Spreadsheets · head to head
Metabase vs Ray
The short version
- Each has a real cost: Metabase aI Service charges $3.75 per 1 million tokens (after 1M free tokens included); Ray windows support is beta and multi node Ray clusters are untested on Windows
- They diverge on capability: Metabase covers No-code Query Builder, Ray covers Distributed computing.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Metabase 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 Metabase
- No-code Query Builder
- SQL Editor
- Interactive Dashboards
- Alerts
- Embedding
- PostgreSQL
- MySQL
- MongoDB
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.
Metabase
- Business intelligence and data exploration for non-technical usersnot Ray
- Embedded analytics for SaaS applicationsnot Ray
- Self-service reporting and dashboard creationnot Ray
- Integration with 40+ data sources including cloud warehousesnot Ray
Ray
- Distributed AI model training and servingnot Metabase
- Large-scale data processingnot Metabase
- Reinforcement learning workloadsnot Metabase
- ML inference servingnot Metabase
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Metabase
- AI Service charges $3.75 per 1 million tokens (after 1M free tokens included)
- Transforms cost $0.01 per run after 1,000 included runs per month
- Advanced Transforms cost $0.02 per run after included allocation
- Storage overages start at $2 per 1M rows (1M rows free)
- All yearly plans offer 10% discount versus monthly, incentivizing annual commitment
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
Metabase
Free- Open SourceFree
- Unlimited users
- Unlimited questions and dashboards
- AI-powered query generation
- Starter$90/month
- Email and chat support
- $100/month standard monthly billing
- 20+ data connectors
- Pro$517.5/month
- $575/month standard monthly
- Row/column-level permissions
- SSO
- Enterprise$20000/year
- Dedicated success engineer
- 1-day support response SLA
- Air-gapped deployment
Ray
Free- Open SourceFree
- Full Ray framework
- All libraries
- Community support
- Anyscale PlatformFree
- Managed infrastructure
- Enterprise support
- SLAs
Which should you pick?
Choose Metabase if
- You need no-code query builder.
- You want to start without paying.
- You work on Web, Self-hosted cloud.
- You also want sql editor.
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 Metabase or Ray better?
- Neither clearly leads. Metabase 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, Metabase or Ray?
- Metabase starts at Free and Ray at Free.
- Does Metabase or Ray run on more platforms?
- Metabase runs on Web, Self-hosted cloud. Ray runs on Linux, Mac, Windows.
- Can I use Metabase for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Metabase best used for?
- Metabase is most often used for business intelligence and data exploration for non-technical users, embedded analytics for saas applications, self-service reporting and dashboard creation, integration with 40+ data sources including cloud warehouses. Of those, business intelligence and data exploration for non-technical users and embedded analytics for saas applications are not what Ray is typically brought in for.
- What can Metabase do that Ray cannot?
- Metabase covers No-code Query Builder, SQL Editor, Interactive Dashboards, Alerts. Ray covers Distributed computing, Ray Train, Ray Tune, RLlib.
Answered from the vendors’ own pages
Metabase: How much does Metabase cost?
Metabase Open Source is free for self-hosted deployments with unlimited users and dashboards. Cloud-hosted Starter tier costs $90/month annually ($100/month monthly) with Pro at $517.50/month annually ($575/month monthly). Enterprise plans start at $20,000 per year.
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.
SourceMetabase: Does Metabase charge for additional users?
Yes, Metabase charges per-user fees beyond included users. Starter includes 5 users at $6 per additional user per month. Pro includes 10 users at $12 per additional user per month. Enterprise pricing is custom.
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.
SourceMetabase: What usage-based fees does Metabase charge?
Metabase charges $3.75 per 1 million tokens for AI services (after 1M free tokens), $0.01 per transform run after 1,000 included per month, $0.02 for advanced transforms, and storage overages at $2 per 1M rows beyond the included 1M rows.
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 Equals
- Ray vs Fibery
- Ray vs Baserow
- Ray vs NocoDB
- Ray vs Budibase
- Ray vs Quadratic
- Ray vs Google Sheets
- Ray vs SeaTable
- Ray vs Teable
- Ray vs APITable
- Ray vs Coefficient
- Ray vs Cube Software
- Ray vs Google Vertex AI
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- Ray vs Azure Machine Learning
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- 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
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- Ray vs Palantir Foundry
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