Spreadsheets · head to head
Mathesar vs Ray
Mathesar
Spreadsheets
Spreadsheet style interface that edits an existing PostgreSQL database directly, with no schema of its own
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Mathesar there is no hosted offering of any kind, so a team without someone who can run and secure a server cannot use it at all.; Ray windows support is beta and multi node Ray clusters are untested on Windows
- They diverge on capability: Mathesar covers Direct PostgreSQL editing, Ray covers Distributed computing.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which Mathesar 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 Mathesar
- Direct PostgreSQL editing
- PostgreSQL permissions
- Schema editing
- Data exploration
- Relationship navigation
- Import of tabular files
- Self hosted only
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.
Mathesar
- A nonprofit or research group whose data is already in PostgreSQL and whose staff cannot write SQLnot Ray
- Giving analysts a safe editing interface governed by database roles that already existnot Ray
- Replacing a hand built Django or Rails admin screen that nobody wants to maintainnot Ray
- Editing production reference data where an export, edit and reimport cycle would risk losing concurrent changesnot Ray
Ray
- Distributed AI model training and servingnot Mathesar
- Large-scale data processingnot Mathesar
- Reinforcement learning workloadsnot Mathesar
- ML inference servingnot Mathesar
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Mathesar
- There is no hosted offering of any kind, so a team without someone who can run and secure a server cannot use it at all.
- It works only with PostgreSQL, so a MySQL, SQL Server or SQLite estate is excluded outright.
- There are no automations, no webhooks and effectively no integration catalogue, so it edits data and does nothing else.
- Because it writes to the live database, a careless bulk edit or column type change is a production change with no staging step and no undo.
- Development is grant and community funded rather than commercially funded, so roadmap pace and long term continuity carry a different risk profile from a venture backed vendor.
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
Mathesar
Free- Self hosted open sourceFree
- No licence fee
- No hosted option offered
- Connects to your existing PostgreSQL database
Ray
Free- Open SourceFree
- Full Ray framework
- All libraries
- Community support
- Anyscale PlatformFree
- Managed infrastructure
- Enterprise support
- SLAs
Which should you pick?
Choose Mathesar if
- You need direct postgresql editing.
- You want to start without paying.
- You work on Web, Linux.
- You also want postgresql permissions.
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 Mathesar or Ray better?
- Neither clearly leads. Mathesar 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, Mathesar or Ray?
- Mathesar starts at Free and Ray at Free.
- Does Mathesar or Ray run on more platforms?
- Mathesar runs on Web, Linux. Ray runs on Linux, Mac, Windows.
- Can I use Mathesar for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Mathesar best used for?
- Mathesar is most often used for a nonprofit or research group whose data is already in postgresql and whose staff cannot write sql, giving analysts a safe editing interface governed by database roles that already exist, replacing a hand built django or rails admin screen that nobody wants to maintain, editing production reference data where an export, edit and reimport cycle would risk losing concurrent changes. Of those, a nonprofit or research group whose data is already in postgresql and whose staff cannot write sql and giving analysts a safe editing interface governed by database roles that already exist are not what Ray is typically brought in for.
- What can Mathesar do that Ray cannot?
- Mathesar covers Direct PostgreSQL editing, PostgreSQL permissions, Schema editing, Data exploration. Ray covers Distributed computing, Ray Train, Ray Tune, RLlib.
Answered from the vendors’ own pages
Mathesar: Is there a cloud version?
No. Self hosting is the only option, and that is a deliberate project decision rather than a gap waiting to be filled.
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.
SourceMathesar: How does it handle permissions?
Through PostgreSQL roles and privileges directly, so there is no second permission model to keep in step.
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.
SourceMathesar: What is the row limit?
Whatever PostgreSQL can handle. Mathesar adds no storage layer of its own.
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.
SourceMathesar: Does it support databases other than PostgreSQL?
No.
Mathesar: Can it replace Airtable?
Only for editing and exploring data. There are no automations, apps or integrations.
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- Ray vs Google Sheets
- Ray vs Zoho Sheet
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- Ray vs Redash
- Ray vs Fibery
- Ray vs Budibase
- Ray vs Equals
- Ray vs Coefficient
- 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