Business Intelligence · head to head
Evidence vs Zenlytic

Evidence
Business Intelligence
Business intelligence as code for teams and AI agents
- From
- $2500/month
- 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
- Each has a real cost: Evidence high starting price at $2,500/month limits small team adoption; 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: Evidence covers Analytics Agent, Zenlytic covers Zoe conversational agent.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which Evidence and Zenlytic actually diverge.
Identical on both: free tier (No), 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 Evidence
- Analytics Agent
- Code-based infrastructure
- Development environment
- Visualization tools
- Enterprise security
- Multi-channel access
Only in Zenlytic
- Zoe conversational agent
- YAML semantic layer
- LookML import
- Row and column permissions
- Dashboards
- dbt integration
- Query transparency
Both cover
- Embedded analytics
What people use each for
The jobs each tool is most often brought in to do.
Evidence
- Building version-controlled analytics infrastructurenot Zenlytic
- Enabling AI agents to answer business questionsnot Zenlytic
- Delivering analytics through multiple channels (web, Slack, ChatGPT)not Zenlytic
- Embedding white-labeled analytics in productsnot Zenlytic
Zenlytic
- A data team of three fielding sixty ad hoc requests a week from operators who could answer them in chat insteadnot Evidence
- An ecommerce company where merchandisers need cohort and margin questions answered without waiting for an analystnot Evidence
- A Looker customer looking for an exit that can import existing LookML rather than remodel from scratchnot Evidence
- A finance team that needs every AI-generated number to show its SQL before it goes in a board packnot Evidence
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Evidence
- High starting price at $2,500/month limits small team adoption
- No freemium option for evaluation or learning
- Code-based approach has steeper learning curve than visual tools
- AI credits limited on Team plan; additional credits cost extra
- Requires Git workflow familiarity for effective collaboration
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
Evidence
$2500/month- Team$2500/month
- Unlimited users
- Monthly billing
- Analytics Agent
- Enterprise$null/custom
- All Team features
- SSO/SAML authentication
- SCIM directory sync
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 Evidence if
- You need analytics agent.
- You work on Cloud, Embedded.
- You also want code-based infrastructure.
Choose Zenlytic if
- You need zoe conversational agent.
- You also want yaml semantic layer.
Questions people ask
- Is Evidence or Zenlytic better?
- Neither clearly leads. Evidence starts at $2500/month and Zenlytic at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Evidence or Zenlytic?
- Evidence starts at $2500/month and Zenlytic at On request.
- Does Evidence or Zenlytic run on more platforms?
- Evidence runs on Cloud, Embedded. Zenlytic runs on Web.
- What is Evidence best used for?
- Evidence is most often used for building version-controlled analytics infrastructure, enabling ai agents to answer business questions, delivering analytics through multiple channels (web, slack, chatgpt), embedding white-labeled analytics in products. Of those, building version-controlled analytics infrastructure and enabling ai agents to answer business questions are not what Zenlytic is typically brought in for.
- What can Evidence do that Zenlytic cannot?
- Evidence covers Analytics Agent, Code-based infrastructure, Development environment, Visualization tools. Zenlytic covers Zoe conversational agent, YAML semantic layer, LookML import, Row and column permissions. Both handle Embedded analytics.
Answered from the vendors’ own pages
Evidence: Does Evidence have per-user pricing?
No, Evidence offers one flat price for unlimited users at $2,500/month on the Team plan with a 30-day free trial.
SourceZenlytic: Does Zenlytic publish pricing?
No. Contracts are quoted annually based on seats and deployment scope.
Evidence: How many AI credits come with Team plan?
Team plan includes 20,000 AI credits monthly at $0.01 per additional credit. Enterprise offers custom credit packages.
SourceZenlytic: Can it read my Looker model?
Yes, it imports LookML, which is the main reason Looker customers evaluate it.
Evidence: What is included in the Enterprise plan?
Enterprise adds SSO/SAML, SCIM directory sync, row-level access rules, embedding capabilities, and custom deployment options at custom pricing.
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.
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