BigML

A consumable, programmable, and scalable machine learning platform for classification, regression, forecasting, clustering, anomaly

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Overview

BigML offers a comprehensive machine learning platform that enables users to build, automate, and deploy predictive models through an intuitive web interface and REST API. It supports a wide range of algorithms and provides features for collaboration, automation, and flexible deployment options.

Updated Sep 25, 2026.

Key Features

Pros

Wide range of machine learning algorithms covering supervised and unsupervised tasks.
User-friendly web interface combined with a powerful REST API and language bindings.
Strong collaboration features with granular access control for organizations and projects.
Automation tools for model optimization and workflow scripting reduce manual effort.
Flexible deployment options including cloud, private cloud, and on-premises setups.

Cons

Pricing for enterprise and private deployments can be expensive for smaller organizations.
Dataset size limits on free and basic plans may restrict use with very large data.
Requires some programming knowledge to fully leverage API and automation features.
Learning curve for advanced features like WhizzML and OptiML may be steep for beginners.

Pricing

BigML pricing plans
Plan	Price	Highlights
Free	$0 monthly	Up to 60 tasks 16 MB max dataset size per task 2 parallel tasks Basic support
Prime	Contact Sales	Unlimited tasks Larger dataset sizes More parallel tasks Access to Organizations for collaboration Priority job queues and server topology
BigML Lite	$10,000/year	1 server (8 cores) 5 users 1 organization Standard theme Standard 8x5 email and chat support
BigML Bronze Enterprise	$45,000/year + $10,000 setup fee	Up to 1 server / 8 cores Unlimited users and organizations Personalized theme and logo Prioritized feature requests 24-hour max response time Auto-scaling

Pricing is collected from the official BigML website and may change. Always confirm with the vendor.

Frequently Asked Questions

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Key Features

Pros

Wide range of machine learning algorithms covering supervised and unsupervised tasks.
User-friendly web interface combined with a powerful REST API and language bindings.
Strong collaboration features with granular access control for organizations and projects.
Automation tools for model optimization and workflow scripting reduce manual effort.
Flexible deployment options including cloud, private cloud, and on-premises setups.

Cons

Pricing for enterprise and private deployments can be expensive for smaller organizations.
Dataset size limits on free and basic plans may restrict use with very large data.
Requires some programming knowledge to fully leverage API and automation features.
Learning curve for advanced features like WhizzML and OptiML may be steep for beginners.

Pricing

BigML pricing plans
Plan	Price	Highlights
Free	$0 monthly	Up to 60 tasks 16 MB max dataset size per task 2 parallel tasks Basic support
Prime	Contact Sales	Unlimited tasks Larger dataset sizes More parallel tasks Access to Organizations for collaboration Priority job queues and server topology
BigML Lite	$10,000/year	1 server (8 cores) 5 users 1 organization Standard theme Standard 8x5 email and chat support
BigML Bronze Enterprise	$45,000/year + $10,000 setup fee	Up to 1 server / 8 cores Unlimited users and organizations Personalized theme and logo Prioritized feature requests 24-hour max response time Auto-scaling

Pricing is collected from the official BigML website and may change. Always confirm with the vendor.

BigML

Overview

Key Features

Pros

Cons

Pricing

Featured Video

Frequently Asked Questions

Community reviews (0)

Community reviews (0)

Key Features

Pros

Cons

Pricing

Featured Video

Frequently Asked Questions

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