Business Intelligence · head to head
Mode 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 Mode has a free tier, so it costs nothing to try first.
- Each has a real cost: Mode free tier limited to 4GB RAM and 1 CPU for SQL notebooks, insufficient for large datasets; 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: Mode covers SQL Editor, Zenlytic covers Zoe conversational agent.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which Mode and Zenlytic actually diverge.
Identical on both: platforms (Web), 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 Mode
- SQL Editor
- Python/R Notebooks
- Interactive Reports
- Version Control
- Scheduling
- Snowflake
- Redshift
- BigQuery
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.
Mode
- 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 Mode
- An ecommerce company where merchandisers need cohort and margin questions answered without waiting for an analystnot Mode
- A Looker customer looking for an exit that can import existing LookML rather than remodel from scratchnot Mode
- A finance team that needs every AI-generated number to show its SQL before it goes in a board packnot Mode
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Mode
- Free tier limited to 4GB RAM and 1 CPU for SQL notebooks, insufficient for large datasets
- Requires SQL knowledge for most analysis tasks, creating dependency on technical resources
- Paid plan pricing not publicly listed; requires sales consultation
- Recently acquired by ThoughtSpot in 2026, creating product direction uncertainty
- Limited customization options for visual aspects and embedded analytics
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
Mode
Free- FreeFree
- SQL Editor
- Python/R Notebooks
- Basic Charts
- Business$65/month
- Advanced Visualizations
- Collaboration
- Integrations
Zenlytic
On request- Zenlytic$undefined/year
- Annual contract quoted by seats and deployment
- Semantic layer, dashboards and Zoe included
- Embedded analytics licensed separately
Which should you pick?
Choose Mode if
- You need sql editor.
- You want to start without paying.
- You also want python/r notebooks.
Choose Zenlytic if
- You need zoe conversational agent.
- You also want yaml semantic layer.
Questions people ask
- Is Mode or Zenlytic better?
- Neither clearly leads. Mode 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, Mode or Zenlytic?
- Mode has a free tier; the other does not. Paid plans start at Free for Mode and On request for Zenlytic.
- Does Mode or Zenlytic run on more platforms?
- Both run on Web, so platform support will not decide this one for you.
- Can I use Mode for free?
- Yes. Mode has a free tier, so you can try it without paying. Zenlytic starts at On request.
- What is Mode best used for?
- Mode 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 Mode do that Zenlytic cannot?
- Mode covers SQL Editor, Python/R Notebooks, Interactive Reports, Version Control. Zenlytic covers Zoe conversational agent, YAML semantic layer, LookML import, Row and column permissions.
Answered from the vendors’ own pages
Mode: What languages does Mode support for analysis?
Mode notebooks support SQL, Python (3.11 with pandas, NumPy, scikit-learn, matplotlib), and R (4.2.0 with ggplot2, dplyr, tidyr). Both Python and R allow additional library installation at runtime.
SourceZenlytic: Does Zenlytic publish pricing?
No. Contracts are quoted annually based on seats and deployment scope.
Mode: Can I integrate Mode notebook results into reports?
Yes. Mode allows adding notebook cell results directly to reports, with synchronized scheduling so reports re-run to keep data current.
SourceZenlytic: Can it read my Looker model?
Yes, it imports LookML, which is the main reason Looker customers evaluate it.
Mode: Does Mode support collaborative analysis?
Yes. Mode notebooks provide moveable code blocks and markdown cells enabling exploratory analysis and team collaboration on data queries and visualizations.
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.
Zenlytic: Do I need dbt?
Not strictly, but the product is designed around a modelled warehouse and works poorly without one.
Related pages
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- Mode vs Holistics
- Zenlytic vs Periscope Data
- Zenlytic vs Domo
- Zenlytic vs Fabi
- Zenlytic vs Deepnote
- Zenlytic vs Yellowfin
- Zenlytic vs TIBCO Spotfire
- Zenlytic vs Hex
- Zenlytic vs GoodData
- Zenlytic vs Grow
- Zenlytic vs Qlik Sense
- Zenlytic vs Databox
- Zenlytic vs Cube
- Zenlytic vs Jedox
- Zenlytic vs Logi Analytics
- Zenlytic vs Luzmo
- Zenlytic vs NetBase Quid
- Zenlytic vs Phocas
- Zenlytic vs Preset
- Zenlytic vs ThoughtSpot
- Zenlytic vs Evidence
- Zenlytic vs Lightdash
- Zenlytic vs Pigment
- Zenlytic vs Rill Data
- Zenlytic vs MicroStrategy
- Zenlytic vs Anaplan
- Zenlytic vs Holistics

