Machine Learning · head to head
Alteryx vs Ray
The short version
- Only Ray has a free tier, so it costs nothing to try first.
- Each has a real cost: Alteryx starter is $250 per user per month billed annually, and the Professional and Enterprise editions are quote-only; Ray windows support is beta and multi node Ray clusters are untested on Windows
- They diverge on capability: Alteryx covers Data preparation, Ray covers Distributed computing.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Alteryx and Ray actually diverge.
Identical on both: user rating (Not yet rated), category (Machine Learning).
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 Alteryx
- Data preparation
- Data blending
- Predictive analytics
- Spatial analytics
- Reporting
- Python
- R
- Snowflake
Only in Ray
- Distributed computing
- Ray Train
- Ray Tune
- RLlib
- Ray Serve
- PyTorch
- TensorFlow
- Hugging Face
Both cover
- Windows support
What people use each for
The jobs each tool is most often brought in to do.
Alteryx
- Data preparation and building AI-ready datasetsnot Ray
- Predictive analytics without writing codenot Ray
- Automating and orchestrating repeatable analytics workflowsnot Ray
- Enterprise reporting with governed, reusable logicnot Ray
- Connecting to Snowflake, Databricks and cloud warehouses alongside on-premises systemsnot Ray
Ray
- Distributed AI model training and servingnot Alteryx
- Large-scale data processingnot Alteryx
- Reinforcement learning workloadsnot Alteryx
- ML inference servingnot Alteryx
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Alteryx
- Starter is $250 per user per month billed annually, and the Professional and Enterprise editions are quote-only
- Automation runs are metered, with 50 included on Starter and 15,000 on Professional, and more must be bought
- Cost depends on three separate dimensions at once: edition, user role and automation capacity
- Advanced analytics, governance and orchestration are withheld from the entry edition
Ray
- Windows support is beta and multi node Ray clusters are untested on Windows
- Windows lacks copy on write forking, which raises memory requirements, and Ray code assumes UNIX filenames
- Multi node clusters are untested on Apple Silicon Macs
- The Java API is experimental and community supported only, and requires matching Java and Python versions
- Python 3.13 support is beta
Pricing, plan by plan
Alteryx
$250/month- Starter Edition$250/month
- 1-10 users
- 50 automation runs included
- Cloud only
- Professional Edition$null/month
- Basic and Full users
- 15,000 automation runs included
- Cloud and desktop deployment
- Enterprise Edition$null/month
- All user types
- 15,000 automation runs included
- All deployment options
Ray
Free- Open SourceFree
- Full Ray framework
- All libraries
- Community support
- Anyscale PlatformFree
- Managed infrastructure
- Enterprise support
- SLAs
Which should you pick?
Choose Alteryx if
- You need data preparation.
- You work on Windows, Web.
- You also want data blending.
Choose Ray if
- You need distributed computing.
- You want to start without paying.
- You work on Linux, Mac, Windows.
- You also want ray train.
Questions people ask
- Is Alteryx or Ray better?
- Neither clearly leads. Alteryx starts at $250/month and Ray at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Alteryx or Ray?
- Ray has a free tier; the other does not. Paid plans start at $250/month for Alteryx and Free for Ray.
- Does Alteryx or Ray run on more platforms?
- Alteryx runs on Windows, Web. Ray runs on Linux, Mac, Windows.
- Can I use Ray for free?
- Yes. Ray has a free tier, so you can try it without paying. Alteryx starts at $250/month.
- What is Alteryx best used for?
- Alteryx is most often used for data preparation and building ai-ready datasets, predictive analytics without writing code, automating and orchestrating repeatable analytics workflows, enterprise reporting with governed, reusable logic. Of those, data preparation and building ai-ready datasets and predictive analytics without writing code are not what Ray is typically brought in for.
- What can Alteryx do that Ray cannot?
- Alteryx covers Data preparation, Data blending, Predictive analytics, Spatial analytics. Ray covers Distributed computing, Ray Train, Ray Tune, RLlib. Both handle Windows support.
Answered from the vendors’ own pages
Alteryx: How much does Alteryx Starter cost?
Alteryx Starter Edition costs $250 USD per user per month when billed annually, for teams of 1-10 users.
SourceRay: Is Ray free?
Yes. Ray is free and open source software with over 34,800 GitHub stars and 1,000+ contributors. Users can download and use the Ray framework at no cost.
SourceAlteryx: Is there a free trial for Alteryx?
Yes, Alteryx offers a 30-day free trial to evaluate the platform before committing to a paid plan.
SourceRay: Is there a paid option for Ray?
Yes. Anyscale, the managed platform built by Ray's creators, offers paid tiers with enterprise features like governance and advanced tooling. Specific Anyscale pricing details are not listed on the Ray website.
SourceAlteryx: What differentiates Alteryx Professional from Starter?
Professional Edition supports both Basic and Full user roles, includes 15,000 automation runs, offers cloud and desktop deployment, connects to 100+ data sources, and enables advanced data preparation and macros. Professional and Enterprise editions require contacting sales for pricing.
SourceRay: Can I try Ray with credits?
Yes. New users can try Ray with $100 credit on Anyscale's managed platform to explore the service.
SourceRelated pages
Other head to heads
- Alteryx vs Palantir Foundry
- Alteryx vs Azure Machine Learning
- Alteryx vs DataRobot
- Alteryx vs Google Vertex AI
- Alteryx vs AWS SageMaker
- Alteryx vs IBM SPSS
- Alteryx vs RapidMiner
- Alteryx vs SAS
- Alteryx vs Snowflake
- Alteryx vs KNIME
- Alteryx vs Databricks
- Alteryx vs Dataiku
- Alteryx vs LangChain
- Alteryx vs Pinecone
- Alteryx vs Python
- Alteryx vs PyTorch
- Alteryx vs scikit-learn
- Alteryx vs Milvus
- Alteryx vs H2O.ai
- Alteryx vs Dask
- Alteryx vs Apache Spark MLlib
- Alteryx vs Weaviate
- Alteryx vs TensorFlow
- Ray vs Palantir Foundry
- Ray vs Azure Machine Learning
- Ray vs DataRobot
- Ray vs Google Vertex AI
- Ray vs AWS SageMaker
- Ray vs IBM SPSS
- Ray vs RapidMiner
- Ray vs SAS
- Ray vs Snowflake
- Ray vs KNIME
- Ray vs Databricks
- Ray vs Dataiku
- Ray vs LangChain
- Ray vs Pinecone
- Ray vs Python
- Ray vs PyTorch
- Ray vs scikit-learn
- Ray vs Milvus
- Ray vs H2O.ai
- Ray vs Dask
- Ray vs Apache Spark MLlib
- Ray vs Weaviate
- Ray vs TensorFlow


