Business Intelligence · head to head
Preset 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 Preset has a free tier, so it costs nothing to try first.
- Each has a real cost: Preset limited SQL IDE advanced features compared to specialized query tools; 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: Preset covers Managed Superset, Zenlytic covers Zoe conversational agent.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which Preset 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 Preset
- Managed Superset
- Auto-scaling
- Enterprise Security
- Custom Branding
- API Access
- Snowflake
- BigQuery
- Redshift
Only in Zenlytic
- Zoe conversational agent
- YAML semantic layer
- LookML import
- Row and column permissions
- Dashboards
- dbt integration
- Embedded analytics
- Query transparency
What people use each for
The jobs each tool is most often brought in to do.
Preset
- 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 Preset
- An ecommerce company where merchandisers need cohort and margin questions answered without waiting for an analystnot Preset
- A Looker customer looking for an exit that can import existing LookML rather than remodel from scratchnot Preset
- A finance team that needs every AI-generated number to show its SQL before it goes in a board packnot Preset
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Preset
- Limited SQL IDE advanced features compared to specialized query tools
- Viewer licenses add substantial cost for embedded analytics deployments
- Dataset-centric approach requires preprocessing by data teams for some use cases
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
Preset
FreeNo published plan breakdown. See the Preset review.
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 Preset if
- You need managed superset.
- You want to start without paying.
- You work on Web, Cloud.
- You also want auto-scaling.
Choose Zenlytic if
- You need zoe conversational agent.
- You also want yaml semantic layer.
Questions people ask
- Is Preset or Zenlytic better?
- Neither clearly leads. Preset 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, Preset or Zenlytic?
- Preset has a free tier; the other does not. Paid plans start at Free for Preset and On request for Zenlytic.
- Does Preset or Zenlytic run on more platforms?
- Preset runs on Web, Cloud. Zenlytic runs on Web.
- Can I use Preset for free?
- Yes. Preset has a free tier, so you can try it without paying. Zenlytic starts at On request.
- What is Preset best used for?
- Preset 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 Preset do that Zenlytic cannot?
- Preset covers Managed Superset, Auto-scaling, Enterprise Security, Custom Branding. Zenlytic covers Zoe conversational agent, YAML semantic layer, LookML import, Row and column permissions.
Answered from the vendors’ own pages
Preset: Is Preset free?
Preset offers a free tier for small teams called Starter with 5 users and no credit card required. Paid plans start at $25 per user per month.
SourceZenlytic: Does Zenlytic publish pricing?
No. Contracts are quoted annually based on seats and deployment scope.
Preset: Can I export my data from Preset?
Yes. Preset uses Apache Superset and the founders contribute over 75% of commits to the open-source project, enabling migration to Superset without vendor lock-in.
SourceZenlytic: Can it read my Looker model?
Yes, it imports LookML, which is the main reason Looker customers evaluate it.
Preset: Does Preset include embedded analytics?
Yes. Embedded dashboards are available on Professional and Enterprise plans, with viewer licenses starting at $500 per month for 50 licenses.
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.
Preset: What is the enterprise pricing for Preset?
Enterprise plans are custom quoted. The median buyer pays $35,495 per year.
SourceZenlytic: Do I need dbt?
Not strictly, but the product is designed around a modelled warehouse and works poorly without one.
Preset: Does Preset support AI-powered analytics?
Yes. As of 2026, Preset includes an AI Chatbot and MCP (Model Context Protocol) integration for building charts and dashboards via natural language.
SourceRelated pages
Other head to heads
- Preset vs Power BI
- Preset vs Amazon QuickSight
- Preset vs Domo
- Preset vs Oracle Analytics Cloud
- Preset vs Chartio
- Preset vs Reportz
- Preset vs Snowplow
- Preset vs Yellowfin
- Preset vs Zebra BI
- Preset vs Sisense
- Preset vs MicroStrategy
- Preset vs Qlik Sense
- Preset vs ThoughtSpot
- Preset vs Cube
- Preset vs Pigment
- Preset vs Deepnote
- Preset vs Evidence
- Preset vs Google Data Studio
- Preset vs Hex
- Preset vs Fabi
- Preset vs Lightdash
- Preset vs Phocas
- Preset vs Luzmo
- Preset vs Rill Data
- Preset vs Anaplan
- Preset vs Holistics
- Preset vs Jedox
- Preset vs Logi Analytics
- Preset vs NetBase Quid
- Zenlytic vs Power BI
- Zenlytic vs Amazon QuickSight
- Zenlytic vs Domo
- Zenlytic vs Oracle Analytics Cloud
- Zenlytic vs Chartio
- Zenlytic vs Reportz
- Zenlytic vs Snowplow
- Zenlytic vs Yellowfin
- Zenlytic vs Zebra BI
- Zenlytic vs Sisense
- Zenlytic vs MicroStrategy
- Zenlytic vs Qlik Sense
- Zenlytic vs ThoughtSpot
- Zenlytic vs Cube
- Zenlytic vs Pigment
- Zenlytic vs Deepnote
- Zenlytic vs Evidence
- Zenlytic vs Google Data Studio
- Zenlytic vs Hex
- Zenlytic vs Fabi
- Zenlytic vs Lightdash
- Zenlytic vs Phocas
- Zenlytic vs Luzmo
- Zenlytic vs Rill Data
- Zenlytic vs Anaplan
- Zenlytic vs Holistics
- Zenlytic vs Jedox
- Zenlytic vs Logi Analytics
- Zenlytic vs NetBase Quid