IBM Watson Studio vs BigML

IBM Watson Studio8.9Visit BigML7.6Visit

Higher score IBM Watson Studio #6 in Predictive Analytics Software 8.9/10 Free plan Free plan✓ 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

• IBM Watson Studio fits best

  Collaborative cloud data-science teams

• BigML fits best

  Teams wanting a flexible low-code predictive platform

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Side by side

Feature	IBM Watson Studio 8.9/10 Visit ↗	BigML 7.6/10 Visit ↗
At a glance
Editor score	8.9	7.6
Ranking	#6 in Predictive Analytics Software	#18 in Predictive Analytics Software
Best for	Collaborative cloud data-science teams	Teams wanting a flexible low-code predictive platform
Pricing model	Free plan + paid	Free plan + paid
Starting price	—	$10,000/yr
Free plan	✓	✓
Free trial	—	3 days
Deployment	Cloud, Self-hosted	Cloud, Self-hosted, Desktop
Platforms	Web	Web, macOS
Support	Docs, Community	Email, Live chat, Phone · 24/7
Integrations	6 integrations	15 integrations
Built for	Mid-market, Enterprise	Small business, Mid-market, Enterprise
Features IBM Watson Studio 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	Not checked yet	4
Our review
Pros	Combines notebooks, visual workflows and AutoAI in one platform Supports forecasting, evaluation, deployment and model monitoring Connects with cloud services, Apache services and on-premises databases	Free plan includes unlimited tasks and resources Supports forecasting, AutoML, evaluation, and explainability Cloud, on-premises, private-cloud, API, and self-hosted options
Cons	Lite is limited to 1 authorized user Lite includes a 10 capacity unit-hour monthly limit Professional compute is billed by capacity unit-hour	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	IBM Watson Studio is a collaborative data science and AI platform for data scientists, developers and analysts. It brings together notebook-based and open-source machine learning workflows, visual data science, SPSS Modeler workflows and… 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

• IBM Watson Studio — where it wins

  • Combines notebooks, visual workflows and AutoAI in one platform
  • Supports forecasting, evaluation, deployment and model monitoring
  • Connects with cloud services, Apache services and on-premises databases

  Where it doesn't

  • Lite is limited to 1 authorized user
  • Lite includes a 10 capacity unit-hour monthly limit
  • Professional compute is billed by capacity unit-hour

• 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

• IBM Watson Studio8.9/10 · Free plan

  A broad cloud data-science workspace with AutoAI, forecasting, deployment and governance.

  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 →