Software · head to head
Pachyderm vs Seldon
The short version
- Each has a real cost: Pachyderm core software is Apache-2.0 licensed and free to self-host; 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: Pachyderm covers Data versioning, Seldon covers Model serving.
Where they differ
Only the attributes on which Pachyderm and Seldon actually diverge.
Identical on both: starting price (Free), pricing model (freemium), free tier (Yes), platforms (Linux), user rating (Not yet rated), category (Unknown), founded (2014).
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 Pachyderm
- Data versioning
- Data-driven pipelines
- Automatic provenance
- Kubernetes-native
- Reproducibility
- S3
- GCS
- Azure Blob
Only in Seldon
- Model serving
- A/B testing
- Canary deployments
- Outlier detection
- Model explainability
- Istio
- Prometheus
- Grafana
Both cover
- Kubernetes
- Linux support
What people use each for
The jobs each tool is most often brought in to do.
Pachyderm
- Machine learningnot Seldon
- Data analysisnot Seldon
- Model trainingnot Seldon
- Predictive analyticsnot Seldon
Seldon
- Serving and routing machine learning models on Kubernetesnot Pachyderm
- Building multi-step inference pipelines with A/B tests and explainersnot Pachyderm
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Pachyderm
- Core software is Apache-2.0 licensed and free to self-host
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
Pachyderm
Free- CommunityFree
- Core features
- Community support
- EnterpriseFree
- Advanced security
- Premium support
- SLAs
Seldon
Free- Seldon CoreFree
- Open source
- Kubernetes deployment
- Model serving
- Seldon DeployFree
- Enterprise features
- GUI
- Monitoring
Which should you pick?
Choose Pachyderm if
- You need data versioning.
- You want to start without paying.
- You work on Linux.
- You also want data-driven pipelines.
Choose Seldon if
- You need model serving.
- You want to start without paying.
- You work on Linux.
- You also want a/b testing.
Questions people ask
- Is Pachyderm or Seldon better?
- Neither clearly leads. Pachyderm 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, Pachyderm or Seldon?
- Pachyderm starts at Free and Seldon at Free.
- Does Pachyderm or Seldon run on more platforms?
- Both run on Linux, so platform support will not decide this one for you.
- Can I use Pachyderm for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Pachyderm best used for?
- Pachyderm 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 Pachyderm do that Seldon cannot?
- Pachyderm covers Data versioning, Data-driven pipelines, Automatic provenance, Kubernetes-native. Seldon covers Model serving, A/B testing, Canary deployments, Outlier detection. Both handle Kubernetes, Linux support.
Related pages
Keep looking
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- Pachyderm vs DataRobot
- Pachyderm vs Snowflake
- Pachyderm vs TensorFlow
- Pachyderm vs Comet ML
- Pachyderm vs Keras
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- Pachyderm vs Dataiku
- Seldon vs AWS SageMaker
- Seldon vs Google Vertex AI
- Seldon vs Azure Machine Learning
- Seldon vs DataRobot
- Seldon vs Snowflake
- Seldon vs TensorFlow
- Seldon vs Comet ML
- Seldon vs Keras
- Seldon vs MLflow
- Seldon vs Jupyter
- Seldon vs PyTorch
- Seldon vs scikit-learn
- Seldon vs Apache Spark MLlib
- Seldon vs Weights & Biases
- Seldon vs Alteryx
- Seldon vs Anaconda
- Seldon vs Databricks
- Seldon vs Dataiku

