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Head-to-head · Predictive Analytics Software

Azure Machine Learning vs BigML

  • Updated Oct 2026
  • Both researched from official sources
  • 7 checks side by side
Higher score Azure Machine Learning #3 in Predictive Analytics Software 9.0/10 Paid ✓ 5 of 5 features Visit Azure ML
BigML #18 in Predictive Analytics Software 7.6/10 Free plan · 3-day trial Free planFree trial✓ 5 of 5 features Visit BigML

Azure Machine Learning leads on 0 checks, BigML on 2, and 5 are even. Who comes out ahead on the 7 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreAzure Machine Learning · 9.0/10
  • Free planonly BigML
  • Free trialonly BigML

Azure Machine Learning scores higher on our rubric for predictive analytics software: 9.0 against 7.6 out of 10; our editors rank them #3 and #18.

BigML offers free plan; Azure Machine Learning doesn't. On deployment mode, Azure Machine Learning gives you Batch_and_real-time where BigML offers Real-time. BigML leads on data connectors: 4 versus 3.

Azure Machine Learning is the better fit for azure users building managed ML pipelines. BigML is the better fit for teams wanting a flexible low-code predictive platform.

  • Azure Machine Learning fits best

    Azure users building managed ML pipelines

  • BigML fits best

    Teams wanting a flexible low-code predictive platform

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

Side by side

Feature Azure Machine Learning 9.0/10 Visit ↗ BigML 7.6/10 Visit ↗
At a glance
Editor score 9.0 7.6
Ranking #3 in Predictive Analytics Software #18 in Predictive Analytics Software
Best for Azure users building managed ML pipelines Teams wanting a flexible low-code predictive platform
Pricing model Paid Free plan + paid
Starting price — $10,000/yr
Free plan — ✓ (best)
Free trial — 3 days
Deployment Cloud Cloud, Self-hosted, Desktop
Platforms Web Web, macOS
Support Docs Email, Live chat, Phone · 24/7
Integrations 6 integrations 15 integrations
Built for Mid-market, Enterprise Small business, Mid-market, Enterprise
Features Azure Machine Learning 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 3 4 (best)
Our review
Pros
  • Automated ML, forecasting, evaluation, and time-series inference
  • Supports reusable pipelines, batch endpoints, and real-time HTTPS endpoints
  • MLOps features cover monitoring, retraining, and redeployment
  • Free plan includes unlimited tasks and resources
  • Supports forecasting, AutoML, evaluation, and explainability
  • Cloud, on-premises, private-cloud, API, and self-hosted options
Cons
  • Compute and other consumed Azure resources are billed separately
  • Verified integrations are concentrated across the Azure ecosystem
  • Snowflake and Amazon S3 preview connections are scheduled for retirement
  • 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

Azure Machine Learning is a cloud service for data scientists, machine-learning professionals, and engineers managing the model lifecycle. It covers model development, automated machine learning, training jobs, reusable pipelines,…

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 →
  1. Azure Machine LearningPredictive Analytics Software 9.0Paid
  2. BigMLPredictive Analytics Software 7.6Free plan · 3-day trial

Strengths and trade-offs

  • Azure Machine Learning — where it wins

    • Automated ML, forecasting, evaluation, and time-series inference
    • Supports reusable pipelines, batch endpoints, and real-time HTTPS endpoints
    • MLOps features cover monitoring, retraining, and redeployment

    Where it doesn't

    • Compute and other consumed Azure resources are billed separately
    • Verified integrations are concentrated across the Azure ecosystem
    • Snowflake and Amazon S3 preview connections are scheduled for retirement

  • 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
  • Azure Machine Learning9.0/10 · Paid

    A broad managed ML lifecycle service, particularly suited to teams already working in Azure.

    Visit Azure MLFull 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 →

More comparisons

All predictive analytics software comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update