Cybersecurity · head to head
Infisical vs Seldon

Infisical
Cybersecurity
Security infrastructure for developers and AI agents
- 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: Infisical free tier limited to 5 identities, suitable only for small teams or evaluation; 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: Infisical covers Secrets management, Seldon covers Kubernetes custom resources.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Infisical 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 Infisical
- Secrets management
- Certificate management
- Privileged access management
- Secret versioning
- Dynamic secrets
- SAML SSO
- Open-source core
- Secrets scanning
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.
Infisical
- Managing secrets across Kubernetes clustersnot Seldon
- Automating certificate lifecycle for internal PKInot Seldon
- Providing privileged database access with audit trailsnot Seldon
- Securing credentials for AI agents at runtimenot Seldon
Seldon
- Serving an ensemble or a multi-stage inference path as one versioned deployment rather than as a chain of separate servicesnot Infisical
- Running genuine production experiments where a share of live traffic goes to a candidate model and the results are comparednot Infisical
- Regulated environments needing explanations and drift monitoring attached to the served model rather than bolted on laternot Infisical
- Organisations with an established Kubernetes platform team who want serving expressed as manifests under existing deployment controlsnot Infisical
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Infisical
- Free tier limited to 5 identities, suitable only for small teams or evaluation
- Pricing tiers are per-identity, which scales costs with team size
- Certificate management requires Enterprise plan for advanced features like wildcards
- Privileged access tier is separate billing from secrets management
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
Infisical
Free- FreeFree
- 5 identities
- Unlimited projects
- 3 environments
- Pro - Secrets$20/month
- Per-identity pricing
- Unlimited identities
- SAML SSO
- Pro - Secrets (Annual)$20/year
- Annual discount available
- Unlimited identities
- SAML SSO
- Advanced - Secrets$40/month
- Per-identity pricing
- Dynamic secrets
- Gateways
Seldon
Free- Seldon CoreFree
- Open source
- Kubernetes deployment
- Model serving
- Seldon DeployFree
- Enterprise features
- GUI
- Monitoring
Which should you pick?
Choose Infisical if
- You need secrets management.
- You want to start without paying.
- You work on Web, CLI, Cloud, Self-Hosted.
- You also want certificate management.
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 Infisical or Seldon better?
- Neither clearly leads. Infisical 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, Infisical or Seldon?
- Infisical starts at Free and Seldon at Free.
- Does Infisical or Seldon run on more platforms?
- Infisical runs on Web, CLI, Cloud, Self-Hosted. Seldon runs on Linux.
- Can I use Infisical for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Infisical best used for?
- Infisical is most often used for managing secrets across kubernetes clusters, automating certificate lifecycle for internal pki, providing privileged database access with audit trails, securing credentials for ai agents at runtime. Of those, managing secrets across kubernetes clusters and automating certificate lifecycle for internal pki are not what Seldon is typically brought in for.
- What can Infisical do that Seldon cannot?
- Infisical covers Secrets management, Certificate management, Privileged access management, Secret versioning. Seldon covers Kubernetes custom resources, Inference graphs, Traffic strategies, Open Inference Protocol.
Answered from the vendors’ own pages
Infisical: How is pricing calculated for Secrets Management?
Pricing is per-identity per month. Free tier includes 5 identities. Pro tier is $20/identity/month, Advanced is $40/identity/month. All pricing in USD.
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.
Infisical: Can I self-host Infisical?
Yes, Infisical's core is open-source under the MIT license and can be self-hosted. The managed cloud service is also available with additional features.
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.
Infisical: What is included in the Enterprise plan?
Enterprise plan includes SCIM, LDAP, approval workflows, external KMS/HSM support, and 99.99% SLA. Pricing is custom and determined by annual commitment.
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.
Related pages
Other head to heads
- Infisical vs Akeyless
- Infisical vs Doppler
- Infisical vs HashiCorp Vault
- Infisical vs Chainguard
- Infisical vs Authelia
- Infisical vs Bitwarden
- Infisical vs Delinea
- Infisical vs Semgrep
- Infisical vs Trivy
- Infisical vs Grype
- Infisical vs Ory Kratos
- Infisical vs Legit Security
- Infisical vs LogRhythm SIEM
- Infisical vs Metasploit
- Infisical vs MetricStream
- Infisical vs Microsoft Defender
- Infisical vs Ory
- Infisical vs Microsoft Sentinel
- Infisical vs AWS SageMaker
- Infisical vs DataRobot
- Infisical vs Azure Machine Learning
- Infisical vs Google Vertex AI
- Infisical vs BentoML
- Infisical vs Kubeflow
- Infisical vs Pachyderm
- Infisical vs MLflow
- Infisical vs DVC
- Infisical vs Weights & Biases
- Infisical vs Comet ML
- Infisical vs Dataiku
- Infisical vs Anaconda
- Infisical vs Domino Data Lab
- Infisical vs H2O.ai
- Infisical vs Hugging Face
- Seldon vs Akeyless
- Seldon vs Doppler
- Seldon vs HashiCorp Vault
- Seldon vs Chainguard
- Seldon vs Authelia
- Seldon vs Bitwarden
- Seldon vs Delinea
- Seldon vs Semgrep
- Seldon vs Trivy
- Seldon vs Grype
- Seldon vs Ory Kratos
- Seldon vs Legit Security
- Seldon vs LogRhythm SIEM
- Seldon vs Metasploit
- Seldon vs MetricStream
- Seldon vs Microsoft Defender
- Seldon vs Ory
- Seldon vs Microsoft Sentinel
- Seldon vs AWS SageMaker
- Seldon vs DataRobot
- Seldon vs Azure Machine Learning
- Seldon vs Google Vertex AI
- Seldon vs BentoML
- Seldon vs Kubeflow
- Seldon vs Pachyderm
- Seldon vs MLflow
- Seldon vs DVC
- Seldon vs Weights & Biases
- Seldon vs Comet ML
- Seldon vs Dataiku
- Seldon vs Anaconda
- Seldon vs Domino Data Lab
- Seldon vs H2O.ai
- Seldon vs Hugging Face
