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Business Intelligence · head to head

Jedox vs Sisense

Jedox logo

Jedox

Business Intelligence

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

From
On request
Rated
-
Full reviewWebsite
Sisense logo

Sisense

Business Intelligence

Infuse analytics everywhere

From
$10000/year
Rated
-
Full reviewWebsite

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.; Sisense pricing lacks transparency with opaque scaling costs and hidden fees for onboarding and training
  • They diverge on capability: Jedox covers In-memory OLAP cube, Sisense covers Embedded Analytics.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Jedox and Sisense actually diverge.

Attributes where Jedox and Sisense differ
AttributeJedoxSisense
Starting priceOn request$10000/year
Pricing modelquoteUnknown
PlatformsWeb, Windows, Linux, CloudWeb, Cloud, On-premises
FoundedUnknown2004

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 Jedox

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

Only in Sisense

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

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 Sisense
  • A mid-market group doing statutory consolidation and management reporting on the same data instead of in two systemsnot Sisense
  • A finance team that priced IBM Planning Analytics, found it unaffordable, and still wants cube-based modellingnot Sisense
  • A retailer running driver-based sales and workforce plans that must reconcile to the financial budgetnot Sisense

Sisense

  • Self-service analyticsnot Jedox
  • Data explorationnot Jedox
  • Ad-hoc reportingnot Jedox
  • Collaborative analysisnot Jedox
  • Embedded analyticsnot 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.

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

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

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

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.
Jedox review

Choose Sisense if

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

Questions people ask

Is Jedox or Sisense better?
Neither clearly leads. Jedox starts at On request and Sisense at $10000/year, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Jedox or Sisense?
Jedox starts at On request and Sisense at $10000/year.
Does Jedox or Sisense run on more platforms?
Jedox runs on Web, Windows, Linux, Cloud. Sisense runs on Web, Cloud, On-premises.
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 Sisense is typically brought in for.
What can Jedox do that Sisense cannot?
Jedox covers In-memory OLAP cube, Excel add-in, Web spreadsheet, Integrator ETL. Sisense covers Embedded Analytics, AI/ML Integration, In-chip Technology, White-labeling.

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.

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
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.

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
Jedox: Can it run on premises?

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

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
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.

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
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