AI · head to head
Arize AI vs Ray

Arize AI
AI
AI engineering platform for observability and evaluation of agents and LLM apps
- From
- Free
- Free plan
- Yes
The short version
- Each has a real cost: Arize AI the free plan caps trace spans at 25,000 per month with only 15 days of retention.; Ray windows support is beta and multi node Ray clusters are untested on Windows
- They diverge on capability: Arize AI covers End-to-end tracing, Ray covers Distributed computing.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Arize AI and Ray actually diverge.
Identical on both: starting price (Free), pricing model (freemium), 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 Arize AI
- End-to-end tracing
- Evaluation framework
- Prompt testing and improvement
- Alyx AI engineering agent
- Custom dashboards
- Data warehouse integrations
Only in Ray
- Distributed computing
- Ray Train
- Ray Tune
- RLlib
- Ray Serve
- PyTorch
- TensorFlow
- Hugging Face
What people use each for
The jobs each tool is most often brought in to do.
Arize AI
- Tracing and debugging production AI agentsnot Ray
- Running large-scale evaluations across traces and sessionsnot Ray
- Improving prompts before production rolloutnot Ray
- Storing and querying GenAI traces alongside a data warehousenot Ray
Ray
- Distributed AI model training and servingnot Arize AI
- Large-scale data processingnot Arize AI
- Reinforcement learning workloadsnot Arize AI
- ML inference servingnot Arize AI
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Arize AI
- The free plan caps trace spans at 25,000 per month with only 15 days of retention.
- Self-hosted deployment and Data Fabric integration are restricted to the custom-priced Enterprise tier.
- Pricing beyond the $50/month Pro plan requires a custom quote, making cost planning less transparent at scale.
- Advanced compliance features like HIPAA are only available on Enterprise.
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
Arize AI
Free- AX FreeFree
- 25k trace spans/month
- 1 GB storage/month
- 15-day retention
- AX Pro$50/month
- 50k trace spans/month
- 10 GB storage/month
- 30-day retention
- AX Enterprise$undefined/mo
- Custom trace spans, storage, and retention
- SaaS or self-hosted deployment
- Managed agents and Data Fabric
Ray
Free- Open SourceFree
- Full Ray framework
- All libraries
- Community support
- Anyscale PlatformFree
- Managed infrastructure
- Enterprise support
- SLAs
Which should you pick?
Choose Arize AI if
- You need end-to-end tracing.
- You want to start without paying.
- You work on web, api.
- You also want evaluation framework.
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 Arize AI or Ray better?
- Neither clearly leads. Arize AI starts at Free and Ray at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Arize AI or Ray?
- Arize AI starts at Free and Ray at Free.
- Does Arize AI or Ray run on more platforms?
- Arize AI runs on web, api. Ray runs on Linux, Mac, Windows.
- Can I use Arize AI for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Arize AI best used for?
- Arize AI is most often used for tracing and debugging production ai agents, running large-scale evaluations across traces and sessions, improving prompts before production rollout, storing and querying genai traces alongside a data warehouse. Of those, tracing and debugging production ai agents and running large-scale evaluations across traces and sessions are not what Ray is typically brought in for.
- What can Arize AI do that Ray cannot?
- Arize AI covers End-to-end tracing, Evaluation framework, Prompt testing and improvement, Alyx AI engineering agent. Ray covers Distributed computing, Ray Train, Ray Tune, RLlib.
Answered from the vendors’ own pages
Arize AI: What does Arize AX cost?
Arize AX offers a free plan, a Pro plan at $50/month, and a custom-priced Enterprise plan, with pricing based on trace spans, storage, and retention needs.
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.
SourceArize AI: Is there a free plan, and what are its limits?
The AX Free plan includes 25,000 trace spans and 1 GB of storage per month with 15-day retention, plus unlimited users, evaluations, and experiments.
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.
SourceArize AI: What deployment options are available?
Free and Pro plans are SaaS-only, while Enterprise customers can choose SaaS or self-hosted deployment with custom SLAs.
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
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- Ray vs Sourcegraph Cody
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- Ray vs Amazon Q Developer
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- Ray vs You.com
- Ray vs Anthropic API
- Ray vs Deepgram
- Ray vs AutoGen
- Ray vs Cartesia
- Ray vs Inflection AI
- Ray vs LatchBio
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- Ray vs Manus
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- Ray vs NotebookLM
- Ray vs Google Vertex AI
- Ray vs AWS SageMaker
- Ray vs Azure Machine Learning
- Ray vs DataRobot
- Ray vs Milvus
- Ray vs Pinecone
- Ray vs H2O.ai
- Ray vs Dask
- Ray vs Apache Spark MLlib
- Ray vs Weaviate
- Ray vs TensorFlow
- Ray vs LangChain
- Ray vs Dataiku
- Ray vs KNIME
- Ray vs Palantir Foundry
- Ray vs Python

