Business Intelligence · head to head
Lightdash vs Zenlytic
Zenlytic
Business Intelligence
Conversational analytics on a governed semantic layer that shows you the SQL it ran
- 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; Zenlytic answer quality is bounded by the semantic model, so a team without a maintained dbt project and metric definitions must complete a modelling project before the AI is useful at all.
- They diverge on capability: Lightdash covers dbt Integration, Zenlytic covers Zoe conversational agent.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which Lightdash and Zenlytic actually diverge.
Identical on both: user rating (Not yet rated), category (Business Intelligence).
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
- Scheduling
- Version Control
- dbt
- BigQuery
- Snowflake
- Redshift
Only in Zenlytic
- Zoe conversational agent
- YAML semantic layer
- LookML import
- Row and column permissions
- dbt integration
- Embedded analytics
- Query transparency
Both cover
- Dashboards
What people use each for
The jobs each tool is most often brought in to do.
Lightdash
- Self-service analyticsnot Zenlytic
- Data explorationnot Zenlytic
- Ad-hoc reportingnot Zenlytic
- Collaborative analysisnot Zenlytic
- Embedded analyticsnot Zenlytic
Zenlytic
- A data team of three fielding sixty ad hoc requests a week from operators who could answer them in chat insteadnot Lightdash
- An ecommerce company where merchandisers need cohort and margin questions answered without waiting for an analystnot Lightdash
- A Looker customer looking for an exit that can import existing LookML rather than remodel from scratchnot Lightdash
- A finance team that needs every AI-generated number to show its SQL before it goes in a board packnot 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
Zenlytic
- Answer quality is bounded by the semantic model, so a team without a maintained dbt project and metric definitions must complete a modelling project before the AI is useful at all.
- It is a small venture-funded company in a category that Snowflake, Databricks and Microsoft are all building into natively, which is a real procurement risk on a multi-year contract.
- Pricing is not published and is negotiated per deal, so small buyers have no benchmark and no leverage.
- The visualisation and dashboard layer is thinner than established BI tools, so teams wanting pixel control over reporting will find it limiting.
- It assumes a cloud data warehouse; organisations with data spread across operational databases and spreadsheets have to consolidate first, which is the expensive part of the project.
Pricing, plan by plan
Lightdash
Free- Open SourceFree
- MIT-licensed core
- Self-hostable
- dbt integration
- Cloud Managed$undefined/mo
- Managed hosting
- Premium features
- AI agent capabilities
Zenlytic
On request- Zenlytic$undefined/year
- Annual contract quoted by seats and deployment
- Semantic layer, dashboards and Zoe included
- Embedded analytics licensed separately
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 Zenlytic if
- You need zoe conversational agent.
- You also want yaml semantic layer.
Questions people ask
- Is Lightdash or Zenlytic better?
- Neither clearly leads. Lightdash starts at Free and Zenlytic at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Lightdash or Zenlytic?
- Lightdash has a free tier; the other does not. Paid plans start at Free for Lightdash and On request for Zenlytic.
- Does Lightdash or Zenlytic run on more platforms?
- Lightdash runs on Web, Cloud (managed), Self-hosted (on-premise). Zenlytic runs on Web.
- Can I use Lightdash for free?
- Yes. Lightdash has a free tier, so you can try it without paying. Zenlytic 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 Zenlytic is typically brought in for.
- What can Lightdash do that Zenlytic cannot?
- Lightdash covers dbt Integration, Metrics Layer, Scheduling, Version Control. Zenlytic covers Zoe conversational agent, YAML semantic layer, LookML import, Row and column permissions. Both handle Dashboards.
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.
SourceZenlytic: Does Zenlytic publish pricing?
No. Contracts are quoted annually based on seats and deployment scope.
Lightdash: 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.
SourceZenlytic: Can it read my Looker model?
Yes, it imports LookML, which is the main reason Looker customers evaluate it.
Lightdash: 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.
SourceZenlytic: Does it write arbitrary SQL against my warehouse?
No. Queries are constrained to the semantic layer, and the generated SQL is shown with every answer.
Lightdash: 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.
SourceZenlytic: Do I need dbt?
Not strictly, but the product is designed around a modelled warehouse and works poorly without one.
Lightdash: 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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