# Amazon SageMaker Ground Truth vs Encord

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

| Attribute | Amazon SageMaker Ground Truth | Encord |
|---|---|---|
| **Vioscale score** | 54.5 (54% (medium)) | 23.9 (30% (low)) |
| deployment.options | `{"cloud":true}` | `{"cloud":true,"on_prem":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 enables teams to organize, annotate, and curate training data across multiple formats including images, video, audio, and 3D data, with built-in quality controls and production-scale workflows. |
| features.capabilities | `{"open_source":false,"on_prem_private_cloud":false,"model_assisted_labeling":true}` | - |
| integrations.count | 15 | 3 |
| 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":"AWS S3"},{"name":"Azure Data Lake Storage"},{"name":"Google Cloud Storage"}]` |
| market.availability | `{"hqCountry":"US","primaryMarkets":["US"],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` | `{"primaryMarkets":["US","EU"],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` |
| platform.support | `{"cli":true,"web":true}` | `{"cli":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":"quote","plans":[{"free":false,"name":"Starter","features":["Image & video annotation toolkit","Complex & dynamic ontologies","Customizable workflows","Self-serve support","Multi-factor authentication","Cloud, VPC, on-prem deployments","ECG, 3D, LiDAR & point cloud annotation","LLM evaluations","Quality control & consensus workflows","Annotator training & performance dashboard","Outlier and image duplication detection","Custom metadata & schema","Label validation and exploration","Email support"],"contactSales":true,"includedLimits":{"data_volume":"500k"}},{"free":false,"name":"Team","features":["Everything in Starter, plus:","Data agents","Performance analytics","Model evaluation","Onboarding support","Advanced analytics","Pre-computed embeddings","Model analytics, comparison & custom metrics","Dataset balancing","Acquisition functions"],"contactSales":true,"includedLimits":{"data_volume":"1m"}},{"free":false,"name":"Enterprise","features":["Everything in Team, plus:","Multiple workspaces","Single sign-on (SSO)","Enterprise SLA & support","VPC & on-prem deployments"],"contactSales":true,"includedLimits":{"data_volume":"10m"}}],"addOns":[{"name":"Custom embeddings"},{"name":"Custom quality metrics"},{"name":"Custom acquisition functions"}],"summary":"Quote-based pricing. Three tiers with data volume limits: Starter (500k), Team (1m), Enterprise (10m).","freeTier":false,"sourceUrl":"https://encord.com/pricing/","retrievedAt":"2026-08-18T21:41:43.008Z"}` |
| pricing.free_tier | yes | no |
| pricing.model | freemium | quote |
| pricing.price_level | low | unknown |
| pricing.transparent | yes | no |
| security.disclosure_policy | yes | - |
| security.fedramp | yes | - |
| security.gdpr | yes | yes |
| security.hipaa | yes | yes |
| security.pci | yes | - |
| security.soc2 | - | yes |

## Capabilities (Data Labeling)

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

*Source: Vioscale. Generated 2026-09-01T15:20:08.810Z. "-" = undocumented, not absent.*