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Machine Learning & Data Science · head to head

BentoML vs Seldon

BentoML logo

BentoML

Machine Learning & Data Science

Build production-ready ML applications

From
Free
Rated
-
Full reviewWebsite
Seldon logo

Seldon

Machine Learning & Data Science

Deploy, scale, and monitor machine learning models

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: BentoML core BentoML framework is Apache 2.0 and free, but the managed BentoCloud enterprise tier has no published pricing: the README instructs buyers to sign up for personal access or contact sales for enterprise use, with no rate card shown.; Seldon production deployment requires a Kubernetes cluster, whether managed such as GKE, EKS or AKS, or on-premises such as OpenShift
  • They diverge on capability: BentoML covers Model packaging, Seldon covers Model serving.

Where they differ

Only the attributes on which BentoML and Seldon actually diverge.

Attributes where BentoML and Seldon differ
AttributeBentoMLSeldon
PlatformsLinux, Mac, WindowsLinux
Founded20192014

Identical on both: starting price (Free), pricing model (freemium), free tier (Yes), user rating (Not yet rated), category (Machine Learning & Data Science).

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 BentoML

  • Model packaging
  • REST API generation
  • Adaptive batching
  • Multi-framework support
  • Container deployment
  • PyTorch
  • TensorFlow
  • scikit-learn

Only in Seldon

  • Model serving
  • A/B testing
  • Canary deployments
  • Outlier detection
  • Model explainability
  • Kubernetes
  • Istio
  • Prometheus

Both cover

  • Linux support

What people use each for

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

BentoML

  • Machine learningnot Seldon
  • Data analysisnot Seldon
  • Model trainingnot Seldon
  • Predictive analyticsnot Seldon

Seldon

  • Serving and routing machine learning models on Kubernetesnot BentoML
  • Building multi-step inference pipelines with A/B tests and explainersnot BentoML

Where each one falls short

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

BentoML

  • Core BentoML framework is Apache 2.0 and free, but the managed BentoCloud enterprise tier has no published pricing: the README instructs buyers to sign up for personal access or contact sales for enterprise use, with no rate card shown.

Seldon

  • Production deployment requires a Kubernetes cluster, whether managed such as GKE, EKS or AKS, or on-premises such as OpenShift
  • The documented components carry both minimum and maximum supported versions, so newer Kubernetes and dependency versions are not automatically supported
  • Dataflow Pipelines need an additional component that the docs recommend avoiding installing when pipelines are not used
  • The Docker Compose install is offered as a lightweight alternative for environments without Kubernetes rather than as a production path

Pricing, plan by plan

BentoML

Free
  • Open SourceFree
    • Model packaging
    • API creation
    • Local serving
  • BentoCloudFree
    • Managed deployment
    • Auto-scaling
    • Monitoring

Seldon

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

Which should you pick?

Choose BentoML if

  • You need model packaging.
  • You want to start without paying.
  • You work on Linux, Mac, Windows.
  • You also want rest api generation.
BentoML review

Choose Seldon if

  • You need model serving.
  • You want to start without paying.
  • You work on Linux.
  • You also want a/b testing.
Seldon review

Questions people ask

Is BentoML or Seldon better?
Neither clearly leads. BentoML 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, BentoML or Seldon?
BentoML starts at Free and Seldon at Free.
Does BentoML or Seldon run on more platforms?
BentoML runs on Linux, Mac, Windows. Seldon runs on Linux.
Can I use BentoML for free?
Both have a free tier, so you can try either at no cost before committing.
What is BentoML best used for?
BentoML is most often used for machine learning, data analysis, model training, predictive analytics. Of those, machine learning and data analysis are not what Seldon is typically brought in for.
What can BentoML do that Seldon cannot?
BentoML covers Model packaging, REST API generation, Adaptive batching, Multi-framework support. Seldon covers Model serving, A/B testing, Canary deployments, Outlier detection. Both handle Linux support.
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