
- Neither clearly leads. Lightdash starts at Free and Looker at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Lightdash or Looker?
- Lightdash has a free tier; the other does not. Paid plans start at Free for Lightdash and On request for Looker.
- Does Lightdash or Looker run on more platforms?
- Lightdash runs on Web, Cloud (managed), Self-hosted (on-premise). Looker runs on Web, Cloud (Google Cloud Platform).
- Can I use Lightdash for free?
- Yes. Lightdash has a free tier, so you can try it without paying. Looker starts at On request.
- What is Lightdash best used for?
- Lightdash is most often used for self-service analytics, data exploration, ad-hoc reporting, collaborative analysis. Of those, self-service analytics and data exploration are not what Looker is typically brought in for.
- What can Lightdash do that Looker cannot?
- Lightdash covers dbt Integration, Metrics Layer, Dashboards, Scheduling. Looker covers LookML Data Modeling, Embedded Analytics, API Access, Data Actions. Both handle Version Control, BigQuery, Snowflake, Redshift.
Answered from the vendors’ own pages
Lightdash: Is Lightdash free?
Yes. Lightdash is free and open source under the MIT license. Self-hosting is completely free. Managed cloud services and enterprise features require separate licensing.
SourceLightdash: How does Lightdash integrate with dbt?
Lightdash reads dbt models and metric definitions directly. A team defines metrics once in dbt and reuses them across dashboards, exploration, and AI agents without redefinition.
SourceLightdash: Does Lightdash support SQL queries?
Yes. As a modern BI platform for analysts, Lightdash supports full SQL capabilities alongside dbt model exploration and visual query builders.
SourceLightdash: What are Lightdash AI agents?
Lightdash AI agents, available on paid plans, allow natural language queries against your data, generating SQL and visualizations automatically from questions.
SourceLightdash: Can Lightdash be self-hosted?
Yes. Lightdash's MIT-licensed core is completely self-hostable and free. Enterprise features and AI agents ship under separate licensing.
SourceRelated pages
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