BigML
BigML lists Corvallis, Oregon as headquarters and Valencia, Spain as its European headquarters.
What it is
BigML is a machine-learning platform for classification, regression, time-series forecasting, clustering, anomaly detection, association discovery and topic modeling. Models include interactive visualizations, prediction explanations and field importances. Users can export models in JSON PML and PMML formats for programming languages and web, mobile or IoT applications. OptiML automates model selection and parameterization; WhizzML automates workflows, and Scriptify turns workflows into reusable scripts. BigML provides a REST API and language bindings including Python, Node.js, Ruby, Java and Swift. Listed integrations include Node-RED, Google Sheets, Zapier, Alexa, Docker and macOS. It is available through the web, API, macOS and self-hosted deployments, including on-premises options. The free plan costs nothing and includes a 16 MB per-task dataset limit, two parallel tasks and one user. Paid plans start at $1,000/ month, and a three-day trial is available. BigML says its users include analysts, developers and scientists.
For and against
For
- Supports forecasting, clustering and anomaly detection
- Models provide explanations and field importances
- Exports include JSON PML and PMML
- Offers REST API and language bindings
- Private deployments can run on-premises
Against
- Free plan limits datasets to 16 MB per task
- Free plan allows two parallel tasks and one user
- Paid plans start at $1,000/ month
- Trial lasts three days
The verdict
BigML combines a broad set of modeling methods with explainability, automation and deployment choices. The free plan provides a way to begin, while the listed paid entry point is $1,000/ month.
Who it suits
It suits analysts, software developers and scientists who need machine-learning tools, model explanations or workflow automation. The platform also offers API access and private deployment options.
Plans and prices
FREE
Unlimited tasks · 16 MB per task · 2 parallel tasks · 1 user
Read 15 Oct 2026 · bigml.com
Basic BigML training
3-hour online session
Read 15 Oct 2026 · bigml.com
BigML Lite
5 users · 1 organization · 1 server (8 cores) · standard 8x5 support
Read 15 Oct 2026 · bigml.com
Extra Support
24x7 support · private email, chat and telephone · under 8-hour response
Read 15 Oct 2026 · bigml.com
BigML Lite (annual)
5 users · 1 organization · 1 server (8 cores) · standard 8x5 support
Read 15 Oct 2026 · bigml.com
Bronze Enterprise
Up to 1 server · 8 cores · unlimited users · unlimited organizations
Read 15 Oct 2026 · bigml.com
On the record
- Algorithms
- The platform includes trees, ensembles, linear and logistic regression, deepnets, time-series forecasting, PCA and other unsupervised methods.bigml.com · read 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 · read 15 Oct 2026
- Automation
- OptiML automates model and parameter selection, while WhizzML and Scriptify automate reusable workflows.bigml.com · read 15 Oct 2026
- CLI
- BigMLer is an open-source command-line tool for automating machine-learning workflows.bigml.com · read 15 Oct 2026
- Collaboration
- Organizations and projects provide shared workspaces with resource-level roles and permissions.bigml.com · read 15 Oct 2026
- Company founding
- BigML says it was founded in January 2011.bigml.com · read 15 Oct 2026
- Company legal name
- Crunchbase identifies the legal entity as BigML, Inc.crunchbase.com · read 15 Oct 2026
- Company size
- LinkedIn lists BigML, Inc. as a privately held software company with 11–50 employees.linkedin.com · read 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 · read 30 Sep 2026
- Developer access
- BigML provides a REST API and bindings for languages including Python, Node.js, Ruby, Java, and Swift.bigml.com · read 30 Sep 2026
- Documentation
- Documentation covers Dashboard use, resource configuration, REST API, BigMLer, bindings and machine-learning fundamentals.bigml.com · read 15 Oct 2026
- Explainability
- Models provide interactive visualizations, prediction explanations, field importances and partial-dependence plots.bigml.com · read 15 Oct 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 · read 30 Sep 2026
- Funding disclosure
- Crunchbase shows six funding rounds for BigML but obscures the monetary amounts on the public profile.crunchbase.com · read 15 Oct 2026
- Integrations
- Official tools include Google Sheets, Zapier, Node-RED, Alexa, PredictServer and a native BigMLX macOS application.bigml.com · read 15 Oct 2026
- Licence
- The hosted BigML platform is proprietary under BigML terms, while selected bindings and libraries are open source.bigml.com · read 15 Oct 2026
- Limit: G2 offline use
- G2’s review summary identifies lack of offline support as a recurring limitation.g2.com · read 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 · read 15 Oct 2026
