# Amazon SageMaker Experiments vs Valohai

| Attribute | Amazon SageMaker Experiments | Valohai |
|---|---|---|
| **vioscaleAI score** | 42.2 (55% (medium)) | 49.1 (26% (low)) |
| content.faq | `[{"answer":"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.","source":"https://aws.amazon.com/pricing/?nc2=h_pr_pr","question":"What is Amazon SageMaker Experiments?","confidence":0.6},{"answer":"Amazon SageMaker Experiments offers a free tier, so you can start without paying. Pricing changes often, so verify at source before relying on it.","source":"https://aws.amazon.com/pricing/?nc2=h_pr_pr","question":"Is Amazon SageMaker Experiments free?","confidence":0.6},{"answer":"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.","source":"https://aws.amazon.com/pricing/?nc2=h_pr_pr","question":"What platforms does Amazon SageMaker Experiments support?","confidence":0.6},{"answer":"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.","source":"https://aws.amazon.com/pricing/?nc2=h_pr_pr","question":"Can Amazon SageMaker Experiments be self-hosted?","confidence":0.6},{"answer":"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.","source":"https://aws.amazon.com/pricing/?nc2=h_pr_pr","question":"What does Amazon SageMaker Experiments integrate with?","confidence":0.6},{"answer":"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.","source":"https://aws.amazon.com/security/?nc1=f_cc","question":"What security certifications does Amazon SageMaker Experiments have?","confidence":0.7},{"answer":"Amazon SageMaker Experiments is available worldwide. Its primary market is the United States. The vendor is headquartered in the United States.","source":"https://aws.amazon.com/pricing/?nc2=h_pr_pr","question":"Where is Amazon SageMaker Experiments available?","confidence":0.75}]` | `[{"answer":"Valohai is an MLOps infrastructure platform that automates and tracks machine learning workflows, experiments, and model deployments. It provides unified cost and performance monitoring across any cloud, on-premises, or hybrid infrastructure, eliminating the complexity of managing ML infrastructure separately. It is indexed under Experiment Tracking.","source":"https://valohai.com/pricing/","question":"What is Valohai?","confidence":0.6},{"answer":"Valohai does not publish its prices. Pricing is quoted on request, so the figure depends on your seat count and requirements. We record this as a pricing-transparency signal rather than guessing a number. Pricing changes often, so verify at source before relying on it.","source":"https://valohai.com/pricing/","question":"How much does Valohai cost?","confidence":0.6},{"answer":"Valohai supports the web and a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.","source":"https://valohai.com/pricing/","question":"What platforms does Valohai support?","confidence":0.6},{"answer":"Yes. Valohai can be deployed cloud / SaaS and self-hosted, so it does not have to run on the vendor's infrastructure.","source":"https://valohai.com","question":"Can Valohai be self-hosted?","confidence":0.6},{"answer":"We have independently confirmed SOC 2 and GDPR for Valohai. Certifications we do not list are ones we have not been able to verify from public sources, which is not the same as Valohai not holding them. Always confirm compliance directly before you rely on it.","source":"https://valohai.com/security/","question":"What security certifications does Valohai have?","confidence":0.7},{"answer":"Valohai is available worldwide. The vendor is headquartered in Finland.","source":"https://valohai.com/pricing/","question":"Where is Valohai available?","confidence":0.75}]` |
| deployment.options | `{"cloud":true}` | `{"cloud":true,"self_hosted":true}` |
| description.long | 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. | Valohai is an MLOps infrastructure platform that automates and tracks machine learning workflows, experiments, and model deployments. It provides unified cost and performance monitoring across any cloud, on-premises, or hybrid infrastructure, eliminating the complexity of managing ML infrastructure separately. |
| features.capabilities | `{"rbac_governance":true,"run_comparison_diffing":true,"metrics_and_artifact_logging":true,"team_collaboration_workspaces":true}` | - |
| integrations.count | 9 | - |
| integrations.list | `[{"name":"Apache Spark"},{"name":"Apache Flink"},{"name":"Trino"},{"name":"Apache Airflow"},{"name":"Amazon S3"},{"name":"Amazon Redshift"},{"name":"Amazon EMR"},{"name":"Amazon EKS"},{"name":"Amazon MWAA"},{"name":"Amazon SageMaker Studio","native":true,"category":"platform","direction":"bidirectional"},{"name":"Amazon Q Developer","native":true,"category":"ai_assistant","direction":"bidirectional"},{"name":"AWS Glue","native":true,"category":"data_processing","direction":"bidirectional"}]` | - |
| market.availability | `{"primaryMarkets":[],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` | `{"hqCountry":"FI","primaryMarkets":[],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` |
| platform.support | `{"cli":true,"web":true}` | `{"cli":true,"web":true}` |
| pricing | `{"type":"usage","summary":"Pay-as-you-go pricing; 1 or 3-year Savings Plans available for compute services","currency":"USD","freeTier":true,"sourceUrl":"https://aws.amazon.com/pricing/?nc2=h_pr_pr","retrievedAt":"2026-08-19T09:08:39.241Z","billingPeriods":["month"]}` | `{"type":"quote","freeTier":false,"sourceUrl":"https://valohai.com/pricing/","retrievedAt":"2026-08-19T09:08:16.306Z","freeTrialDays":14,"billingPeriods":["month"]}` |
| pricing.free_tier | yes | no |
| pricing.model | freemium | quote |
| pricing.price_level | low | unknown |
| pricing.transparent | no | yes |
| security.certifications | `[{"name":"GDPR","status":"active"},{"name":"HIPAA/HITECH","status":"active"},{"name":"PCI-DSS","status":"active"},{"name":"FedRAMP","status":"active"}]` | - |
| security.fedramp | yes | - |
| security.gdpr | yes | yes |
| security.hipaa | yes | - |
| security.pci | yes | - |
| security.soc2 | - | yes |
| security.trust_center | https://aws.amazon.com/compliance/?nc2=h_dsc_aa_cmp | - |

## Capabilities (Experiment Tracking)

| Capability | Amazon SageMaker Experiments | Valohai |
|---|:--:|:--:|
| **Capabilities** |  |  |
| 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 | - | - |

*Source: vioscaleAI. Generated 2026-10-16T20:59:23.900Z. "-" = undocumented, not absent.*