Spreadsheets · head to head
APITable vs Ray
APITable
Spreadsheets
Open source spreadsheet database with an API first design and an embeddable widget system
- From
- Free
- Rated
- -
The short version
- Each has a real cost: APITable records are held in the product own schema rather than as native database tables, so the practical row ceiling is a product limit and large tables should be load tested before commitment.; Ray windows support is beta and multi node Ray clusters are untested on Windows
- They diverge on capability: APITable covers API first design, Ray covers Distributed computing.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which APITable and Ray actually diverge.
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 APITable
- API first design
- Widget SDK
- Embeddable views
- Multiple view types
- Linked records and formulas
- Self hosting
- Real time collaboration
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.
APITable
- Embedding an editable table view inside a product you are building, rather than sending users to another toolnot Ray
- An internal platform where tables are read and written mostly by code through the API and only occasionally by peoplenot Ray
- A self hosted replacement for a per seat spreadsheet database where seat count is the cost drivernot Ray
- Building a custom dashboard widget that sits beside the data instead of in a separate reporting toolnot Ray
Ray
- Distributed AI model training and servingnot APITable
- Large-scale data processingnot APITable
- Reinforcement learning workloadsnot APITable
- ML inference servingnot APITable
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
APITable
- Records are held in the product own schema rather than as native database tables, so the practical row ceiling is a product limit and large tables should be load tested before commitment.
- The hosted free tier caps records per space, so evaluating on the cloud version gives a misleading picture of what the software can do when self hosted.
- Automation is thin compared with the commercial alternatives, and most real workflows end up in an external automation tool.
- The self hosted deployment is heavier than a single container, so running it properly means managing several services rather than one.
- Documentation and community activity are uneven in English, and finding an answer to an operational problem can take longer than the problem itself deserves.
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
APITable
Free- Self hosted open sourceFree
- No licence fee
- No product record cap on self hosted deployments
- Docker and Kubernetes deployment
Ray
Free- Open SourceFree
- Full Ray framework
- All libraries
- Community support
- Anyscale PlatformFree
- Managed infrastructure
- Enterprise support
- SLAs
Which should you pick?
Choose APITable if
- You need api first design.
- You want to start without paying.
- You work on Web, Linux.
- You also want widget sdk.
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 APITable or Ray better?
- Neither clearly leads. APITable 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, APITable or Ray?
- APITable starts at Free and Ray at Free.
- Does APITable or Ray run on more platforms?
- APITable runs on Web, Linux. Ray runs on Linux, Mac, Windows.
- Can I use APITable for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is APITable best used for?
- APITable is most often used for embedding an editable table view inside a product you are building, rather than sending users to another tool, an internal platform where tables are read and written mostly by code through the api and only occasionally by people, a self hosted replacement for a per seat spreadsheet database where seat count is the cost driver, building a custom dashboard widget that sits beside the data instead of in a separate reporting tool. Of those, embedding an editable table view inside a product you are building, rather than sending users to another tool and an internal platform where tables are read and written mostly by code through the api and only occasionally by people are not what Ray is typically brought in for.
- What can APITable do that Ray cannot?
- APITable covers API first design, Widget SDK, Embeddable views, Multiple view types. Ray covers Distributed computing, Ray Train, Ray Tune, RLlib.
Answered from the vendors’ own pages
APITable: What is the record limit?
The self hosted edition has no product cap, but performance is bounded by the internal schema rather than by your database. Test at your expected size.
Ray: 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.
SourceAPITable: Can I embed it in my own product?
Yes, and that is the main reason to choose it. Views embed and the widget SDK extends them.
Ray: 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.
SourceAPITable: Is the hosted version representative?
No. Its free tier caps records per space, which is a commercial limit rather than a technical one.
Ray: Can I try Ray with credits?
Yes. New users can try Ray with $100 credit on Anyscale's managed platform to explore the service.
SourceAPITable: How hard is self hosting?
Harder than a single container. Plan for several services and someone to keep them running.
APITable: Does it do automations?
Lightly. Expect to pair it with an external automation tool for anything multi step.
Related pages
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- Ray vs Cube Software
- Ray vs Sigma Computing
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- Ray vs Tableau
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- Ray vs Coefficient
- Ray vs Google Vertex AI
- Ray vs AWS SageMaker
- Ray vs Azure Machine Learning
- Ray vs DataRobot
- Ray vs Milvus
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- 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