Amazon SageMaker Autopilot
6.9#5 in automl softwareFree planFree planWebAPI
VisitAmazon SageMaker Autopilot vs BigML
What both publish
| Fact | Amazon SageMaker Autopilot | BigML |
|---|---|---|
| API | The public Autopilot REST API includes CreateAutoMLJob, CreateAutoMLJobV2, DescribeAutoMLJob, DescribeAutoMLJobV2 and ListAutoMLJobs operations. | BigML exposes a REST API that covers most Dashboard functionality and authenticates requests with a username and API key over HTTPS. |
| Deployment | After training, users can deploy Autopilot models to real-time endpoints or run batch inference jobs. | Private deployments can run on a preferred cloud provider, ISP, or on-premises behind a corporate firewall, as managed or self-managed deployments. |
| Explainability | Autopilot generates feature-importance and model-performance reports, including confusion matrices and ROC or precision-recall visualizations where supported. | Models provide interactive visualizations, prediction explanations, field importances and partial-dependence plots. |
| Founded | 2006 | 2011 |
| Headquarters | Seattle, Washington, United States | BigML lists Corvallis, Oregon as headquarters and Valencia, Spain as its European headquarters. |
| Integrations | Reviewer evidence describes integrations with Amazon S3, IAM, CloudWatch and ECR, while AWS documents Studio and Canvas integration. | Official tools include Google Sheets, Zapier, Node-RED, Alexa, PredictServer and a native BigMLX macOS application. |
| Rating on Capterra | 4.7 out of 5 from 3 reviews. | 4.3 out of 5 from 3 reviews |
| Rating on G2 | 4.3 out of 5 from 57 reviews. | 4.7 out of 5 from 24 reviews |
Amazon SageMaker Autopilot plans
- On-demandPriced on request
- Savings PlansPriced on request
- Amazon SageMaker AI pay-as-you-goFree
- SageMaker AI Free TierFree
- On-demand SageMaker AI—
BigML plans
- FREEFree
- Basic BigML training$800, paid once
- BigML Lite$1,000 a month
- Extra Support$3,000 a month
- BigML Lite (annual)$10,000 a year
- Bronze Enterprise$45,000 a year
Pick Amazon SageMaker Autopilot if…
It suits users who want automated model building and comparison while retaining visibility into data preparation and training choices. It can serve prediction tasks such as price or churn prediction, risk assessment, and time series forecasting.
Pick BigML if…
BigML suits analysts, software developers, and scientists who need machine-learning tools, workflow automation, or model deployment options. Its API and language bindings may suit teams integrating models into software.