Softwr

Machine Learning · head to head

RapidMiner vs Together AI

RapidMiner logo

RapidMiner

Machine Learning

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

From
Free
Free plan
Yes
Full reviewWebsite
Together AI logo

Together AI

AI

Open-source AI at scale

From
Free
Free plan
Yes
Full reviewWebsite

The short version

  • Each has a real cost: 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.; Together AI free tier limits not clearly specified in pricing documentation
  • They diverge on capability: RapidMiner covers Visual process canvas, Together AI covers Open-source models.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which RapidMiner and Together AI actually diverge.

Attributes where RapidMiner and Together AI differ
AttributeRapidMinerTogether AI
Pricing modelfreemiumusage-based
PlatformsLinux, Mac, Windows, WebApi, Cloud
CategoryMachine LearningAI
Founded20072022

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 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

Only in Together AI

  • Open-source models
  • Fine-tuning
  • Fast inference
  • Embeddings
  • REST API
  • Python SDK
  • OpenAI compatible
  • Api support

What people use each for

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

RapidMiner

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

Together AI

  • LLM inference for production AI applicationsnot RapidMiner
  • Content generation at scalenot RapidMiner
  • Code execution and embeddingsnot RapidMiner
  • Model fine-tuning and trainingnot RapidMiner
  • Startup and enterprise AI deploymentnot RapidMiner

Where each one falls short

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

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.

Together AI

  • Free tier limits not clearly specified in pricing documentation
  • Pricing varies significantly by model and use case
  • Requires account setup for production access
  • Batch API discounts apply only to non-urgent workloads

Pricing, plan by plan

RapidMiner

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

Together AI

Free
  • Serverless Inference$0.03/1M input tokens
    • Chat and Vision models
    • Image generation
    • Video generation
  • Provisioned Throughput$21600/month
    • Up to 83% savings vs commercial alternatives
    • Reserved capacity
    • Guaranteed throughput
  • Dedicated Inference$5.49/hour
    • H100 GPU instance
    • Single-tenant deployment
    • No resource sharing
  • GPU Clusters$3.99/GPU-hour
    • On-demand capacity
    • Volume discounts available
    • Reserved options with up to 35% savings

Which should you pick?

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

Choose Together AI if

  • You need open-source models.
  • You want to start without paying.
  • You work on Api, Cloud.
  • You also want fine-tuning.
Together AI review

Questions people ask

Is RapidMiner or Together AI better?
Neither clearly leads. RapidMiner starts at Free and Together AI at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, RapidMiner or Together AI?
RapidMiner starts at Free and Together AI at Free.
Does RapidMiner or Together AI run on more platforms?
RapidMiner runs on Linux, Mac, Windows, Web. Together AI runs on Api, Cloud.
Can I use RapidMiner for free?
Both have a free tier, so you can try either at no cost before committing.
What is RapidMiner best used for?
RapidMiner is most often used for modelling work in an engineering organisation where the analysis must be reviewable by people who do not code, teaching data science concepts, where seeing the validation split as a visible connection is more instructive than reading a function call, companies already holding altair licences, where adding this draws on units already purchased rather than a new procurement, business analysts building predictive workflows without a data science team to hand the problem to. Of those, modelling work in an engineering organisation where the analysis must be reviewable by people who do not code and teaching data science concepts, where seeing the validation split as a visible connection is more instructive than reading a function call are not what Together AI is typically brought in for.
What can RapidMiner do that Together AI cannot?
RapidMiner covers Visual process canvas, Operator library, Automatic modelling, Python and R operators. Together AI covers Open-source models, Fine-tuning, Fast inference, Embeddings.

Answered from the vendors’ own pages

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.

Together AI: Does Together AI offer a free tier?

Yes, Together AI advertises 'Start for free, scale on demand,' but specific free tier usage limits are not detailed on the pricing page.

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.

Together AI: What are Together AI's highest model prices?

Serverless inference pricing ranges from free for base models up to $4.40 per 1M input tokens for premium models. Video generation costs $0.14 to $3.20 per video depending on resolution.

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.

Together AI: How much can I save with Provisioned Throughput?

Together AI offers up to 83% savings compared to commercial alternatives when using their Provisioned Throughput option with reserved capacity.

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.

Together AI: What is Together AI's fine-tuning pricing?

Standard fine-tuning costs $0.48 to $2.90 per 1M tokens depending on model size, with a minimum charge of $4.00 per job.

Source
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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