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Business Intelligence · head to head

GoodData vs RapidMiner

GoodData logo

GoodData

Business Intelligence

Analytics platform for data products

From
On request
Rated
-
Full reviewWebsite
RapidMiner logo

RapidMiner

Machine Learning

Visual workflow data science platform, now sold by Altair as AI Studio

From
Free
Rated
-
Full reviewWebsite

The short version

  • Only RapidMiner has a free tier, so it costs nothing to try first.
  • Each has a real cost: GoodData pricing scales per workspace as customer base grows, increasing costs with scale; RapidMiner processes are stored as the product's own XML, so they cannot be meaningfully diffed, reviewed in a pull request or executed anywhere else, and a team's accumulated work is not portable in any practical sense.
  • They diverge on capability: GoodData covers Headless BI, RapidMiner covers Visual process canvas.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which GoodData and RapidMiner actually diverge.

Attributes where GoodData and RapidMiner differ
AttributeGoodDataRapidMiner
Starting priceOn requestFree
Pricing modelUnknownfreemium
Free tierNoYes
PlatformsWeb, Cloud AWS, Cloud AzureLinux, Mac, Windows, Web
CategoryBusiness IntelligenceMachine Learning

Identical on both: user rating (Not yet rated), founded (2007).

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 GoodData

  • Headless BI
  • Semantic Layer
  • Embedded Analytics
  • Multi-tenancy
  • White-labeling
  • Snowflake
  • BigQuery
  • Redshift

Only in RapidMiner

  • Visual process canvas
  • Operator library
  • Automatic modelling
  • Python and R operators
  • Validation operators
  • Text and time series extensions
  • AI Hub server
  • Altair portfolio integration

What people use each for

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

GoodData

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

RapidMiner

  • Modelling work in an engineering organisation where the analysis must be reviewable by people who do not codenot GoodData
  • Teaching data science concepts, where seeing the validation split as a visible connection is more instructive than reading a function callnot GoodData
  • Companies already holding Altair licences, where adding this draws on units already purchased rather than a new procurementnot GoodData
  • Business analysts building predictive workflows without a data science team to hand the problem tonot GoodData

Where each one falls short

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

GoodData

  • Pricing scales per workspace as customer base grows, increasing costs with scale
  • Advanced security features like audit logging and HIPAA compliance only on Enterprise plan

RapidMiner

  • Processes are stored as the product's own XML, so they cannot be meaningfully diffed, reviewed in a pull request or executed anywhere else, and a team's accumulated work is not portable in any practical sense.
  • The operator library is the ceiling, and anything beyond it means dropping into an embedded Python or R operator, at which point the code sits inside a visual container that provides none of the version control, testing or debugging a normal repository would.
  • Two changes of ownership in three years, Altair in 2022 and Siemens thereafter, have already moved the product's name, packaging and licensing, so a buyer is committing to a roadmap decided inside a much larger engineering software business.
  • Licensing draws on Altair's shared units pool, so running heavy modelling work consumes capacity that other teams in the organisation were relying on for different products, which makes cost attribution and capacity planning awkward.
  • Scheduling and deployment require AI Hub as a separate server product to install, license and operate, so a model built on the desktop is not in production until another purchase and another installation have been completed.

Pricing, plan by plan

GoodData

On request
  • Professional$undefined/mo
    • Core BI and analytics
    • Full embedding with whitelabeling
    • Multi-tenancy support
  • Enterprise$undefined/mo
    • All Professional features
    • Custom agents and Agent Builder
    • 99.5% guaranteed uptime SLA

RapidMiner

Free
  • FreeFree
    • 10,000 data rows
    • 1 logical processor
  • ProfessionalFree
    • Unlimited data
    • Full features
    • Support

Which should you pick?

Choose GoodData if

  • You need headless bi.
  • You work on Web, Cloud AWS, Cloud Azure.
  • You also want semantic layer.
GoodData review

Choose RapidMiner if

  • You need visual process canvas.
  • You want to start without paying.
  • You work on Linux, Mac, Windows, Web.
  • You also want operator library.
RapidMiner review

Questions people ask

Is GoodData or RapidMiner better?
Neither clearly leads. GoodData starts at On request and RapidMiner at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, GoodData or RapidMiner?
RapidMiner has a free tier; the other does not. Paid plans start at On request for GoodData and Free for RapidMiner.
Does GoodData or RapidMiner run on more platforms?
GoodData runs on Web, Cloud AWS, Cloud Azure. RapidMiner runs on Linux, Mac, Windows, Web.
Can I use RapidMiner for free?
Yes. RapidMiner has a free tier, so you can try it without paying. GoodData starts at On request.
What is GoodData best used for?
GoodData 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 RapidMiner is typically brought in for.
What can GoodData do that RapidMiner cannot?
GoodData covers Headless BI, Semantic Layer, Embedded Analytics, Multi-tenancy. RapidMiner covers Visual process canvas, Operator library, Automatic modelling, Python and R operators.

Answered from the vendors’ own pages

GoodData: Does GoodData offer a free tier?

No, GoodData does not offer a free tier. The platform has Professional and Enterprise pricing tiers that require sales contact for quotes.

Source
RapidMiner: Is it still called RapidMiner?

The desktop product is now Altair AI Studio and the server is Altair AI Hub. The RapidMiner name persists in documentation, community material and most search results, which makes finding current information harder than it should be.

GoodData: What data warehouses can GoodData connect to?

GoodData supports direct connections to Snowflake, BigQuery, Redshift, Azure Databricks, and PostgreSQL through a direct-query-only integration model.

Source
RapidMiner: Is there a free version?

Altair has offered free and academic editions with usage limits, but the terms have moved with each ownership change, so check what is currently on offer rather than relying on what the free tier allowed a few years ago.

GoodData: Can you self-host GoodData?

Self-hosted deployment is only available on the Enterprise plan. Professional plan customers are limited to the managed SaaS offering.

Source
RapidMiner: Do I need to write code?

No, which is the point of it. You will write some once you hit the edge of the operator library, and at that stage the tool works against you rather than for you.

RapidMiner: Can I put a model into production?

Through AI Hub, which is a separate licensed server. The desktop tool builds and validates; it does not schedule or serve.

RapidMiner: How does licensing work?

Through Altair's units model, where a pool of purchased units is drawn on by whichever Altair products your organisation runs, rather than a per-seat licence specific to this product.

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