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Business Intelligence · head to head

Fabi vs Jedox

Fabi logo

Fabi

Business Intelligence

AI notebooks combining SQL, Python and no-code for small data teams

From
Free
Rated
-
Jedox logo

Jedox

Business Intelligence

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

From
On request
Rated
-

The short version

  • Only Fabi has a free tier, so it costs nothing to try first.
  • Each has a real cost: Fabi fabi is an early-stage company with a small team, so the durability risk is real and there is no obvious migration path for Smartbooks if it stops trading.; 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.
  • They diverge on capability: Fabi covers Smartbooks, Jedox covers In-memory OLAP cube.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Fabi and Jedox actually diverge.

Attributes where Fabi and Jedox differ
AttributeFabiJedox
Starting priceFreeOn request
Pricing modelPer user per monthquote
Free tierYesNo
PlatformsWebWeb, Windows, Linux, Cloud

Identical on both: 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 Fabi

  • Smartbooks
  • Smart Reports
  • AI analysis
  • Scheduled runs
  • Database connectors
  • Viewer seats

Only in Jedox

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

What people use each for

The jobs each tool is most often brought in to do.

Fabi

  • A single analyst at a startup fielding ad hoc questions faster than dashboards can be built for themnot Jedox
  • An operations team that needs Python for a one-off analysis but has to hand the result to non-technical colleaguesnot Jedox
  • Replacing a set of scheduled Jupyter notebooks that nobody outside the data team can read or rerunnot Jedox
  • Exploratory work against a warehouse where building a semantic model first would cost more than the answer is worthnot Jedox

Jedox

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

Where each one falls short

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

Fabi

  • Fabi is an early-stage company with a small team, so the durability risk is real and there is no obvious migration path for Smartbooks if it stops trading.
  • There is no meaningful governance layer: no data catalogue, no certified metric definitions and limited lineage, so it does not scale to an organisation that needs a single agreed number.
  • The free and Builder tiers cap AI requests, and the daily cap on Starter is reached quickly during genuine exploratory work.
  • Connector counts are limited by tier, so the Builder plan at 39 dollars connects to exactly one data source, which is rarely enough in practice.
  • It overlaps heavily with what Snowflake, Databricks and Hex now ship natively, so a company already paying for one of those is buying a fourth notebook interface.

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.

Pricing, plan by plan

Fabi

Free
  • StarterFree
    • One builder seat
    • Ten dashboard viewers
    • Five Smartbooks
  • Builder$39/month
    • Twenty-five Smart Report viewers
    • Ten Smartbooks with workflows
    • One data connector
  • Team$199/month
    • Four builder seats, extra seats at 39 USD
    • Fifty viewers
    • Premium connector
  • Enterprise$undefined/year
    • Unlimited builder seats
    • Full connector access
    • Custom security review

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

Which should you pick?

Choose Fabi if

  • You need smartbooks.
  • You want to start without paying.
  • You also want smart reports.

Choose Jedox if

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

Questions people ask

Is Fabi or Jedox better?
Neither clearly leads. Fabi starts at Free and Jedox at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Fabi or Jedox?
Fabi has a free tier; the other does not. Paid plans start at Free for Fabi and On request for Jedox.
Does Fabi or Jedox run on more platforms?
Fabi runs on Web. Jedox runs on Web, Windows, Linux, Cloud.
Can I use Fabi for free?
Yes. Fabi has a free tier, so you can try it without paying. Jedox starts at On request.
What is Fabi best used for?
Fabi is most often used for a single analyst at a startup fielding ad hoc questions faster than dashboards can be built for them, an operations team that needs python for a one-off analysis but has to hand the result to non-technical colleagues, replacing a set of scheduled jupyter notebooks that nobody outside the data team can read or rerun, exploratory work against a warehouse where building a semantic model first would cost more than the answer is worth. Of those, a single analyst at a startup fielding ad hoc questions faster than dashboards can be built for them and an operations team that needs python for a one-off analysis but has to hand the result to non-technical colleagues are not what Jedox is typically brought in for.
What can Fabi do that Jedox cannot?
Fabi covers Smartbooks, Smart Reports, AI analysis, Scheduled runs. Jedox covers In-memory OLAP cube, Excel add-in, Web spreadsheet, Integrator ETL.

Answered from the vendors’ own pages

Fabi: Is there a free plan?

Yes, a Starter tier with one builder, ten viewers, five Smartbooks and ten AI requests a day.

Jedox: Does Jedox publish pricing?

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

Fabi: Do viewers cost money?

Viewers are bundled by tier rather than charged individually; builders are the priced seat.

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.

Fabi: Can I run arbitrary Python?

Yes, Smartbooks include Python cells alongside SQL and no-code steps.

Jedox: Can it run on premises?

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

Fabi: How many data connectors does the entry paid plan include?

One. Additional and premium connectors come with the Team tier.

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.

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