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Business Intelligence · head to head

Jedox vs Zenlytic

Jedox logo

Jedox

Business Intelligence

Excel-native planning and OLAP modelling for finance teams that refuse to leave spreadsheets

From
On request
Rated
-
Zenlytic logo

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: Jedox cube modelling is a specialist skill closer to IBM TM1 than to a modern SaaS planning tool, so most customers depend on a partner or a single internal expert whose departure leaves the model unmaintainable.; 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: Jedox covers In-memory OLAP cube, Zenlytic covers Zoe conversational agent.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Jedox and Zenlytic actually diverge.

Attributes where Jedox and Zenlytic differ
AttributeJedoxZenlytic
PlatformsWeb, Windows, Linux, CloudWeb

Identical on both: starting price (On request), pricing model (quote), 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 Jedox

  • In-memory OLAP cube
  • Excel add-in
  • Web spreadsheet
  • Integrator ETL
  • Workflow and approvals
  • AIssisted planning
  • Financial consolidation
  • Report designer

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.

Jedox

  • A manufacturer whose budget process is hundreds of Excel files emailed between plants and needs one governed cube without retraining plant controllersnot Zenlytic
  • A mid-market group doing statutory consolidation and management reporting on the same data instead of in two systemsnot Zenlytic
  • A finance team that priced IBM Planning Analytics, found it unaffordable, and still wants cube-based modellingnot Zenlytic
  • A retailer running driver-based sales and workforce plans that must reconcile to the financial budgetnot Zenlytic

Zenlytic

  • A data team of three fielding sixty ad hoc requests a week from operators who could answer them in chat insteadnot Jedox
  • An ecommerce company where merchandisers need cohort and margin questions answered without waiting for an analystnot Jedox
  • A Looker customer looking for an exit that can import existing LookML rather than remodel from scratchnot Jedox
  • A finance team that needs every AI-generated number to show its SQL before it goes in a board packnot Jedox

Where each one falls short

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

Jedox

  • Cube modelling is a specialist skill closer to IBM TM1 than to a modern SaaS planning tool, so most customers depend on a partner or a single internal expert whose departure leaves the model unmaintainable.
  • Almost every deployment carries a partner implementation fee that frequently matches or exceeds the first year of licence, and that cost never appears in the vendor comparison you are shown.
  • The Excel add-in is the strongest client, which means Mac-based and browser-only users get a materially thinner experience than the Windows majority.
  • Dashboards and visual analytics are weaker than dedicated BI tools, so organisations typically keep Power BI or Tableau alongside Jedox and pay for both.
  • Insight Partners took a majority stake in 2021, and the pressure toward a cloud subscription base has meant self-managed customers see new capability later than cloud ones.

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

Jedox

On request
  • Jedox$undefined/year
    • Named user subscription, tiered by user count
    • Cloud or self-managed deployment
    • Modules priced separately for consolidation and add-ons

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 Jedox if

  • You need in-memory olap cube.
  • You work on Web, Windows, Linux, Cloud.
  • You also want excel add-in.

Choose Zenlytic if

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

Questions people ask

Is Jedox or Zenlytic better?
Neither clearly leads. Jedox starts at On request and Zenlytic at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Jedox or Zenlytic?
Jedox starts at On request and Zenlytic at On request.
Does Jedox or Zenlytic run on more platforms?
Jedox runs on Web, Windows, Linux, Cloud. Zenlytic runs on Web.
What is Jedox best used for?
Jedox is most often used for a manufacturer whose budget process is hundreds of excel files emailed between plants and needs one governed cube without retraining plant controllers, a mid-market group doing statutory consolidation and management reporting on the same data instead of in two systems, a finance team that priced ibm planning analytics, found it unaffordable, and still wants cube-based modelling, a retailer running driver-based sales and workforce plans that must reconcile to the financial budget. Of those, a manufacturer whose budget process is hundreds of excel files emailed between plants and needs one governed cube without retraining plant controllers and a mid-market group doing statutory consolidation and management reporting on the same data instead of in two systems are not what Zenlytic is typically brought in for.
What can Jedox do that Zenlytic cannot?
Jedox covers In-memory OLAP cube, Excel add-in, Web spreadsheet, Integrator ETL. Zenlytic covers Zoe conversational agent, YAML semantic layer, LookML import, Row and column permissions.

Answered from the vendors’ own pages

Jedox: Does Jedox publish pricing?

No. It is quoted per named user with tiering by volume, and modules such as consolidation are priced separately.

Zenlytic: Does Zenlytic publish pricing?

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

Jedox: Is Jedox a BI tool or a planning tool?

A planning tool with reporting attached. Organisations almost always keep a separate BI tool for visual analysis.

Zenlytic: Can it read my Looker model?

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

Jedox: Can it run on premises?

Yes, on Windows or Linux, though the vendor pushes cloud and self-managed customers receive features later.

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.

Jedox: How does it compare to IBM Planning Analytics?

Similar cube architecture at a lower price point, with a friendlier web layer and a smaller partner ecosystem.

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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