Amazon SageMaker Autopilot vs BigML

Amazon SageMaker Autopilot7.5Visit BigML6.7Visit

Higher score Amazon SageMaker Autopilot #4 in AutoML Software 7.5/10 Paid ✓ 3 of 3 features Visit AWS

vs

BigML #8 in AutoML Software 6.7/10 Free plan · paid from $1,000/mo · 3-day trial Free plan✓ 0 of 3 features Visit BigML

• Amazon SageMaker Autopilot fits best

  AWS users needing managed AutoML execution

• BigML fits best

  Teams wanting priced, API-first AutoML

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Side by side

Feature	Amazon SageMaker Autopilot 7.5/10 Visit ↗	BigML 6.7/10 Visit ↗
At a glance
Editor score	7.5	6.7
Ranking	#4 in AutoML Software	#8 in AutoML Software
Best for	AWS users needing managed AutoML execution	Teams wanting priced, API-first AutoML
Pricing model	Paid	Free plan + paid
Starting price	Not published	$1,000/mo
Free plan	—	✓ (best)
Free trial	—	—
Deployment	Cloud	Cloud, Self-hosted, Desktop
Platforms	Web	Web, macOS
Support	Docs, Live chat, Email, Phone, Tickets	Email, Live chat, Phone · 24/7
Compliance	ISO 27001	2FA
Built for	Small business, Mid-market, Enterprise	Small business, Mid-market, Enterprise
Features Amazon SageMaker Autopilot 3/3 · BigML 0/3
Feature engineering	✓ (best)	Not published
Automated model selection	✓ (best)	Not published
Model explainability	✓ (best)	Not published
Specs
Deployment options	Real_time	Not published
Workflow interface	Both	Not published
Hosting model	Vendor_cloud	Not published
Our review
Pros	Automates preparation, feature engineering, selection, tuning, and evaluation Generates rankings, explainability reports, and notebooks for candidate models Deploys trained models through real-time API endpoints	OptiML automates model selection and parameter optimization. Supports forecasting, evaluation metrics, explainability, and interactive visualizations. Offers REST APIs, language bindings, and cloud or private deployment.
Cons	No perpetual free plan Documented access is limited to AWS web, API, and SDK workflows Usage-based pricing can require planning for consistent workloads	The paid entry tier costs $1,000 per month. The free plan limits each task to a 16 MB dataset. BigML Lite is limited to 5 users and 1 organization.
Our verdict	Amazon SageMaker Autopilot is an AutoML capability within Amazon SageMaker AI for data scientists, developers, analysts, and organizations building machine-learning models on AWS. It automates data analysis, preprocessing, missing-value… Read the review →	BigML is a machine learning platform for analysts, developers, data scientists, and organizations that need predictive modeling and automated workflows. It supports classification, regression, time-series forecasting, clustering, anomaly… Read the review →

Strengths and trade-offs

• Amazon SageMaker Autopilot — where it wins

  • Automates preparation, feature engineering, selection, tuning, and evaluation
  • Generates rankings, explainability reports, and notebooks for candidate models
  • Deploys trained models through real-time API endpoints

  Where it doesn't

  • No perpetual free plan
  • Documented access is limited to AWS web, API, and SDK workflows
  • Usage-based pricing can require planning for consistent workloads

• BigML — where it wins

  • OptiML automates model selection and parameter optimization.
  • Supports forecasting, evaluation metrics, explainability, and interactive visualizations.
  • Offers REST APIs, language bindings, and cloud or private deployment.

  Where it doesn't

  • The paid entry tier costs $1,000 per month.
  • The free plan limits each task to a 16 MB dataset.
  • BigML Lite is limited to 5 users and 1 organization.

• Amazon SageMaker Autopilot7.5/10 · Paid

  A broad, AWS-native AutoML workflow with usage-based pricing and vendor-cloud limits.

  Visit AWSFull verdict →
• BigML6.7/10 · Free plan · paid from $1,000/mo · 3-day trial

  API-first AutoML with forecasting, explainability, automation, and flexible deployment options.

  Visit BigMLFull verdict →