Technology · head to head
Docker vs Seldon
Docker
Technology
Accelerate how you build, share, and run applications
- 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: Docker shared kernel creates security vulnerabilities when containers share the same OS kernel that can bypass container isolation; 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: Docker covers Container runtime, Seldon covers Kubernetes custom resources.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Docker 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 Docker
- Container runtime
- Docker Desktop
- Docker Hub
- Docker Compose
- Container images
- Dockerfile
- Docker Swarm
- BuildKit
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.
Docker
- Application containerizationnot Seldon
- Microservicesnot Seldon
- CI/CD pipelinesnot Seldon
- Development environmentsnot Seldon
- Cloud migrationnot Seldon
Seldon
- Serving an ensemble or a multi-stage inference path as one versioned deployment rather than as a chain of separate servicesnot Docker
- Running genuine production experiments where a share of live traffic goes to a candidate model and the results are comparednot Docker
- Regulated environments needing explanations and drift monitoring attached to the served model rather than bolted on laternot Docker
- Organisations with an established Kubernetes platform team who want serving expressed as manifests under existing deployment controlsnot Docker
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Docker
- Shared kernel creates security vulnerabilities when containers share the same OS kernel that can bypass container isolation
- Daemon socket exposure grants full root access to the host if compromised
- Requires careful secrets management - credentials embedded in images or environment variables are easily harvested by attackers
- Resource management complexity - misbehaving or compromised containers can consume all resources causing denial of service
- Orchestration complexity - Docker Swarm is less capable than Kubernetes, requiring external tools for production deployments
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
Docker
FreeNo published plan breakdown. See the Docker review.
Seldon
Free- Seldon CoreFree
- Open source
- Kubernetes deployment
- Model serving
- Seldon DeployFree
- Enterprise features
- GUI
- Monitoring
Which should you pick?
Choose Docker if
- You need container runtime.
- You want to start without paying.
- You work on Linux, macOS, Windows.
- You also want docker desktop.
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 Docker or Seldon better?
- Neither clearly leads. Docker 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, Docker or Seldon?
- Docker starts at Free and Seldon at Free.
- Does Docker or Seldon run on more platforms?
- Docker runs on Linux, macOS, Windows. Seldon runs on Linux.
- Can I use Docker for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Docker best used for?
- Docker is most often used for application containerization, microservices, ci/cd pipelines, development environments. Of those, application containerization and microservices are not what Seldon is typically brought in for.
- What can Docker do that Seldon cannot?
- Docker covers Container runtime, Docker Desktop, Docker Hub, Docker Compose. Seldon covers Kubernetes custom resources, Inference graphs, Traffic strategies, Open Inference Protocol.
Answered from the vendors’ own pages
Docker: What is Docker pricing?
Docker offers a freemium model with Docker Personal free, Docker Pro at $11/user/month, Docker Team at $16/user/month, and Docker Business at $24/user/month. Each tier includes Docker Desktop, Docker Hub, and Docker Scout with different usage limits.
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.
Docker: Can I use Docker in production?
Yes. Docker is used extensively in production environments. However, for container orchestration at scale, Kubernetes is typically paired with Docker to automate deployment, scaling, and management across clusters.
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.
Docker: What are the main security concerns with Docker?
Key security risks include container breakout vulnerabilities through shared kernel exploits, daemon socket exposure that grants root access if compromised, weak isolation between containers, and credential leakage if secrets are embedded in images.
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.
Docker: Does Docker integrate with CI/CD systems?
Yes. Docker integrates with Jenkins, GitHub, and other CI/CD systems. The typical workflow involves GitHub repositories triggering automated builds in Jenkins, which prepare Dockerfiles and push images to Docker Hub for deployment.
SourceSeldon: 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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