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Jenkins vs Seldon

Jenkins logo

Jenkins

Technology

A self-hosted automation server that can build almost anything, through a plugin ecosystem that is also its main liability.

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: Jenkins the controller is stateful and, in the open source distribution, has no high availability: build history, configuration and plugin state live on one filesystem, so every plugin upgrade and core update is downtime for every team using it, and a controller disk failure is a restore-from-backup event.; 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: Jenkins covers Plugin ecosystem, Seldon covers Kubernetes custom resources.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Jenkins and Seldon actually diverge.

Attributes where Jenkins and Seldon differ
AttributeJenkinsSeldon
Pricing modelopen-sourcefreemium
PlatformsLinux, Windows, Macos, DockerLinux
CategoryTechnologyMachine Learning
Founded20112014

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 Jenkins

  • Plugin ecosystem
  • Distributed agents
  • Declarative and scripted pipelines
  • Shared libraries
  • Configuration as Code
  • Credentials management
  • Self-hosted anywhere
  • Multibranch and organisation folders

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.

Jenkins

  • Builds that must touch physical hardware, such as embedded devices, test rigs or signing modules attached to a specific machinenot Seldon
  • Air-gapped or heavily regulated environments where a hosted CI runner cannot be used at allnot Seldon
  • Toolchains that hosted CI does not support, including node-locked commercial licences for EDA, CAD or simulation softwarenot Seldon
  • Organisations with years of existing Jenkins pipelines where the migration cost currently outweighs the operational cost of stayingnot Seldon

Seldon

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

Where each one falls short

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

Jenkins

  • The controller is stateful and, in the open source distribution, has no high availability: build history, configuration and plugin state live on one filesystem, so every plugin upgrade and core update is downtime for every team using it, and a controller disk failure is a restore-from-backup event.
  • Capability comes from around 1,900 community plugins of very uneven maintenance, and the Jenkins security team regularly publishes advisories for plugins whose maintainer has gone; in some cases the advisory itself states that no fix is available and the only remedy is to stop using it.
  • Plugin upgrades are coupled: one plugin can require a newer core or a newer version of another plugin, so applying a single security fix cascades into a coordinated upgrade of a dozen components on a timetable you did not choose.
  • Pipelines are Groovy running under a sandbox and a continuation-passing-style transformation, so ordinary Groovy constructs sometimes fail in non-obvious ways, and the debugging skill you build transfers to no other CI system.
  • It is free to licence and expensive to run: somebody must own the controller, the agents, the Java version, the credentials store and the plugin upgrade cycle, and that recurring staff cost is the usual reason organisations move to hosted CI even when Jenkins works.
  • Leaving is costly by construction, because shared libraries, plugin-specific pipeline steps and accumulated freestyle jobs have no mechanical translation into GitHub Actions or GitLab CI, so the migration is a rewrite whose price grows every year you defer it.

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

Jenkins

Free
  • Open SourceFree
    • Unlimited builds
    • 1000+ plugins
    • Self-hosted
  • CloudBees CI$undefined/month
    • Enterprise features
    • High availability
    • Role-based access

Seldon

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

Which should you pick?

Choose Jenkins if

  • You need plugin ecosystem.
  • You want to start without paying.
  • You work on Linux, Windows, Macos, Docker.
  • You also want distributed agents.
Jenkins 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 Jenkins or Seldon better?
Neither clearly leads. Jenkins 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, Jenkins or Seldon?
Jenkins starts at Free and Seldon at Free.
Does Jenkins or Seldon run on more platforms?
Jenkins runs on Linux, Windows, Macos, Docker. Seldon runs on Linux.
Can I use Jenkins for free?
Both have a free tier, so you can try either at no cost before committing.
What is Jenkins best used for?
Jenkins is most often used for builds that must touch physical hardware, such as embedded devices, test rigs or signing modules attached to a specific machine, air-gapped or heavily regulated environments where a hosted ci runner cannot be used at all, toolchains that hosted ci does not support, including node-locked commercial licences for eda, cad or simulation software, organisations with years of existing jenkins pipelines where the migration cost currently outweighs the operational cost of staying. Of those, builds that must touch physical hardware, such as embedded devices, test rigs or signing modules attached to a specific machine and air-gapped or heavily regulated environments where a hosted ci runner cannot be used at all are not what Seldon is typically brought in for.
What can Jenkins do that Seldon cannot?
Jenkins covers Plugin ecosystem, Distributed agents, Declarative and scripted pipelines, Shared libraries. Seldon covers Kubernetes custom resources, Inference graphs, Traffic strategies, Open Inference Protocol.

Answered from the vendors’ own pages

Jenkins: Why choose Jenkins over GitHub Actions or GitLab CI?

When the build needs something hosted runners cannot give you: physical hardware, an air-gapped network, a node-locked commercial tool licence, or an unusual platform. If none of those apply, hosted CI is usually less work to own.

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.

Jenkins: Can Jenkins run in high availability?

Not in the open source distribution, which runs a single active controller. High availability and active-active controllers are features of CloudBees' commercial products. Open source deployments mitigate it with fast restores and, sometimes, multiple independent controllers.

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.

Jenkins: How risky are the plugins?

This is the main operational risk. Many plugins have a single volunteer maintainer, and Jenkins publishes security advisories for unmaintained plugins where no fix exists. Auditing which plugins you depend on and who maintains them should be a periodic task, not a one-off.

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.

Jenkins: Do I need to know Groovy?

For declarative pipelines you can go a long way without it. Anything involving shared libraries, conditional logic or custom steps is Groovy, and it runs in a sandboxed, transformed environment where standard Groovy idioms sometimes behave unexpectedly.

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.

Jenkins: What does it cost?

The software is free under the MIT licence. The cost is infrastructure and staff time to run controllers, agents and upgrades, plus a CloudBees subscription if you want high availability, support or centralised management of many controllers.

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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