BigML
7.7#1 in predictive analytics softwareFrom $10,000 a yearFree planWebAPImacOSSelf-hosted
VisitBigML vs H2O Driverless AI
H2O Driverless AI
6.2#8 in low-code machine learning platforms softwareWebAPILinuxmacOS
VisitWhat both publish
| Fact | BigML | H2O Driverless AI |
|---|---|---|
| Deployment | Private deployments can run on a preferred cloud provider, ISP, or on-premises behind a corporate firewall, as managed or self-managed deployments. | Models can be deployed as REST endpoints, cloud services, or optimized Java code for edge devices. |
| Explainability | Models provide interactive visualizations, prediction explanations, field importances and partial-dependence plots. | It provides explanations of model output at global and individual prediction levels. |
| Founded | 2011 | 2012 |
| Headquarters | BigML lists Corvallis, Oregon as headquarters and Valencia, Spain as its European headquarters. | Mountain View, California, United States |
| Integrations | Official tools include Google Sheets, Zapier, Node-RED, Alexa, PredictServer and a native BigMLX macOS application. | Documented integrations include Kubernetes, Kubeflow, SageMaker, Alteryx, Jupyter/Python, KDB, Qlik, Trifacta, and UiPath. |
BigML plans
- FREEFree
- Basic BigML training$800, paid once
- BigML Lite$1,000 a month
- Extra Support$3,000 a month
- BigML Lite (annual)$10,000 a year
- Bronze Enterprise$45,000 a year
H2O Driverless AI plans
- H2O Driverless AIPriced on request
Pick BigML if…
BigML suits analysts, software developers, and scientists who need machine-learning tools, workflow automation, or model deployment options. Its API and language bindings may suit teams integrating models into software.
Pick H2O Driverless AI if…
Driverless AI is aimed at data scientists, DevOps and IT professionals, and business analysts. It may suit teams seeking automated model workflows and several deployment formats.