Business Intelligence · head to head
Lightdash vs Looker

Looker
Spreadsheets
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 no pricing published on website; quote-based model requires contacting Google Cloud sales
- They diverge on capability: Lightdash covers dbt Integration, Looker covers LookML Data Modeling.
- Prices and features above were last checked on 30 August 2026.
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
- No pricing published on website; quote-based model requires contacting Google Cloud sales
- Pricing typically based on user count, deployment type, and feature requirements with no transparency
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.
SourceLooker: How much does Looker cost?
Looker does not publish pricing on its website. The platform uses a custom quote model where organizations contact Google Cloud sales for personalized pricing. Pricing is typically based on factors including user count, deployment type (cloud-hosted versus self-hosted), and required feature set.
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.
SourceLooker: What are Looker's pricing tiers?
Looker offers subscription-based tiers typically including Standard with core BI capabilities, Advanced with enhanced features and integrations, and Premium with enterprise-grade features. Specific pricing and feature distinctions require contacting Google Cloud sales.
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
Other head to heads
- Lightdash vs Rill Data
- Lightdash vs Zenlytic
- Lightdash vs Power BI
- Lightdash vs Klipfolio
- Lightdash vs Domo
- Lightdash vs ThoughtSpot
- Lightdash vs Grow
- Lightdash vs Exa
- Lightdash vs Holistics
- Lightdash vs Logi Analytics
- Lightdash vs Sisense
- Lightdash vs Amazon QuickSight
- Lightdash vs Yellowfin
- Lightdash vs Zebra BI
- Lightdash vs Cube
- Lightdash vs Pigment
- Lightdash vs Metabase
- Lightdash vs Apache Superset
- Lightdash vs Tableau
- Lightdash vs Redash
- Lightdash vs Equals
- Lightdash vs Sigma Computing
- Lightdash vs NocoDB
- Lightdash vs Fibery
- Lightdash vs Baserow
- Lightdash vs Budibase
- Lightdash vs Numbers
- Lightdash vs Teable
- Lightdash vs Rowy
- Lightdash vs SeaTable
- Lightdash vs Coefficient
- Lightdash vs Cube Software
- Looker vs Rill Data
- Looker vs Zenlytic
- Looker vs Power BI
- Looker vs Klipfolio
- Looker vs Domo
- Looker vs ThoughtSpot
- Looker vs Grow
- Looker vs Exa
- Looker vs Holistics
- Looker vs Logi Analytics
- Looker vs Sisense
- Looker vs Amazon QuickSight
- Looker vs Yellowfin
- Looker vs Zebra BI
- Looker vs Cube
- Looker vs Pigment
- Looker vs Metabase
- Looker vs Apache Superset
- Looker vs Tableau
- Looker vs Redash
- Looker vs Equals
- Looker vs Sigma Computing
- Looker vs NocoDB
- Looker vs Fibery
- Looker vs Baserow
- Looker vs Budibase
- Looker vs Numbers
- Looker vs Teable
- Looker vs Rowy
- Looker vs SeaTable
- Looker vs Coefficient
- Looker vs Cube Software

