H2O Driverless AI vs SAS Advanced Analytics
H2O Driverless AI
h2o.ai
SAS Advanced Analytics
sas.comSide by side
| Figure | H2O Driverless AI | SAS Advanced Analytics |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | Yes | Yes |
| Open source | — | — |
| Web | Yes | — |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 1 |
| Spec score · Data Science and Machine Learning Platforms | 7.8 (#8) | 7.1 (#13) |
| Spec score · Low-Code Machine Learning Platforms Software | 7.9 (#9) | 7.1 (#15) |
| Spec score · Predictive Analytics Software | 7.9 (#15) | 7.1 (#24) |
| Spec score · AutoML Software | 7.8 (#14) | 7.1 (#20) |
| Deployment | Models can be deployed as REST endpoints, cloud services, or optimized Java code for edge devices. | SAS Viya can be deployed through SAS-managed cloud services or as a self-managed deployment on cloud platforms. |
| Founded | 2012 | 1976 |
| Headquarters | Mountain View, California, United States | Cary, North Carolina, United States |
| Integrations | Documented integrations include Kubernetes, Kubeflow, SageMaker, Alteryx, Jupyter/Python, KDB, Qlik, Trifacta, and UiPath. | SAS Data and AI Studio connects to services and data sources including Amazon S3, Google BigQuery, Azure Data Lake Storage, Snowflake, Oracle, MongoDB and Apache Airflow. |
| Intended users | H2O describes data scientists, DevOps and IT professionals, and business analysts as audiences for Driverless AI. | Viya is presented for organizations, including regulated and risk-sensitive industries that need speed, scale and compliance. |
| Trial | H2O offers a 21-day evaluation license for public cloud use and a two-hour H2O Aquarium Cloud test drive with guided tutorials. | SAS offers a free trial in a private trial environment. |
| What it does | Driverless AI automates feature engineering, model building, visualization, and interpretability. | SAS Viya is a cloud-native data and AI platform for connecting data, building and governing models, and operationalizing decisions. |
Plans
In their own words
H2O Driverless AI
H2O Driverless AI automates machine-learning work from feature engineering and model building through validation, tuning, selection, visualization, interpretability, and scoring-pipeline generation. It explains model output at both global and individual-prediction levels. Models can be deployed as REST endpoints, cloud services, or optimized Java code for edge devices. Supported hardware includes NVIDIA GPUs, IBM Power 9, and Intel x86 CPUs; GPU-accelerated algorithms include XGBoost, TensorFlow, and LightGBM. Documented integrations include Kubernetes, Kubeflow, SageMaker, Alteryx, Jupyter/Python, KDB, Qlik, Trifacta, and UiPath. Data sources include HDFS, Amazon S3, Azure Blob Storage, Google BigQuery, Google Cloud Storage, Snowflake, JDBC, Databricks, and Delta Table. Cloud installation options are H2O AI Cloud, AWS, Azure, and Google Cloud. H2O offers a 21-day public-cloud evaluation license and a guided two-hour cloud test drive. Commercial licensing requires contacting sales; no price is listed. The default installation disables security, so production use calls for secure installation.
SAS Advanced Analytics
SAS Advanced Analytics has no write-up on Specifiction yet; its figures are above.