Business Intelligence · head to head
Deepnote vs Zenlytic

Deepnote
Business Intelligence
Collaborative cloud workspace for data analytics and machine learning
- From
- Free
- Rated
- -

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 Deepnote has a free tier, so it costs nothing to try first.
- Each has a real cost: Deepnote free plan limited to 3 editors, restricting team usage; 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: Deepnote covers Collaborative notebooks, Zenlytic covers Zoe conversational agent.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which Deepnote 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 Deepnote
- Collaborative notebooks
- Interactive dashboards
- Data agent building
- Scheduled pipelines
- Model management
- 100+ integrations
- GPU support
- API deployment
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.
Deepnote
- Data exploration and analysis workflowsnot Zenlytic
- Building interactive business intelligence dashboardsnot Zenlytic
- Collaborative machine learning model developmentnot Zenlytic
- Automating ETL and data pipeline orchestrationnot Zenlytic
- Creating shareable reports without exportsnot Zenlytic
Zenlytic
- A data team of three fielding sixty ad hoc requests a week from operators who could answer them in chat insteadnot Deepnote
- An ecommerce company where merchandisers need cohort and margin questions answered without waiting for an analystnot Deepnote
- A Looker customer looking for an exit that can import existing LookML rather than remodel from scratchnot Deepnote
- A finance team that needs every AI-generated number to show its SQL before it goes in a board packnot Deepnote
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Deepnote
- Free plan limited to 3 editors, restricting team usage
- Limited revision history on free plan compared to competitors
- Requires Team plan or higher for automated scheduling
- GPU support incurs additional charges beyond base subscription
- No mentioned offline capability
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
Deepnote
Free- FreeFree
- Up to 3 editors
- Up to 5 projects
- Limited Deepnote AI
- Team$39/month
- Unlimited viewers and notebooks
- Full Deepnote AI access
- Premium integrations
- Enterprise$null/custom
- Everything in Team plan
- Custom contracts
- Priority support
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 Deepnote if
- You need collaborative notebooks.
- You want to start without paying.
- You work on Web, API.
- You also want interactive dashboards.
Choose Zenlytic if
- You need zoe conversational agent.
- You also want yaml semantic layer.
Questions people ask
- Is Deepnote or Zenlytic better?
- Neither clearly leads. Deepnote 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, Deepnote or Zenlytic?
- Deepnote has a free tier; the other does not. Paid plans start at Free for Deepnote and On request for Zenlytic.
- Does Deepnote or Zenlytic run on more platforms?
- Deepnote runs on Web, API. Zenlytic runs on Web.
- Can I use Deepnote for free?
- Yes. Deepnote has a free tier, so you can try it without paying. Zenlytic starts at On request.
- What is Deepnote best used for?
- Deepnote is most often used for data exploration and analysis workflows, building interactive business intelligence dashboards, collaborative machine learning model development, automating etl and data pipeline orchestration. Of those, data exploration and analysis workflows and building interactive business intelligence dashboards are not what Zenlytic is typically brought in for.
- What can Deepnote do that Zenlytic cannot?
- Deepnote covers Collaborative notebooks, Interactive dashboards, Data agent building, Scheduled pipelines. Zenlytic covers Zoe conversational agent, YAML semantic layer, LookML import, Row and column permissions.
Answered from the vendors’ own pages
Deepnote: What is included in the free Deepnote plan?
The free plan includes up to 3 editors, up to 5 projects, limited Deepnote AI, basic machines with 5 GB RAM, and 7-day revision history.
SourceZenlytic: Does Zenlytic publish pricing?
No. Contracts are quoted annually based on seats and deployment scope.
Deepnote: What data sources can Deepnote integrate with?
Deepnote integrates with 100+ data sources including major data warehouses like Snowflake, BigQuery, and Redshift, as well as BI platforms like Looker, Tableau, and Power BI.
SourceZenlytic: Can it read my Looker model?
Yes, it imports LookML, which is the main reason Looker customers evaluate it.
Deepnote: Does Deepnote support collaboration?
Yes, Deepnote provides real-time collaborative notebooks where multiple team members can work simultaneously. The Team plan allows unlimited viewers and notebooks.
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.
Deepnote: What compliance certifications does Deepnote have?
Deepnote is SOC 2, HIPAA, GDPR, and CCPA compliant and offers role-based access control, single sign-on, and directory synchronization.
SourceZenlytic: Do I need dbt?
Not strictly, but the product is designed around a modelled warehouse and works poorly without one.
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