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Business Intelligence · head to head

Deepnote vs RapidMiner

Deepnote logo

Deepnote

Business Intelligence

Collaborative cloud workspace for data analytics and machine learning

From
Free
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

  • Each has a real cost: Deepnote free plan limited to 3 editors, restricting team usage; 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: Deepnote covers Collaborative notebooks, RapidMiner covers Visual process canvas.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Deepnote and RapidMiner actually diverge.

Attributes where Deepnote and RapidMiner differ
AttributeDeepnoteRapidMiner
Pricing modelSubscription with free tierfreemium
PlatformsWeb, APILinux, Mac, Windows, Web
CategoryBusiness IntelligenceMachine Learning
FoundedUnknown2007

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).

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 Deepnote

  • Collaborative notebooks
  • Interactive dashboards
  • Data agent building
  • Scheduled pipelines
  • Model management
  • 100+ integrations
  • GPU support
  • API deployment

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.

Deepnote

  • Data exploration and analysis workflowsnot RapidMiner
  • Building interactive business intelligence dashboardsnot RapidMiner
  • Collaborative machine learning model developmentnot RapidMiner
  • Automating ETL and data pipeline orchestrationnot RapidMiner
  • Creating shareable reports without exportsnot RapidMiner

RapidMiner

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

Where each one falls short

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

Deepnote

  • Free plan limited to 3 editors, restricting team usage
  • Limited revision history on free plan compared to competitors
  • Requires Team plan or higher for automated scheduling
  • GPU support incurs additional charges beyond base subscription
  • No mentioned offline capability

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

Deepnote

Free
  • FreeFree
    • Up to 3 editors
    • Up to 5 projects
    • Limited Deepnote AI
  • Team$39/month
    • Unlimited viewers and notebooks
    • Full Deepnote AI access
    • Premium integrations
  • Enterprise$null/custom
    • Everything in Team plan
    • Custom contracts
    • Priority support

RapidMiner

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

Which should you pick?

Choose Deepnote if

  • You need collaborative notebooks.
  • You want to start without paying.
  • You work on Web, API.
  • You also want interactive dashboards.
Deepnote 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 Deepnote or RapidMiner better?
Neither clearly leads. Deepnote starts at Free and RapidMiner at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Deepnote or RapidMiner?
Deepnote starts at Free and RapidMiner at Free.
Does Deepnote or RapidMiner run on more platforms?
Deepnote runs on Web, API. RapidMiner runs on Linux, Mac, Windows, Web.
Can I use Deepnote for free?
Both have a free tier, so you can try either at no cost before committing.
What is Deepnote best used for?
Deepnote is most often used for data exploration and analysis workflows, building interactive business intelligence dashboards, collaborative machine learning model development, automating etl and data pipeline orchestration. Of those, data exploration and analysis workflows and building interactive business intelligence dashboards are not what RapidMiner is typically brought in for.
What can Deepnote do that RapidMiner cannot?
Deepnote covers Collaborative notebooks, Interactive dashboards, Data agent building, Scheduled pipelines. RapidMiner covers Visual process canvas, Operator library, Automatic modelling, Python and R operators.

Answered from the vendors’ own pages

Deepnote: What is included in the free Deepnote plan?

The free plan includes up to 3 editors, up to 5 projects, limited Deepnote AI, basic machines with 5 GB RAM, and 7-day revision history.

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.

Deepnote: What data sources can Deepnote integrate with?

Deepnote integrates with 100+ data sources including major data warehouses like Snowflake, BigQuery, and Redshift, as well as BI platforms like Looker, Tableau, and Power BI.

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.

Deepnote: Does Deepnote support collaboration?

Yes, Deepnote provides real-time collaborative notebooks where multiple team members can work simultaneously. The Team plan allows unlimited viewers and notebooks.

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.

Deepnote: What compliance certifications does Deepnote have?

Deepnote is SOC 2, HIPAA, GDPR, and CCPA compliant and offers role-based access control, single sign-on, and directory synchronization.

Source
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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