Tools
Dataiku (DSS) vs H2O Driverless AI
Dataiku (DSS) 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: Connects to your data, Builds models, API
- Only Dataiku (DSS) states: Writes SQL, Python and notebooks
- Only H2O Driverless AI states: Charts and dashboards
Dataiku (DSS)
Dataiku DSS helps teams prepare data, build AI models and agents, deploy them, and govern analytics workflows.
Plans
Not read from the maker’s page yet.
Prices checked 2026-09-25 on the maker’s page.
Capabilities
- Writes SQL — “Generate preparation steps, SQL queries, and Flow creation plans using natural language, with full transparency and governance.” source
- Connects to your data — “Connect to Snowflake, Databricks, Redshift, S3, APIs, and enterprise systems while leveraging SQL, Spark, Kubernetes, or GPUs.” source
- Python and notebooks — “Join, clean, and transform data using visual recipes or Python, R, and SQL, fully documented and versioned in the Flow.” source
- Builds models — “Enable analysts and data scientists to build, validate, and compare models using code-free and assisted workflows while preserving flexibility.” source
- API — “Move from experimentation to APIs, batch scoring, or production pipelines without handoffs.” source
Security
- SOC 2 Type II — “Dataiku has completed SOC 1 Type II and SOC 2 Type II assessments to assure our customers that internal controls are in place to protect their data.” source
- SOC 2 — “Dataiku has completed SOC 1 Type II and SOC 2 Type II assessments to assure our customers that internal controls are in place to protect their data.” source
- ISO 27001 — “Dataiku is ISO 27001:2022-certified, demonstrating that it has implemented and maintained an Information Security Management System (ISMS).” source
- ISO 42001 — “Dataiku is ISO 42001:2023-certified for the implementation and governance of its Artificial Intelligence Management System (AIMS).” source
- GDPR — “Dataiku is compliant with global data protection regulations, such as the GDPR and the CCPA.” source
- HIPAA — “To support the compliance programs for our Healthcare/ Life Sciences customers, Dataiku has voluntarily extended its Trust program to include a HIPAA (Health Insurance Portability and Accountability Act) compliance report.” source
Latest updates
- Version 15.0.2 - September 24th, 2026 (15.0.2)
DSS 15.0.2 includes bug fixes, security fixes and performance enhancements
- Version 15.0.1 - September 10th, 2026 (15.0.1)
Added per-user custom instructions; Cobuild can create and manage ML evaluation recipes and Agent evaluation recipes, and inspect, create and edit Dashboards
- Version 15.0.0 - August 14th, 2026 (15.0.0)
Added Agent Skills, an MCP server, Polars support, expanded Python fast-path support, multi-target regression, and automatic build of Code Env and Code Studio images
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.