vioscaleAI
Comparison

Amazon SageMaker Experiments vs Polyaxon

No leader: the top candidate Polyaxon has only 0.26 confidence (low), below the 0.35 needed to declare a winner. The attribute-by-attribute breakdown below, with a source and date on every value, is the honest way to compare them.

Amazon SageMaker Experiments full profile →Polyaxon full profile →
Machine formatsMarkdownJSONGraphQLMarkdown is open. JSON and GraphQL need a free key.
Amazon SageMaker Experiments42
Polyaxon57
Score
vioscaleAI score
Amazon SageMaker Experiments42 / 100medium · 55%
Polyaxon57 / 100low · 26%
Pricing
Free tier
Amazon SageMaker Experiments✓
Polyaxon✓
Model
Amazon SageMaker Experimentsfreemium
Polyaxonfreemium
Price level
Amazon SageMaker Experimentslow
Polyaxonhigh
Starting price
Amazon SageMaker Experiments–
Polyaxon$555
Transparent
Amazon SageMaker Experiments✗
Polyaxon✓
Integrations
Count
Amazon SageMaker Experiments9
Polyaxon7
Security
Certifications
Amazon SageMaker ExperimentsGDPR, HIPAA/HITECH, PCI-DSS, FedRAMP
Polyaxon–
Fedramp
Amazon SageMaker Experiments✓
Polyaxon–
Gdpr
Amazon SageMaker Experiments✓
Polyaxon–
Hipaa
Amazon SageMaker Experiments✓
Polyaxon–
Pci
Amazon SageMaker Experiments✓
Polyaxon–
Trust center
Amazon SageMaker Experimentshttps://aws.amazon.com/compliance/?nc2=h_dsc_aa_cmp
Polyaxon–
Market
Availability
Content
Faq
Amazon SageMaker Experiments7 items
Polyaxon6 items

Capabilities

Feature-by-feature on the axes that matter for experiment tracking. “-” means undocumented, not absent.

Capabilities
Deployment model
Amazon SageMaker Experiments-
PolyaxonSelf hosted
Open source
Amazon SageMaker Experiments-
Polyaxon✓
Metrics and artifact logging
Amazon SageMaker Experiments✓
Polyaxon✓
Native hyperparameter sweeps
Amazon SageMaker Experiments-
Polyaxon✓
Run comparison diffing
Amazon SageMaker Experiments✓
Polyaxon✓
Model registry bundled
Amazon SageMaker Experiments-
Polyaxon✓
Data versioning integration
Amazon SageMaker Experiments-
Polyaxon✓
Distributed multi node tracking
Amazon SageMaker Experiments-
Polyaxon✓
Team collaboration workspaces
Amazon SageMaker Experiments✓
Polyaxon✓
LLM genai eval tracking
Amazon SageMaker Experiments-
Polyaxon✓
RBAC governance
Amazon SageMaker Experiments✓
Polyaxon✓
SOC2
Amazon SageMaker Experiments-
Polyaxon-
Pricing model
Amazon SageMaker Experiments-
PolyaxonFreemium saas

What each one is

The product in its own terms, so the numbers below have context.

Amazon SageMaker Experiments

A managed service that enables data scientists and ML engineers to log metrics, parameters, and artifacts from training experiments, compare multiple runs side-by-side, and manage the ML development lifecycle with built-in governance and collaboration features.

Independently observed

Polyaxon

An open-source control plane that enables teams to run, track, and govern AI experiments and workloads on Kubernetes. Includes experiment tracking with metrics and artifacts, distributed training support, hyperparameter tuning, workflow orchestration, and model registry capabilities.

Independently observed

Pricing

List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.

Amazon SageMaker Experiments

Usage-basedFree tier

Pay-as-you-go pricing; 1 or 3-year Savings Plans available for compute services

as of verify ↗

Polyaxon

from $555/moHybridFree tier

From $555/month. Free tier for academic use; 25% discount for early-stage startups.

  • Platform$555/month
    • All core features
    • Security and protection features
    • Collaboration features
    • Full UI and scheduling services
    • Service accounts for CI/CD/CT
    • +7 more
  • Teams$1500/month
    • Everything in Platform
    • Advanced restrictions
    • Teams management
    • Organization and team-level roles
    • Outsider, Viewer, and Manager roles
    • +4 more
  • EnterpriseContact sales
    • Everything in Teams
    • Custom number of seats
    • Custom number of compute clusters
    • Custom number of organizations
    • Custom number of active schedules
    • +12 more
as of verify ↗

Platform & deployment

Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.

Platforms
Web
Amazon SageMaker Experiments✓
Polyaxon✓
CLI
Amazon SageMaker Experiments✓
Polyaxon✓
Deployment
Cloud / SaaS
Amazon SageMaker Experiments✓
Polyaxon✓
Self-hosted
Amazon SageMaker Experiments✗
Polyaxon✓
On-premise
Amazon SageMaker Experiments✗
Polyaxon✓
Hybrid
Amazon SageMaker Experiments✗
Polyaxon✓

Integrations

What each product connects to. Counts come from the vendor's own integration directory where one exists.

Amazon SageMaker Experiments

12 total
  • Apache Spark
  • Apache Flink
  • Trino
  • Apache Airflow
  • Amazon S3
  • Amazon Redshift
  • Amazon EMR
  • Amazon EKS
  • Amazon MWAA
  • Amazon SageMaker Studio
  • Amazon Q Developer
  • AWS Glue
Independently observed

Polyaxon

16 total
  • Slack
  • Git
  • TensorFlow
  • PyTorch
  • MXNet
  • Caffe
  • Torch
  • Ray
  • Dask
  • Spark
  • Kubeflow
  • TensorBoard
  • JupyterLab
  • Kubernetes
  • Docker
  • GitHub
Independently observed
Still deciding?

Amazon SageMaker Experiments or Polyaxon: which one depends on you

A composite score cannot know your constraints. Describe them and both get re-weighted against what you actually need, with the evidence behind every position.

Free to run, no account needed to start. How the evaluation works

Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.