Softwr

Spreadsheets · head to head

Apache Superset vs Seldon

Apache Superset logo

Apache Superset

Spreadsheets

Modern data exploration and visualization platform

From
Free
Rated
-
Full reviewWebsite
Seldon logo

Seldon

Machine Learning

Kubernetes model serving whose current version is licensed under the Business Source Licence

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Apache Superset no commercial pricing; open-source project; 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: Apache Superset covers 40+ Visualizations, Seldon covers Kubernetes custom resources.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Apache Superset and Seldon actually diverge.

Attributes where Apache Superset and Seldon differ
AttributeApache SupersetSeldon
Pricing modelopen-sourcefreemium
PlatformsWeb, Self-hosted, DockerLinux
CategorySpreadsheetsMachine Learning
Founded19992014

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 Apache Superset

  • 40+ Visualizations
  • SQL IDE
  • Semantic Layer
  • Caching
  • Security
  • PostgreSQL
  • MySQL
  • Presto

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.

Apache Superset

  • Self-service analyticsnot Seldon
  • Data explorationnot Seldon
  • Ad-hoc reportingnot Seldon
  • Collaborative analysisnot Seldon
  • Embedded analyticsnot Seldon

Seldon

  • Serving an ensemble or a multi-stage inference path as one versioned deployment rather than as a chain of separate servicesnot Apache Superset
  • Running genuine production experiments where a share of live traffic goes to a candidate model and the results are comparednot Apache Superset
  • Regulated environments needing explanations and drift monitoring attached to the served model rather than bolted on laternot Apache Superset
  • Organisations with an established Kubernetes platform team who want serving expressed as manifests under existing deployment controlsnot Apache Superset

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Apache Superset

  • No commercial pricing; open-source project
  • Commercial hosting available via Preset.io (separate vendor)

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

Apache Superset

Free
  • Open SourceFree
    • Full Features
    • Self-hosted
    • Community Support

Seldon

Free
  • Seldon CoreFree
    • Open source
    • Kubernetes deployment
    • Model serving
  • Seldon DeployFree
    • Enterprise features
    • GUI
    • Monitoring

Which should you pick?

Choose Apache Superset if

  • You need 40+ visualizations.
  • You want to start without paying.
  • You work on Web, Self-hosted, Docker.
  • You also want sql ide.
Apache Superset review

Choose Seldon if

  • You need kubernetes custom resources.
  • You want to start without paying.
  • You work on Linux.
  • You also want inference graphs.
Seldon review

Questions people ask

Is Apache Superset or Seldon better?
Neither clearly leads. Apache Superset 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, Apache Superset or Seldon?
Apache Superset starts at Free and Seldon at Free.
Does Apache Superset or Seldon run on more platforms?
Apache Superset runs on Web, Self-hosted, Docker. Seldon runs on Linux.
Can I use Apache Superset for free?
Both have a free tier, so you can try either at no cost before committing.
What is Apache Superset best used for?
Apache Superset is most often used for self-service analytics, data exploration, ad-hoc reporting, collaborative analysis. Of those, self-service analytics and data exploration are not what Seldon is typically brought in for.
What can Apache Superset do that Seldon cannot?
Apache Superset covers 40+ Visualizations, SQL IDE, Semantic Layer, Caching. Seldon covers Kubernetes custom resources, Inference graphs, Traffic strategies, Open Inference Protocol.

Answered from the vendors’ own pages

Apache Superset: What does Apache Superset cost?

Apache Superset is open-source software available free under the Apache 2.0 license. There are no licensing costs, subscription fees, or per-seat charges for using Superset itself.

Source
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.

Apache Superset: Is there a paid version of Apache Superset?

Apache Superset itself is free and open-source. Preset.io offers commercial Superset hosting with premium support, but this is a separate vendor service, not an official paid tier of Superset.

Source
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.

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.

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.

Share

Related pages

More on Apache Superset

More on Seldon

Keep looking

Other head to heads