Amazon SageMaker Autopilot vs BigML
Amazon SageMaker Autopilot
aws.amazon.comBigML
bigml.comSide by side
| Figure | Amazon SageMaker Autopilot | BigML |
|---|---|---|
| Price from | Free | $833.33/mo |
| Free plan | Yes | Yes |
| Free trial | Yes | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| macOS | — | Yes |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 5 | 7 |
| Spec score · AutoML Software | 8.7 (#3) | 9.1 (#1) |
| 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 | 2024 | 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 |
| Rating on Gartner Peer Insights | 4.3 out of 5 from 41 ratings. | 4.8 out of 5 from 6 ratings |
| SDKs | AWS documents programmatic use through Boto3 and the AutoMLV2 object in the Amazon SageMaker Python SDK. | Open-source bindings are offered for Python, Node.js, Clojure, Java, PHP, C#, Swift and Objective-C. |
| Security | AWS describes its cloud security approach as combining security of the cloud infrastructure with security in the cloud through customer controls. | BigML states that connections use HTTPS, resources are private by default, and staff cannot access customer data without explicit consent. |
| Support | AWS provides support plans with proactive guidance, issue resolution, and tools. | BigML Lite includes standard 8x5 email and chat support with a 48-hour maximum response time; Enterprise lists customized email and chat with a 24-hour maximum response time. |
| What it does | Amazon SageMaker Autopilot automates data inspection, preprocessing, feature engineering, algorithm selection, model training, tuning, evaluation and ranking for machine-learning projects. | BigML provides cloud and deployable machine-learning workflows for classification, regression, forecasting, clustering, anomaly detection, association discovery and topic modeling. |
Plans
Amazon SageMaker Autopilot
- On-demandPriced on request
- Savings PlansPriced on request
- Amazon SageMaker AI pay-as-you-goFree
- SageMaker AI Free TierFree
- On-demand SageMaker AIPrice not published
BigML
- FREEFree
- Basic BigML training$800, paid once
- BigML Lite$1,000 a month
- Extra Support$3,000 a month
- BigML Lite$10,000 a year
- BigML Lite (annual)$10,000 a year
- Bronze Enterprise$45,000 a year
In their own words
Amazon SageMaker Autopilot
Amazon SageMaker Autopilot has no write-up on Specifiction yet; its figures are above.
BigML
BigML is a machine-learning platform for classification, regression, forecasting, clustering, anomaly detection, association discovery, and topic modeling. It provides interactive model visualizations, prediction explanations, and field-importance views. Models can be exported in JSON PML or PMML formats for use in programming languages and web, mobile, or IoT applications. OptiML helps select and tune models; WhizzML automates workflows, and Scriptify turns workflows into reusable scripts. Users can work through the REST API and language bindings including Python, Node.js, Ruby, Java, and Swift. Listed integrations include Node-RED, Google Sheets, Zapier, Alexa, Docker, and macOS. BigML runs on web, macOS, API, and self-hosted platforms, with private deployments available on a cloud provider, ISP, or on-premises. The free plan is $0/month and includes up to 60 tasks, a 16 MB per-task dataset limit, and two parallel tasks. Paid plans start at $1,000/month; a three-day trial is available.