Technology · head to head
Netlify vs Seldon

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: Netlify the free tier is an individual account with 300 credits; team members require the Pro plan at $20 a month; 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: Netlify covers Continuous deployment, Seldon covers Kubernetes custom resources.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Netlify and Seldon actually diverge.
Identical on both: starting price (Free), pricing model (freemium), free tier (Yes), user rating (Not yet rated), founded (2014).
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 Netlify
- Continuous deployment
- Instant rollbacks
- Deploy previews
- Split testing
- Forms handling
- Identity/Auth
- Serverless functions
- Edge handlers
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.
Netlify
- Hosting static sites and frontend frameworks with global CDN deliverynot Seldon
- Deploy previews on every pull requestnot Seldon
- Serverless functions alongside a static sitenot Seldon
- Netlify Database and Blob storage for small application statenot Seldon
Seldon
- Serving an ensemble or a multi-stage inference path as one versioned deployment rather than as a chain of separate servicesnot Netlify
- Running genuine production experiments where a share of live traffic goes to a candidate model and the results are comparednot Netlify
- Regulated environments needing explanations and drift monitoring attached to the served model rather than bolted on laternot Netlify
- Organisations with an established Kubernetes platform team who want serving expressed as manifests under existing deployment controlsnot Netlify
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Netlify
- The free tier is an individual account with 300 credits; team members require the Pro plan at $20 a month
- Everything is metered in credits, so bandwidth at 20 credits per GB and production deploys at 15 credits each consume the allowance in ways a bandwidth figure alone would not show
- Compute is billed at 10 credits per GB-hour, so server-rendered work costs more than static hosting
- Running past the allowance means buying credit packs, at $5 for 500 on Personal and $10 for 1,500 on Pro
- AI inference is priced by model rather than at a flat credit rate
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
Netlify
Free- Free PlanFree
- 300 credit limit
- Deploy previews, custom domains with SSL, functions, database storage
- Global CDN access
- Personal Plan$9/month
- 1000 credits
- Smart secret detection
- Extended observability 1-day
- Pro Plan$20/month
- 3000 credits
- Private repositories, shared environment variables
- Concurrent builds 3 plus
- Enterprise Plan$null/mo
- Unlimited credits
- 99.99 percent SLA guarantee
- Enterprise networking, SSO/SCIM integration
Seldon
Free- Seldon CoreFree
- Open source
- Kubernetes deployment
- Model serving
- Seldon DeployFree
- Enterprise features
- GUI
- Monitoring
Which should you pick?
Choose Netlify if
- You need continuous deployment.
- You want to start without paying.
- You also want instant rollbacks.
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 Netlify or Seldon better?
- Neither clearly leads. Netlify 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, Netlify or Seldon?
- Netlify starts at Free and Seldon at Free.
- Does Netlify or Seldon run on more platforms?
- Netlify runs on Web. Seldon runs on Linux.
- Can I use Netlify for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Netlify best used for?
- Netlify is most often used for hosting static sites and frontend frameworks with global cdn delivery, deploy previews on every pull request, serverless functions alongside a static site, netlify database and blob storage for small application state. Of those, hosting static sites and frontend frameworks with global cdn delivery and deploy previews on every pull request are not what Seldon is typically brought in for.
- What can Netlify do that Seldon cannot?
- Netlify covers Continuous deployment, Instant rollbacks, Deploy previews, Split testing. Seldon covers Kubernetes custom resources, Inference graphs, Traffic strategies, Open Inference Protocol.
Answered from the vendors’ own pages
Netlify: Is Netlify free?
Netlify offers a free tier with 300 credits per month, suitable for individual developers. It includes deploy previews, custom domains with SSL, functions, database storage, and global CDN access.
SourceSeldon: 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.
Netlify: What is Netlify's pricing model?
Netlify charges based on credits. Production deployments cost 15 credits at 0.10 dollars each. Compute costs 10 credits per GB-hour at 0.07 dollars. Bandwidth costs 20 credits per GB at 0.13 dollars. Web requests cost 2 credits per 10000 requests at 0.01 dollars.
SourceSeldon: 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.
Netlify: What does the Pro plan include?
The Pro Plan costs 20 dollars per month and includes 3000 credits, private repositories, shared environment variables, 3 plus concurrent builds, and 30-day analytics periods.
SourceSeldon: 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.
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.
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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