No. 17 of 36 ·Predictive Analytics Software

H2O Driverless AI

Web · Windows · Mac · Linux · Self-hosted · API

Freedom report

Two barsScore 5.2

Free tierNo free tier on record
Open codeNo open-source code on record
Runs widely4 of 6 device platforms
DocumentedPlans, terms and facts published

H2O Driverless AI is ranked #17 of 36 in predictive analytics software on Freedom251. It runs on API, Linux, macOS, Self-hosted, Web, Windows. There is no free plan. A free trial is offered.

H2O Driverless AI plans and pricing

All plans

H2O Driverless AI Not published Commercial license required; contact sales for purchase information docs.h2o.ai · 4 Oct 2026

Compared on predictive analytics software

Free plan: No

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The record

What it does: Driverless AI automates feature engineering, model building, visualization, and interpretability.
Model workflow: It automates model validation, tuning, selection, interpretability, and scoring pipeline generation.
Explainability: It provides explanations of model output at global and individual prediction levels.
Deployment: Models can be deployed as REST endpoints, cloud services, or optimized Java code for edge devices.
Hardware and algorithms: The product supports NVIDIA GPUs, IBM Power 9 and Intel x86 CPUs, and GPU accelerated algorithms including XGBoost, TensorFlow, and LightGBM.
Integrations: Documented integrations include Kubernetes, Kubeflow, SageMaker, Alteryx, Jupyter/Python, KDB, Qlik, Trifacta, and UiPath.
Data connectors: Documented data sources include HDFS, Amazon S3, Azure Blob Storage, Google BigQuery, Google Cloud Storage, Snowflake, JDBC, Databricks, and Delta Table.
Cloud availability: Cloud installation options include H2O AI Cloud, AWS, Azure, and Google Cloud.
Trial: H2O offers a 21-day evaluation license for public cloud use and a two-hour H2O Aquarium Cloud test drive with guided tutorials.
Security configuration: The documentation warns that security is disabled in a default installation and recommends a secure installation for production.
Authentication: Supported authentication methods include client certificate, LDAP, local, mTLS, OpenID, and PAM; unvalidated authentication is the default.
Installation platforms: The download documentation lists Linux packages, Windows 10 Pro Docker, and macOS Docker, and cautions that Windows and macOS laptops are intended only for small exploratory datasets.
Intended users: H2O describes data scientists, DevOps and IT professionals, and business analysts as audiences for Driverless AI.
Founded: 2012

Where it ranks on Freedom251

Best Predictive Analytics Software in 2026#17 of 36
Best Augmented Analytics Software in 2026#16 of 32
Best AutoML Software in 2026#17 of 28

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Sources

docs.h2o.ai/driverless-ai/latest-stable/index.html· checked 4 Oct 2026
h2o.ai/platform/ai-cloud/make/h2o-driverless-a· checked 4 Oct 2026
docs.h2o.ai/driverless-ai/latest-stable/docs/usergu· checked 4 Oct 2026
docs.h2o.ai/driverless-ai/latest-stable/docs/usergu· checked 4 Oct 2026
docs.h2o.ai/driverless-ai/latest-stable/docs/usergu· checked 4 Oct 2026
h2o.ai/content/h2o/language-masters/ja/o/try-d· checked 4 Oct 2026
docs.h2o.ai/driverless-ai/latest-lts/docs/userguide· checked 4 Oct 2026
h2o.ai/platform/ai-cloud/make/h2o/· checked 28 Sept 2026
docs.h2o.ai/driverless-ai/latest-stable/docs/usergu· checked 4 Oct 2026