H2O Driverless AI vs Obviously AI
H2O Driverless AI
h2o.aiObviously AI
obviously.aiSide by side
| Figure | H2O Driverless AI | Obviously AI |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | Yes | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | — |
| Plans published | 1 | 4 |
| Spec score · Low-Code Machine Learning Platforms Software | 7.9 (#9) | 8.1 (#6) |
| Spec score · Augmented Analytics Software | 8.0 (#12) | 8.3 (#5) |
| Spec score · Predictive Analytics Software | 7.9 (#15) | 8.3 (#9) |
| Spec score · AutoML Software | 7.8 (#14) | 8.0 (#10) |
| Deployment | Models can be deployed as REST endpoints, cloud services, or optimized Java code for edge devices. | The product page says instant web apps let users share a dynamic link to use a model in real time. |
| Headquarters | Mountain View, California, United States | Crunchbase places the company in San Francisco, California. |
| Integrations | Documented integrations include Kubernetes, Kubeflow, SageMaker, Alteryx, Jupyter/Python, KDB, Qlik, Trifacta, and UiPath. | The official integrations catalog lists Airtable, Amazon Redshift, Box, Chartio, CSV, Dropbox, Google Analytics, Google BigQuery, Google Drive, HubSpot, JSON, Kaggle, Mode, MongoDB, MySQL, PostgreSQL, Salesforce, Shopify, Snowflake, SQL Server, Tableau, Typeform and Zapier. |
| What it does | Driverless AI automates feature engineering, model building, visualization, and interpretability. | Obviously AI is a no-code hosted platform for turning historical data into predictive machine-learning models without programming. |
Plans
Obviously AI
- FreeFree
- Enterprise PlanPriced on request
- SMB PlanPriced on request
- Startup PlanPriced on request
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.
Obviously AI
Obviously AI is a freemium, web-based no-code tool for turning structured data into predictive models. Listed model uses include classification, regression, and time series prediction. Models can be published as instant web apps with shareable dynamic links, or connected through real-time REST APIs that send predictions to tools such as Power BI and Looker. Automatic model monitoring and Zapier if-this-then-that automations are also described. Integrations include Amazon Redshift, Google BigQuery, Google Drive, HubSpot, Shopify, Snowflake, Tableau, and Zapier. A structured dataset is required; the documentation recommends at least 1,000 rows and 5 columns. CSV is the listed import format, with uploads up to 10 MB. The Free plan costs nothing and includes 1,200 predictions, one user seat, unlimited models, 1M rows of training data, CSV-only data, and limits of 10,000 data rows. Obviously AI is based in San Francisco. Security information lists SOC 2 Type II, GDPR data-retention compliance, HIPAA compliance, TLS in transit, and AES-256 at rest.