Amazon SageMaker Canvas vs BigML

Amazon SageMaker Canvas9.0Visit BigML7.6Visit

Higher score Amazon SageMaker Canvas #4 in Predictive Analytics Software 9.0/10 Paid ✓ 5 of 5 features Visit site

vs

BigML #18 in Predictive Analytics Software 7.6/10 Free plan · 3-day trial Free planFree trial✓ 5 of 5 features Visit BigML

• Amazon SageMaker Canvas fits best

  AWS-centric no-code predictive modeling

• BigML fits best

  Teams wanting a flexible low-code predictive platform

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Side by side

Feature	Amazon SageMaker Canvas 9.0/10 Visit ↗	BigML 7.6/10 Visit ↗
At a glance
Editor score	9.0	7.6
Ranking	#4 in Predictive Analytics Software	#18 in Predictive Analytics Software
Best for	AWS-centric no-code predictive modeling	Teams wanting a flexible low-code predictive platform
Pricing model	Paid	Free plan + paid
Starting price	$1.90/unit usage-based	$10,000/yr
Free plan	—	✓ (best)
Free trial	—	3 days
Deployment	Cloud	Cloud, Self-hosted, Desktop
Platforms	Web	Web, macOS
Support	Tickets, Community, Docs	Email, Live chat, Phone · 24/7
Compliance	SOC 2, ISO 27001, PCI DSS	2FA
Integrations	50+ integrations	15 integrations
Built for	Mid-market, Enterprise	Small business, Mid-market, Enterprise
Features Amazon SageMaker Canvas 5/5 · BigML 5/5
Forecasting workflows	✓	✓
Model evaluation	✓	✓
Automated machine learning	✓	✓
Time-series modeling	✓	✓
API access	✓	✓
Specs
Deployment mode	Batch_and_real-time	Real-time
Data connectors	50 (best)	4
Our review
Pros	Automates model building, evaluation, forecasting, and candidate comparison Supports batch predictions, scheduled runs, and real-time endpoints Connects with AWS services plus Snowflake, Databricks, and Salesforce Data Cloud	Free plan includes unlimited tasks and resources Supports forecasting, AutoML, evaluation, and explainability Cloud, on-premises, private-cloud, API, and self-hosted options
Cons	Usage-based pricing can be harder to forecast than fixed plans Additional charges apply for processing, training, inference, and AWS services Designed around AWS, which may limit fit for non-AWS-centric teams	Paid entry starts at $1,000 per month Free tasks are limited to 16 MB datasets and two parallel tasks BigML Lite is limited to five users and one organization
Our verdict	Amazon SageMaker Canvas is a managed visual machine-learning application for business analysts and other users who need to build predictive models without writing code. It combines visual data preparation, automated model building,… Read the review →	BigML is a cloud and deployable machine learning platform for analysts, developers, scientists, and organizations. It covers classification, regression, time-series forecasting, clustering, anomaly detection, association discovery, topic… Read the review →

Strengths and trade-offs

• Amazon SageMaker Canvas — where it wins

  • Automates model building, evaluation, forecasting, and candidate comparison
  • Supports batch predictions, scheduled runs, and real-time endpoints
  • Connects with AWS services plus Snowflake, Databricks, and Salesforce Data Cloud

  Where it doesn't

  • Usage-based pricing can be harder to forecast than fixed plans
  • Additional charges apply for processing, training, inference, and AWS services
  • Designed around AWS, which may limit fit for non-AWS-centric teams

• BigML — where it wins

  • Free plan includes unlimited tasks and resources
  • Supports forecasting, AutoML, evaluation, and explainability
  • Cloud, on-premises, private-cloud, API, and self-hosted options

  Where it doesn't

  • Paid entry starts at $1,000 per month
  • Free tasks are limited to 16 MB datasets and two parallel tasks
  • BigML Lite is limited to five users and one organization

• Amazon SageMaker Canvas9.0/10 · Paid

  A capable no-code predictive modeling workspace for AWS-centered teams.

  Visit siteFull verdict →
• BigML7.6/10 · Free plan · 3-day trial

  A flexible low-code predictive platform with broad modeling, automation, and deployment options.

  Visit BigMLFull verdict →