Comparison

Amazon SageMaker Experiments vs DVCLive

No leader: the top candidate DVCLive has only 0.05 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.

Machine formatsMarkdownJSONGraphQLMarkdown is open. JSON and GraphQL need a free key.
Amazon SageMaker Experiments42
DVCLive51
Score
vioscaleAI score
Amazon SageMaker Experiments42 / 100medium · 55%
DVCLive51 / 100low · 5%
Pricing
Free tier
Amazon SageMaker Experiments✓
DVCLive–
Model
Amazon SageMaker Experimentsfreemium
Price level
Amazon SageMaker Experimentslow
DVCLivefree
Transparent
Amazon SageMaker Experiments✗
DVCLive–
Integrations
Count
Amazon SageMaker Experiments9
DVCLive6
Security
Certifications
Amazon SageMaker ExperimentsGDPR, HIPAA/HITECH, PCI-DSS, FedRAMP
DVCLive–
Fedramp
Amazon SageMaker Experiments✓
DVCLive–
Gdpr
Amazon SageMaker Experiments✓
DVCLive–
Hipaa
Amazon SageMaker Experiments✓
DVCLive–
Pci
Amazon SageMaker Experiments✓
DVCLive–
Market
Availability
Amazon SageMaker ExperimentsAvailable worldwide
Content
Faq
Amazon SageMaker Experiments7 items
DVCLive5 items

Capabilities

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

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

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

DVCLive

Track and version data artifacts, models, and ML experiments while keeping version metadata in Git. Create reproducible pipelines, run and compare experiments, and store data across multiple cloud platforms.

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 ↗

DVCLive

Open source
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✓
DVCLive✗
macOS
Amazon SageMaker Experiments✗
DVCLive✓
Windows
Amazon SageMaker Experiments✗
DVCLive✓
Linux
Amazon SageMaker Experiments✗
DVCLive✓
CLI
Amazon SageMaker Experiments✓
DVCLive✓
Deployment
Cloud / SaaS
Amazon SageMaker Experiments✓
DVCLive✓
Self-hosted
Amazon SageMaker Experiments✗
DVCLive✓

Integrations

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

In common (1)
  • Amazon S3

Amazon SageMaker Experiments

12 total - 11 not shared
  • Apache Spark
  • Apache Flink
  • Trino
  • Apache Airflow
  • Amazon Redshift
  • Amazon EMR
  • Amazon EKS
  • Amazon MWAA
  • Amazon SageMaker Studio
  • Amazon Q Developer
  • AWS Glue
Independently observed

DVCLive

13 total - 12 not shared
  • Hydra
  • GitHub
  • AWS S3
  • Microsoft Azure
  • Google Cloud
  • Google Drive
  • Alibaba Cloud OSS
  • GitLab
  • Azure
  • Google Cloud Storage
  • Alibaba OSS
  • SSH
Independently observed
Still deciding?

Amazon SageMaker Experiments or DVCLive: 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.