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DataRobot AI Platform (AutoML) vs H2O Driverless AI

DataRobot AI Platform (AutoML) or H2O Driverless AI? Their plans monthly and yearly, the capabilities their makers state, security and latest updates, side by side — read from the makers' own pages.

In short

  • Both: Charts and dashboards, Connects to your data, Builds models, API
  • Only DataRobot AI Platform (AutoML) states: Python and notebooks, Real-time data, Self-hosted

DataRobot AI Platform (AutoML)

Automates predictive model building, evaluation, and deployment for teams using structured and time-series data.

Plans

Not read from the maker’s page yet.

Prices checked 2026-09-25 on the maker’s page.

Capabilities

  • Charts and dashboards — “Custom charts” source
  • Connects to your data — “Snowflake integration” source
  • Python and notebooks — “Build blueprints using built-in DataRobot tasks and custom Python or R code.” source
  • Builds models — “Build models” source
  • Real-time data — “Real-time predictions” source
  • API — “Make predictions in DataRobot using the UI or API.” source
  • Self-hosted — “For Self-Managed AI Platform users running v11.1, see the self-managed platform documentation” source

Security

  • SOC 2 Type II — “SOC2 Type II : We annually undergo an independent assessment of our cloud control environment.” source
  • SOC 2 — “SOC2 Type II : We annually undergo an independent assessment of our cloud control environment.” source
  • ISO 27001 — “ISO 27001 : We are certified under ISO 27001, a globally recognized standard for an organization’s Information Security Management System.” source
  • GDPR — “We comply with international data privacy regulations, including GDPR, CCPA, CPRA, CPA, VCDPA, and the EU AI Act.” source
  • HIPAA — “HIPAA : DataRobot’s HIPAA-compliant Single-Tenant SaaS offering is now available on AWS, Azure and GCP.” source

Latest updates

About DataRobot AI Platform (AutoML)

H2O Driverless AI

H2O Driverless AI automates machine learning workflows, including feature engineering, model building, explainability, and deployment.

Plans

Not read from the maker’s page yet.

Prices checked 2026-09-25 on the maker’s page.

Capabilities

  • Charts and dashboards — “present the results in chart format” source
  • Connects to your data — “Ingest data from a variety of data sets including Hadoop HDFS, Amazon S3, and more.” source
  • Builds models — “Quickly create and test highly accurate and robust models with state-of-the-art automated machine learning” source
  • API — “creating a REST endpoint for any web applications to invoke the model” source

Security

  • SOC 2 Type II — “SOC 2 Type 2” source
  • SOC 2 — “SOC 2 Type 2” source
  • ISO 27001 — “ISO/IEC 27001:2022” source
  • GDPR — “Data Processing Agreement” source

Latest updates

  • Version 2.5.0 (August 28, 2026) (2.5.0)

    Added DAICatBoost as a built-in model, batch TTA support, and automatic seasonality and trend detection.

  • Version 2.4.5 (July 29, 2026) (2.4.5)

    Updated the custom H2O-3 build and HMLI to Java 17 / Jetty 12; upgraded MOJO2 runtime and transformers library to 5.x.

  • Version 2.4.4 (June 27, 2026) (2.4.4)

    Migrated pretrained-model download URLs from S3 to CDN and upgraded PyTorch Lightning and AutoDoc.

About H2O Driverless AI