H2O Driverless AI vs Pecan AI
H2O Driverless AI
h2o.ai
Pecan AI
pecan.aiSide by side
| Figure | H2O Driverless AI | Pecan AI |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| API | Yes | — |
| Self-hosted | Yes | — |
| Plans published | 1 | 3 |
| Spec score · Low-Code Machine Learning Platforms Software | 7.9 (#9) | 6.8 (#16) |
| Spec score · Augmented Analytics Software | 8.0 (#12) | 7.0 (#23) |
| Spec score · Predictive Analytics Software | 7.9 (#15) | 6.9 (#26) |
| Spec score · AutoML Software | 7.8 (#14) | 6.7 (#23) |
| Deployment | Models can be deployed as REST endpoints, cloud services, or optimized Java code for edge devices. | Users can schedule recurring predictions and send them to databases, data warehouses, CRMs, or other systems. |
| Founded | 2012 | 2018 |
| Headquarters | Mountain View, California, United States | Tel Aviv, Israel |
| Integrations | Documented integrations include Kubernetes, Kubeflow, SageMaker, Alteryx, Jupyter/Python, KDB, Qlik, Trifacta, and UiPath. | Built-in integrations include Snowflake, Databricks, BigQuery, Salesforce, HubSpot, Redshift, PostgreSQL, Oracle, MySQL, and other data sources. |
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.