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BigML

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What BigML is

BigML is a machine-learning platform for classification, regression, forecasting, cluster analysis, anomaly detection, association discovery, and topic modeling. Its models include interactive visualizations, prediction explanations, and field importances. Models can be exported in JSON PML and PMML formats for use in programming languages and web, mobile, or IoT applications. OptiML automates model selection and parameterization, WhizzML automates workflows, and Scriptify converts workflows into reusable scripts. BigML offers a REST API and language bindings including Python, Node.js, Ruby, Java, and Swift, as well as integrations and tools for Node-RED, Google Sheets, Zapier, Alexa, Docker, and MacOS. The free plan is listed as free and includes a 16 MB dataset limit per task, two parallel tasks, and one user. A trial offers up to 60 tasks or three days of full access without a credit card. Paid plans start at $1,000 per month. Private deployments can run through a preferred cloud provider, an ISP, or on premises behind a corporate firewall.

Who it suits

BigML describes its users as analysts, software developers, and scientists. Private deployment options may suit organizations that want to run it on a preferred cloud provider, ISP, or on-premises.

What it does well

Supports forecasting, anomaly detection, and topic modeling
Models include prediction explanations and field importances
Private deployments can run on premises
Free plan is listed as free

What to know first

Free plan limits datasets to 16 MB per task
Free plan allows two parallel tasks and one user
Paid plans start at $1,000 per month

Limits

The free plan lists one user, two parallel tasks, and a maximum dataset size of 16 MB per task. The trial provides up to 60 tasks or three days of full access without a credit card.

Plans

Plan	Billed and limits	Price
FREE	$0/month · Unlimited tasks · 16 MB per task · 2 parallel tasks · 1 user	Free
BigML Lite	$1,000/month · 5 users · 1 organization · 1 server (8 cores) · standard 8x5 support · 48-hour response	$1,000 a month
BigML Lite (annual)	$10,000/year · 5 users · 1 organization · 1 server (8 cores) · standard 8x5 support · 48-hour response	$10,000 a year
Extra Support	$3,000/month · 24x7 support · private email, chat and telephone · under 8-hour response	$3,000 a month
Bronze Enterprise	$45,000/year + $10,000 setup fee · Up to 1 server · 8 cores · unlimited users · unlimited organizations · auto-scaling · 24-hour response	$45,000 a year
Basic BigML training	$800 · 3-hour online session	$800, paid once

As bigml.com lists them, read 15 Oct 2026. The maker's own page has the final word.

Getting started

Visit the BigML website.
Start with the free plan or use the trial for up to 60 tasks or three days of full access.
Choose web, macOS, or API access, or arrange a self-hosted deployment.
Use the REST API or language bindings if working through code.
Select a paid plan for the listed team, server, or support options.

Verdict

BigML combines a broad set of machine-learning methods with model explanations, workflow automation, and deployment options. Its free plan has task and user limits, while listed paid plans begin at $1,000 per month.

Questions

Does BigML have a free plan?

Yes. The FREE plan costs nothing and lists one user, two parallel tasks, and a 16 MB maximum dataset size per task.

How much do paid plans cost?

BigML Lite is $1,000 per month. Extra Support is $3,000 per month, and Bronze Enterprise is $45,000 per year plus a $10,000 setup fee.

Is there a free trial?

Yes. The trial provides up to 60 tasks or three days of full access, without a credit card.

Where can I use BigML?

It is available on the web and macOS, through an API, and as a self-hosted deployment.

Does BigML provide an API and integrations?

It provides a REST API and bindings for Python, Node.js, Ruby, Java, and Swift. Listed integrations and tools include Node-RED, Google Sheets, Zapier, Alexa, Docker, and macOS.

What security and deployment options does BigML describe?

BigML says connections use HTTPS and resources are private; its team cannot access user data without explicit consent. Private deployments can run on a preferred cloud provider or ISP, or on-premises behind a corporate firewall.

Facts from BigML's own pages

Algorithms: The platform includes trees, ensembles, linear and logistic regression, deepnets, time-series forecasting, PCA and other unsupervised methods. · bigml.com, 15 Oct 2026
API: BigML exposes a REST API that covers most Dashboard functionality and authenticates requests with a username and API key over HTTPS. · bigml.com, 15 Oct 2026
Automation: OptiML automates model and parameter selection, while WhizzML and Scriptify automate reusable workflows. · bigml.com, 15 Oct 2026
CLI: BigMLer is an open-source command-line tool for automating machine-learning workflows. · bigml.com, 15 Oct 2026
Collaboration: Organizations and projects provide shared workspaces with resource-level roles and permissions. · bigml.com, 15 Oct 2026
Company founding: BigML says it was founded in January 2011. · bigml.com, 15 Oct 2026
Company legal name: Crunchbase identifies the legal entity as BigML, Inc. · crunchbase.com, 15 Oct 2026
Company size: LinkedIn lists BigML, Inc. as a privately held software company with 11–50 employees. · linkedin.com, 15 Oct 2026
Deployment: Private deployments can run on a preferred cloud provider, ISP, or on-premises behind a corporate firewall, as managed or self-managed deployments. · bigml.com, 30 Sept 2026
Developer access: BigML provides a REST API and bindings for languages including Python, Node.js, Ruby, Java, and Swift. · bigml.com, 30 Sept 2026
Documentation: Documentation covers Dashboard use, resource configuration, REST API, BigMLer, bindings and machine-learning fundamentals. · bigml.com, 15 Oct 2026
Explainability: Models provide interactive visualizations, prediction explanations, field importances and partial-dependence plots. · bigml.com, 15 Oct 2026
Founded: 2011 · bigml.com, 28 Sept 2026
Free tier limits: The free account includes up to 60 tasks, a 16 MB per-task dataset limit, and two parallel tasks; the trial gives up to 60 tasks or three days of full access without a credit card. · bigml.com, 30 Sept 2026
Funding disclosure: Crunchbase shows six funding rounds for BigML but obscures the monetary amounts on the public profile. · crunchbase.com, 15 Oct 2026
Headquarters: BigML lists Corvallis, Oregon as headquarters and Valencia, Spain as its European headquarters. · bigml.com, 15 Oct 2026
Integrations: Official tools include Google Sheets, Zapier, Node-RED, Alexa, PredictServer and a native BigMLX macOS application. · bigml.com, 15 Oct 2026
Licence: The hosted BigML platform is proprietary under BigML terms, while selected bindings and libraries are open source. · bigml.com, 15 Oct 2026
Limit: G2 offline use: G2’s review summary identifies lack of offline support as a recurring limitation. · g2.com, 15 Oct 2026
Limit: Software Advice anomalies: Another Software Advice reviewer reports seeing software anomalies, while a third reviewer reports no serious complaints. · softwareadvice.com, 15 Oct 2026
Limit: Software Advice pricing and documentation: A Software Advice reviewer says some ensemble and anomaly-detection features require paid plans and that documentation could be more beginner-friendly. · softwareadvice.com, 15 Oct 2026
Model explainability: Models include interactive visualizations, prediction explanations, and field importances. · bigml.com, 30 Sept 2026
Model export: Models can be exported as JSON PML or PMML for local or embedded predictions in applications and edge devices. · bigml.com, 15 Oct 2026
Open-source licence example: The BigML histogram library is released under Apache License 2.0. · github.com, 15 Oct 2026

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