Softwr

Business Intelligence · head to head

Sisense vs Zenlytic

Sisense logo

Sisense

Business Intelligence

Infuse analytics everywhere

From
$10000/year
Rated
-
Full reviewWebsite
Zenlytic logo

Zenlytic

Business Intelligence

Conversational analytics on a governed semantic layer that shows you the SQL it ran

From
On request
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Sisense pricing lacks transparency with opaque scaling costs and hidden fees for onboarding and training; 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: Sisense covers Embedded Analytics, Zenlytic covers Zoe conversational agent.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Sisense and Zenlytic actually diverge.

Attributes where Sisense and Zenlytic differ
AttributeSisenseZenlytic
Starting price$10000/yearOn request
Pricing modelUnknownquote
PlatformsWeb, Cloud, On-premisesWeb
Founded2004Unknown

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 Sisense

  • Embedded Analytics
  • AI/ML Integration
  • In-chip Technology
  • White-labeling
  • REST API
  • Snowflake
  • AWS
  • Azure

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.

Sisense

  • 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 Sisense
  • An ecommerce company where merchandisers need cohort and margin questions answered without waiting for an analystnot Sisense
  • A Looker customer looking for an exit that can import existing LookML rather than remodel from scratchnot Sisense
  • A finance team that needs every AI-generated number to show its SQL before it goes in a board packnot Sisense

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Sisense

  • Pricing lacks transparency with opaque scaling costs and hidden fees for onboarding and training
  • Limited connector ecosystem compared to competitors; missing native connectors to many data sources
  • Dashboard customization options are limited; widgets cannot span multiple rows, restricting layout possibilities
  • Performance issues reported with large datasets and stability problems with data cubes

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

Sisense

$10000/year
  • Small Team$10000/year minimum
    • Basic analytics dashboards
    • Limited data sources
  • Mid-Market$undefined/custom
    • Advanced analytics
    • Multiple data sources
    • Custom integrations
  • Enterprise$60000/year+
    • Advanced AI analytics
    • Premium support
    • Custom development

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 Sisense if

  • You need embedded analytics.
  • You work on Web, Cloud, On-premises.
  • You also want ai/ml integration.
Sisense review

Choose Zenlytic if

  • You need zoe conversational agent.
  • You also want yaml semantic layer.
Zenlytic review

Questions people ask

Is Sisense or Zenlytic better?
Neither clearly leads. Sisense starts at $10000/year and Zenlytic at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Sisense or Zenlytic?
Sisense starts at $10000/year and Zenlytic at On request.
Does Sisense or Zenlytic run on more platforms?
Sisense runs on Web, Cloud, On-premises. Zenlytic runs on Web.
What is Sisense best used for?
Sisense 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 Sisense do that Zenlytic cannot?
Sisense covers Embedded Analytics, AI/ML Integration, In-chip Technology, White-labeling. Zenlytic covers Zoe conversational agent, YAML semantic layer, LookML import, Row and column permissions.

Answered from the vendors’ own pages

Sisense: What is Sisense primarily used for?

Sisense is an embedded analytics platform that combines data ingestion, modeling, and dashboarding, allowing organizations to embed analytics and insights directly into their applications and workflows.

Source
Zenlytic: Does Zenlytic publish pricing?

No. Contracts are quoted annually based on seats and deployment scope.

Sisense: Does Sisense have a transparent pricing model?

Sisense pricing is not publicly listed and requires contacting sales. Typical costs start at $10,000 per year for small teams but can scale to $60,000+ annually depending on users, data volume, number of data sources, and complexity. AI capabilities typically add 20-30% to base costs.

Source
Zenlytic: Can it read my Looker model?

Yes, it imports LookML, which is the main reason Looker customers evaluate it.

Sisense: What data sources can Sisense connect to?

Sisense provides pre-built connectors for popular applications including Salesforce, Google Analytics, Zendesk, and others. It also supports custom connections through APIs and SDKs for specialized data sources.

Source
Zenlytic: 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.

Sisense: Is Sisense easy to use for non-technical users?

Sisense requires significant technical expertise to set up, particularly for creating Elasticubes (database caches) which often need SQL code. While it promotes codeless reporting, typical implementations require a technical resource.

Source
Zenlytic: Do I need dbt?

Not strictly, but the product is designed around a modelled warehouse and works poorly without one.

Share

Related pages

More on Sisense

More on Zenlytic

Keep looking

Other head to heads