# Amazon SageMaker Ground Truth vs SuperAnnotate

**Leader by Vioscale score:** Amazon SageMaker Ground Truth

| Attribute | Amazon SageMaker Ground Truth | SuperAnnotate |
|---|---|---|
| **Vioscale score** | 54.5 (54% (medium)) | 28.7 (30% (low)) |
| deployment.options | `{"cloud":true}` | `{"cloud":true}` |
| description.long | A machine learning service that enables organizations to improve generative AI model performance by incorporating human feedback throughout the model lifecycle. It helps transform generic AI models into production-ready solutions optimized for specific business requirements through collaborative fine-tuning, testing, and expert support. | A platform that combines AI-powered annotation tools, data management capabilities, and human expertise to help ML teams produce accurate training datasets. Supports multimodal data (text, image, video, audio) with workflow automation, quality assurance, and project management features. |
| features.capabilities | `{"open_source":false,"on_prem_private_cloud":false,"model_assisted_labeling":true}` | - |
| integrations.count | 15 | 2 |
| integrations.list | `[{"name":"Amazon S3"},{"name":"Amazon Redshift"},{"name":"AWS Glue"},{"name":"Amazon Athena"},{"name":"Amazon EMR"},{"name":"Amazon MWAA"},{"name":"JupyterLab"},{"name":"Amazon Bedrock"},{"name":"SageMaker Pipelines"},{"name":"SageMaker Model Monitor"},{"name":"SageMaker Feature Store"},{"name":"SageMaker Data Wrangler"},{"name":"Amazon Q"},{"name":"CloudWatch"},{"name":"CloudTrail"}]` | `[{"name":"Databricks"},{"name":"Meta AI Segment Anything Model"}]` |
| market.availability | `{"hqCountry":"US","primaryMarkets":["US"],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` | `{"hqCountry":"US","primaryMarkets":["US"],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` |
| platform.support | `{"cli":true,"web":true}` | `{"web":true}` |
| pricing | `{"type":"usage","plans":[{"free":true,"name":"SageMaker AI - Pay-as-you-go","summary":"Pay-as-you-go with no upfront commitments. Charges based on compute, storage, and data processing usage.","features":["Instance usage for training and hosting","Storage (EBS volumes, S3)","Data processing jobs","Model deployment","MLOps via SageMaker Pipelines and Model Monitor"],"description":"Usage-based pricing for compute, storage, data processing, and model operations","contactSales":false,"includedLimits":{"free_monthly":"AWS Free Tier for SageMaker notebooks, API requests, and metadata storage"}},{"free":false,"name":"Amazon Q Developer","summary":"Fixed cost per user per month","features":["Code generation and testing","Security scanning","Resource optimization","Data integration support","Natural language query support"],"minSeats":1,"commitment":"monthly","description":"Fixed monthly cost for AI-assisted development and analysis features","contactSales":false},{"free":true,"name":"SageMaker Catalog","summary":"$0.4/GB metadata storage, $10 per 100k API requests, $1.776 per compute unit (beyond free tier)","features":["Metadata storage and management","API requests for data access","Automatic asset ingestion from data sources","Scheduled synchronization","AI-generated business descriptions"],"components":[{"per":{"qty":1,"unit":"GB_metadata"},"kind":"metered","amount":0.4,"period":"month","currency":"USD"},{"per":{"qty":100000,"unit":"requests"},"kind":"metered","amount":10,"period":"month","currency":"USD"},{"per":{"qty":1,"unit":"compute_unit"},"kind":"metered","amount":1.776,"period":"month","currency":"USD"}],"description":"Pay-as-you-go for metadata management, data discovery, and asset ingestion","contactSales":false,"includedLimits":{"api_requests":"4,000 free per month","compute_units":"0.2 free per month","metadata_storage":"20 MB free per month"}}],"summary":"Pay-as-you-go model with no minimum commitment or upfront fees. Free tier included for most components. Amazon Q Developer charged at fixed rate per user/month. SageMaker Catalog charges per GB, API requests, and compute units after free allotment.","currency":"USD","freeTier":true,"sourceUrl":"https://aws.amazon.com/sagemaker/pricing/?nc2=h_pr_sgm","retrievedAt":"2026-08-21T11:11:08.213Z","billingPeriods":["month"]}` | `{"type":"hybrid","plans":[{"free":false,"name":"Starter","features":["Image, video, text, and audio editors","Data curation and exploration","Analytics and insights","Team and project management","Platform onboarding"],"description":"For image, video, text, and audio editors; data curation and exploration; analytics","contactSales":false,"includedLimits":{"compute_hours":"1000/month"}},{"free":false,"name":"Enterprise","features":["Fully customizable multimodal editor","Advanced analytics and insights","Dedicated solutions engineer","AI DataOps consulting","SSO","Dedicated Slack channel","Dedicated customer success manager"],"description":"For high-volume AI projects with advanced capabilities","contactSales":true,"includedLimits":{"compute_hours":"10000/month"}}],"summary":"Contact sales for pricing details","currency":"USD","freeTier":false,"sourceUrl":"https://www.superannotate.com/pricing","retrievedAt":"2026-08-20T14:06:44.395Z"}` |
| pricing.free_tier | yes | no |
| pricing.model | freemium | commercial |
| pricing.price_level | low | unknown |
| pricing.transparent | yes | no |
| security.disclosure_policy | yes | - |
| security.fedramp | yes | - |
| security.gdpr | yes | yes |
| security.hipaa | yes | - |
| security.iso27001 | - | yes |
| security.pci | yes | - |
| security.soc2 | - | yes |

## Capabilities (Data Labeling)

| Capability | Amazon SageMaker Ground Truth | SuperAnnotate |
|---|:--:|:--:|
| **Capabilities** |  |  |
| Model assisted labeling | ✓ | - |
| Programmatic labeling | - | - |
| Rlhf preference data | - | - |
| On prem private cloud | ✗ | - |
| Open source | ✗ | - |
| SOC2 | - | - |

*Source: Vioscale. Generated 2026-09-01T17:03:43.314Z. "-" = undocumented, not absent.*