Software · head to head
JMP vs Seldon
The short version
- Each has a real cost: JMP the Internet Archive's capture of JMP's homepage on 13 January 2020 named five distinct editions, JMP, JMP Live, JMP Pro, JMP Clinical, and JMP Genomics, each targeting a different analysis use case, with no price figure published for any.; 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: JMP covers Interactive statistics, Seldon covers Model serving.
Where they differ
Only the attributes on which JMP and Seldon actually diverge.
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Unknown).
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 JMP
- Interactive statistics
- Dynamic visualization
- Design of experiments
- Predictive modeling
- Quality control
- SAS
- Python
- R
Only in Seldon
- Model serving
- A/B testing
- Canary deployments
- Outlier detection
- Model explainability
- Kubernetes
- Istio
- Prometheus
What people use each for
The jobs each tool is most often brought in to do.
JMP
- Machine learningnot Seldon
- Data analysisnot Seldon
- Model trainingnot Seldon
- Predictive analyticsnot Seldon
Seldon
- Serving and routing machine learning models on Kubernetesnot JMP
- Building multi-step inference pipelines with A/B tests and explainersnot JMP
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
JMP
- The Internet Archive's capture of JMP's homepage on 13 January 2020 named five distinct editions, JMP, JMP Live, JMP Pro, JMP Clinical, and JMP Genomics, each targeting a different analysis use case, with no price figure published for any.
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
JMP
Free- TrialFree
- 30-day trial
- Full features
- JMP$1785/year
- Core JMP
- Standard features
Seldon
Free- Seldon CoreFree
- Open source
- Kubernetes deployment
- Model serving
- Seldon DeployFree
- Enterprise features
- GUI
- Monitoring
Which should you pick?
Choose JMP if
- You need interactive statistics.
- You want to start without paying.
- You work on Mac, Windows.
- You also want dynamic visualization.
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 JMP or Seldon better?
- Neither clearly leads. JMP 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, JMP or Seldon?
- JMP starts at Free and Seldon at Free.
- Does JMP or Seldon run on more platforms?
- JMP runs on Mac, Windows. Seldon runs on Linux.
- Can I use JMP for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is JMP best used for?
- JMP 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 JMP do that Seldon cannot?
- JMP covers Interactive statistics, Dynamic visualization, Design of experiments, Predictive modeling. Seldon covers Model serving, A/B testing, Canary deployments, Outlier detection.
Related pages
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- 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
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