Capability matrix¶
The following table provides an evolving comparison of capabilities available in DataRobot Classic and Workbench.
| Feature | DataRobot Classic | Workbench |
|---|---|---|
| General platform features | ||
| Sharing | Data, projects | Data, Use Cases |
| Business-wide solution | No, single projects | Yes, experiments in a Use Case |
| Authentication | SSO, 2FA, API key management | SSO, 2FA, API key management |
| Data-related capabilities | ||
| Data sources | Certified JDBC Connectors, local file upload, URL | Snowflake, local file upload, static and snapshot datasets created in DataRobot Classic |
| Data preparation | No | Wrangling |
| Feature Discovery | Yes | No |
| Data Quality Assessment | Yes | No |
| Data storage | AI Catalog | Data Registry |
| Modeling-related capabilities | ||
| Modeling types | Binary classification, regression, multiclass, multilabel, clustering, anomaly detection | Binary classification, regression |
| Partitioning | Random, Partition Feature, Group, Date/Time, Stratified | Random, Stratified, Date/Time |
| TVH partitioning | Yes | Yes |
| Feature lists | Automatic and manual | Automatic (Informative and Raw, Univariate Selections, Reduced Features) |
| Modeling modes | Quick, full Autopilot, Comprehensive, Manual | Quick |
| Advanced options | Yes | Partitioning only |
| Time-aware | Time series and OTV | Yes |
| Blenders | Yes, with option enabled | No |
| Retraining | Yes | New feature list or sample size only |
| Model Repository | Yes | No |
| Composable ML | Yes | No |
| Visual AI | Yes | No |
| Bias and Fairness | Yes | No |
| Text AI | Yes | Yes, for supported model types |
| Location AI | Yes | No |
| Model insights | See the full list | Feature Impact, ROC Curve, Lift Chart, Residuals, Accuracy Over Time, Stability |
| Unlocking holdout | Automatically for the recommended model or anything prepared for deployment | Automatically for all models |
| Downloads | Data, Leaderboard, Scoring Code, Compliance Report, exportable charts | Compliance Report |
| Prediction-related capabilities | ||
| Predictions | Predictions | Model Overview > Make predictions |
| MLOps (coming soon) | ||
| MLOps | Yes | No |
| No-Code AI Apps | ||
| No-Code AI Apps | Yes | Yes |
| DataRobot Notebooks | ||
| DataRobot Notebooks | Yes | Yes |
Updated May 25, 2023
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