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Machine Learning · head to head

Seldon vs Sysdig

Seldon logo

Seldon

Machine Learning

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

From
Free
Rated
-
Full reviewWebsite
Sysdig logo

Sysdig

Cybersecurity

Cloud-native runtime security platform with real-time detection and response

From
On request
Rated
-
Full reviewWebsite

The short version

  • Only Seldon has a free tier, so it costs nothing to try first.
  • Each has a real cost: 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.; Sysdig custom pricing requires sales contact, difficult to compare costs
  • They diverge on capability: Seldon covers Kubernetes custom resources, Sysdig covers Real-time threat detection and response.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Seldon and Sysdig actually diverge.

Attributes where Seldon and Sysdig differ
AttributeSeldonSysdig
Starting priceFreeOn request
Pricing modelfreemiumCustom pricing based on number of hosts, events processed, or time series data
Free tierYesNo
PlatformsLinuxKubernetes, Docker, AWS, GCP, Azure, Cloud-native
CategoryMachine LearningCybersecurity
Founded20142013

Identical on both: 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 Seldon

  • Kubernetes custom resources
  • Inference graphs
  • Traffic strategies
  • Open Inference Protocol
  • Alibi Explain
  • Alibi Detect
  • Kafka-backed pipelines in v2
  • Commercial control plane

Only in Sysdig

  • Real-time threat detection and response
  • Runtime intelligence
  • AI-powered security agents
  • Vulnerability management
  • Cloud Security Posture Management
  • Container and Kubernetes security
  • Infrastructure as Code security
  • Cloud Infrastructure Entitlement Management

What people use each for

The jobs each tool is most often brought in to do.

Seldon

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

Sysdig

  • Real-time threat detection in Kubernetes clustersnot Seldon
  • Container workload vulnerability prioritizationnot Seldon
  • Cloud security posture compliance monitoringnot Seldon
  • Infrastructure entitlement and permission analysisnot Seldon
  • AI workload security and threat remediationnot Seldon

Where each one falls short

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

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.

Sysdig

  • Custom pricing requires sales contact, difficult to compare costs
  • No published pricing tiers or calculator available
  • Primarily focused on cloud-native environments
  • Requires integration with existing SIEM or monitoring tools for full visibility
  • Steep learning curve for runtime security concepts

Pricing, plan by plan

Seldon

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

Sysdig

On request

No published plan breakdown. See the Sysdig review.

Which should you pick?

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

Choose Sysdig if

  • You need real-time threat detection and response.
  • You work on Kubernetes, Docker, AWS, GCP, Azure, Cloud-native.
  • You also want runtime intelligence.
Sysdig review

Questions people ask

Is Seldon or Sysdig better?
Neither clearly leads. Seldon starts at Free and Sysdig at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Seldon or Sysdig?
Seldon has a free tier; the other does not. Paid plans start at Free for Seldon and On request for Sysdig.
Does Seldon or Sysdig run on more platforms?
Seldon runs on Linux. Sysdig runs on Kubernetes, Docker, AWS, GCP, Azure, Cloud-native.
Can I use Seldon for free?
Yes. Seldon has a free tier, so you can try it without paying. Sysdig starts at On request.
What is Seldon best used for?
Seldon is most often used for serving an ensemble or a multi-stage inference path as one versioned deployment rather than as a chain of separate services, running genuine production experiments where a share of live traffic goes to a candidate model and the results are compared, regulated environments needing explanations and drift monitoring attached to the served model rather than bolted on later, organisations with an established kubernetes platform team who want serving expressed as manifests under existing deployment controls. Of those, serving an ensemble or a multi-stage inference path as one versioned deployment rather than as a chain of separate services and running genuine production experiments where a share of live traffic goes to a candidate model and the results are compared are not what Sysdig is typically brought in for.
What can Seldon do that Sysdig cannot?
Seldon covers Kubernetes custom resources, Inference graphs, Traffic strategies, Open Inference Protocol. Sysdig covers Real-time threat detection and response, Runtime intelligence, AI-powered security agents, Vulnerability management.

Answered from the vendors’ own pages

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.

Sysdig: How does Sysdig achieve real-time threat detection?

Sysdig uses runtime intelligence with kernel-level system visibility, capturing live system calls to detect threats at machine speed, typically within 2 seconds.

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.

Sysdig: What is runtime intelligence and how does it differ from configuration-based security?

Runtime intelligence reveals what is actually executing in cloud environments through kernel-level visibility, rather than relying on theoretical risks from configuration analysis alone.

Source
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.

Sysdig: What cloud platforms does Sysdig support?

Sysdig supports AWS, GCP, Azure, and IBM Cloud with multiple regional data centers across US, EU, and other regions.

Source
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.

Sysdig: Does Sysdig integrate with existing security tools?

Yes, Sysdig integrates with existing SIEM and monitoring tools to provide unified security visibility across cloud infrastructure.

Source
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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