Amazon SageMaker Experiments
A unified platform for organizing, tracking, and comparing machine learning experiments and model training runs
- Vendor
- Amazon Web Services, Inc.
- Also known as
- amazon-sagemaker-experiments
Available worldwide
What is 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.
Amazon SageMaker Experiments pricing
We don't have Amazon SageMaker Experiments's full plan breakdown yet (its pricing page resisted automated reading). Here's what we could confirm. Always check live pricing for exact numbers.
Pay-as-you-go pricing; 1 or 3-year Savings Plans available for compute services
What Amazon SageMaker Experiments does
The capabilities that matter for experiment tracking, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.
- Deployment model
- -
- Open source
- -
- Metrics and artifact logging
- ✓
- Native hyperparameter sweeps
- -
- Run comparison diffing
- ✓
- Model registry bundled
- -
- Data versioning integration
- -
- Distributed multi node tracking
- -
- Team collaboration workspaces
- ✓
- LLM genai eval tracking
- -
- RBAC governance
- ✓
- SOC2
- -
- Pricing model
- -
Platform & deployment
Independently observed- CLI
- Web
- Cloud / SaaS
Integrations (12)
Independently observed- Amazon SageMaker Studio⇄•
- Amazon Q Developer⇄•
- AWS Glue⇄•
- Apache Spark
- Apache Flink
- Trino
- Apache Airflow
- Amazon S3
- Amazon Redshift
- Amazon EMR
- Amazon EKS
- Amazon MWAA
Security & compliance
Independently observed- GDPRactive
- HIPAA/HITECHactive
- PCI-DSSactive
- FedRAMPactive
Amazon SageMaker Experiments FAQ
Common questions about Amazon SageMaker Experiments, answered from independent, dated evidence.
What is Amazon SageMaker Experiments?
An integrated machine learning service that combines data discovery, model development, generative AI capabilities, and analytics in a fully managed cloud environment. Provides serverless notebooks, data processing, and model deployment infrastructure. It is indexed under Experiment Tracking.
Is Amazon SageMaker Experiments free?
Amazon SageMaker Experiments offers a free tier, so you can start without paying. Pricing changes often, so verify at source before relying on it.
What platforms does Amazon SageMaker Experiments support?
Amazon SageMaker Experiments supports the web and a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.
Can Amazon SageMaker Experiments be self-hosted?
Not fully, on what we have confirmed. Amazon SageMaker Experiments is offered as cloud / SaaS and hybrid, and a hybrid deployment usually means some components can run on your own infrastructure while the rest stays vendor-hosted. We have not confirmed a completely self-hosted option, so check with the vendor if that is a requirement.
What does Amazon SageMaker Experiments integrate with?
We have confirmed 9 integrations for Amazon SageMaker Experiments, including Apache Spark, Apache Flink, Trino, Apache Airflow, Amazon S3, Amazon Redshift, Amazon EMR and Amazon EKS, plus 1 more. This is what we could verify from public sources, so the vendor may support others we have not indexed.
What security certifications does Amazon SageMaker Experiments have?
We have independently confirmed HIPAA and GDPR for Amazon SageMaker Experiments. Certifications we do not list are ones we have not been able to verify from public sources, which is not the same as Amazon SageMaker Experiments not holding them. Always confirm compliance directly before you rely on it.
Where is Amazon SageMaker Experiments available?
Amazon SageMaker Experiments is available worldwide. Its primary market is the United States. The vendor is headquartered in the United States.
Amazon SageMaker Experiments alternatives
Other experiment tracking we track, ranked by the same independent score.
- PolyaxonKubernetes-native AI orchestration platform for running and managing machine learning workloads on your own infrastructurelow · 26%
- Guild AIA unified platform for discovering, monitoring, and governing AI agents across your entire organizationmedium · 52%
- CometOpen-source platform for tracing, evaluating, and monitoring large language model applications and AI agentslow · 5%
- DVCLiveA command-line tool for versioning data and machine learning experiments alongside Git repositorieslow · 5%
- Valohailow · 26%
Compare Amazon SageMaker Experiments
Side by side against other experiment tracking, attribute by attribute, with a source on every value.
The vioscaleAI score: one lens on the evidence
Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for Amazon SageMaker Experiments, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Security posture | 30 | 0.12 | 3.7 | ✓ |
| Price level | 80 | 0.04 | 3.3 | ✓ |
| Capabilities | 67 | 0.04 | 2.5 | ✓ |
| Pricing transparency | 25 | 0.05 | 1.4 | ✓ |
| Integrations | 29 | 0.04 | 1.3 | ✓ |
| Reliability | 0 | 0.07 | 0.0 | - |
Computed . Re-weight it by intent, or see the full method.
All data & sourcesshow ↓
Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.
Content
| Attribute | Value | Evidence |
|---|---|---|
| Faq | 7 items | mediumsource · 2026-09-10 · 64% |
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | Rbac governance, Run comparison diffing, Metrics and artifact logging, Team collaboration workspaces | mediumsource · 2026-10-13 · 60% |
Integrations
| Attribute | Value | Evidence |
|---|---|---|
| Count | 9 | mediumsource · 2026-08-19 · 60% |
Market
| Attribute | Value | Evidence |
|---|---|---|
| Availability | PrimaryMarkets: … · AvailabilityScope: global · AvailableCountries: … · NotAvailableCountries: … | highsource · 2026-10-13 · 75% |
Pricing
Security
| Attribute | Value | Evidence |
|---|---|---|
| Pci | Yes | highsource · 2026-10-13 · 75% |
| Fedramp | Yes | highsource · 2026-10-13 · 75% |
| Gdpr | Yes | highsource · 2026-10-13 · 75% |
| Hipaa | Yes | highsource · 2026-10-13 · 75% |
| Certifications | GDPR, HIPAA/HITECH, PCI-DSS, FedRAMP | mediumsource · 2026-10-13 · 60% |
| Trust center | https://aws.amazon.com/compliance/?nc2=h_dsc_aa_cmp | mediumsource · 2026-10-13 · 60% |
Is Amazon SageMaker Experiments the right choice for you?
Tell us the job, the constraints and what you weigh most, and we will rank Amazon SageMaker Experiments against the rest of the experiment tracking we index, using the same dated evidence weighted your way.
Free to run, no account needed to start. How the evaluation works
Is this your product?
This profile was built from public sources without asking you. You can take the badge below and use it anywhere, and you can claim the profile to correct anything we got wrong. Both are free, and neither moves Amazon SageMaker Experiments up or down: nobody can buy rank here, including you.
Take the badge
Live, always current, and free to use on your own site. It shows Amazon SageMaker Experiments's independent score and links back to this profile.
<a href="https://www.vioscale.ai/software/amazon-sagemaker-experiments" target="_blank" rel="noopener">
<img src="https://www.vioscale.ai/badge/software/amazon-sagemaker-experiments.svg" alt="Amazon SageMaker Experiments, verified on vioscaleAI" width="330" height="76" loading="lazy" />
</a>Markdown, for a README →
[](https://www.vioscale.ai/software/amazon-sagemaker-experiments)Claim the profile
Verify you control the domain, then point us at the pages that state the facts about Amazon SageMaker Experiments and add your own description and media. Free, and it does not change the score.
- Correct anything wrong, with evidence
- Point our crawler at the pages that matter
- Write your own description and add media
Not the owner? How vendor profiles work