Spreadsheets · head to head
APITable vs Seldon

APITable
Spreadsheets
Open source spreadsheet database with an API first design and an embeddable widget system
- From
- Free
- Rated
- -

Seldon
Machine Learning
Kubernetes model serving whose current version is licensed under the Business Source Licence
- 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.; Seldon seldon Core v2 is under the Business Source Licence rather than Apache 2.0, so production use requires a commercial agreement, and a team that evaluated it believing it was open source discovers the licence is the blocker exactly when the project is ready to ship.
- They diverge on capability: APITable covers API first design, Seldon covers Kubernetes custom resources.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which APITable and Seldon 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 Seldon
- Kubernetes custom resources
- Inference graphs
- Traffic strategies
- Open Inference Protocol
- Alibi Explain
- Alibi Detect
- Kafka-backed pipelines in v2
- Commercial control plane
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 Seldon
- An internal platform where tables are read and written mostly by code through the API and only occasionally by peoplenot Seldon
- A self hosted replacement for a per seat spreadsheet database where seat count is the cost drivernot Seldon
- Building a custom dashboard widget that sits beside the data instead of in a separate reporting toolnot Seldon
Seldon
- Serving an ensemble or a multi-stage inference path as one versioned deployment rather than as a chain of separate servicesnot APITable
- Running genuine production experiments where a share of live traffic goes to a candidate model and the results are comparednot APITable
- Regulated environments needing explanations and drift monitoring attached to the served model rather than bolted on laternot APITable
- Organisations with an established Kubernetes platform team who want serving expressed as manifests under existing deployment controlsnot 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.
Seldon
- Seldon Core v2 is under the Business Source Licence rather than Apache 2.0, so production use requires a commercial agreement, and a team that evaluated it believing it was open source discovers the licence is the blocker exactly when the project is ready to ship.
- Core v1 remains Apache 2.0 but is in maintenance, so taking the free route means running software that receives no new development while the architecture it belongs to moves on without it.
- Version 2 is a different system rather than a newer release, with different custom resources, a scheduler component and a Kafka-based pipeline model, so migrating from v1 is a re-implementation of every deployment manifest rather than an upgrade.
- Kafka is a dependency for v2 pipelines, so an organisation that does not already operate it takes on a distributed log with its own storage, retention, rebalancing and failure modes purely in order to serve models.
- Everything assumes Kubernetes fluency and the failure modes are Kubernetes failure modes, custom resource version mismatches, an operator that will not reconcile, admission webhooks and resource limits terminating an inference pod mid-request, so it needs a platform engineer rather than a data scientist.
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
Seldon
Free- Seldon CoreFree
- Open source
- Kubernetes deployment
- Model serving
- Seldon DeployFree
- Enterprise features
- GUI
- Monitoring
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 Seldon if
- You need kubernetes custom resources.
- You want to start without paying.
- You work on Linux.
- You also want inference graphs.
Questions people ask
- Is APITable or Seldon better?
- Neither clearly leads. APITable starts at Free and Seldon at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, APITable or Seldon?
- APITable starts at Free and Seldon at Free.
- Does APITable or Seldon run on more platforms?
- APITable runs on Web, Linux. Seldon runs on Linux.
- 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 Seldon is typically brought in for.
- What can APITable do that Seldon cannot?
- APITable covers API first design, Widget SDK, Embeddable views, Multiple view types. Seldon covers Kubernetes custom resources, Inference graphs, Traffic strategies, Open Inference Protocol.
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.
Seldon: Is Seldon open source?
Partly, and this is the thing to check before you build on it. Core v1 is Apache 2.0 but in maintenance. Core v2 was moved to the Business Source Licence in 2024, which allows evaluation but not unlicensed production use. Verify the current licence of each component you intend to run, including MLServer and the Alibi libraries.
APITable: 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.
Seldon: What is the difference between v1 and v2?
Architecture, not just version number. v2 introduces a scheduler, a different set of custom resources and Kafka-backed pipelines. Manifests, mental model and operations all change, so treat a move as a project.
APITable: Is the hosted version representative?
No. Its free tier caps records per space, which is a commercial limit rather than a technical one.
Seldon: Do I need Kubernetes?
Yes. It is a Kubernetes-native system and there is no meaningful deployment without a cluster and someone competent to run it.
APITable: How hard is self hosting?
Harder than a single container. Plan for several services and someone to keep them running.
Seldon: What is MLServer?
Seldon's Python inference server implementing the Open Inference Protocol, usable inside Seldon deployments or on its own. Check its current licence alongside Core's, since the company has moved projects onto the Business Source Licence.
APITable: Does it do automations?
Lightly. Expect to pair it with an external automation tool for anything multi step.
Seldon: Do I have to run Kafka?
For v2 pipelines, yes. If you only need single models served, that dependency is a large amount of infrastructure for the benefit, and a simpler serving layer may be the better answer.
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