Snowflake versus In-memory Features: Difference between revisions
Jump to navigation
Jump to search
No edit summary |
No edit summary |
||
| Line 35: | Line 35: | ||
|- | |- | ||
||Clustering analysis | ||Clustering analysis | ||
|style="text-align:center;"|X | |style="text-align:center;" | ||
|X | |||
|Planned in PA 2023.5 | |||
|- | |- | ||
||Notifications and alerts to initiate corrective actions | ||Notifications and alerts to initiate corrective actions | ||
Revision as of 14:54, 6 June 2023
This page describes differences in available features between in-memory and Snowflake dashboards.
| Feature | In-memory | Snowflake | |
|---|---|---|---|
| Event filtering based on event attributes and expressions (by any criteria) | Only by event types | X | |
| Filter rules can be defined for measures and dimensions | X | ||
| Dynamic event type mapping (allows to set event type for each chart/flowchart) | X | ||
| Show violation reasons in conformance analysis | X | Planned in PA 2023.4 | |
| Presets for process compliance analysis (+other new presets) | X | Planned in PA 2023.4 | |
| Path analysis (parts of process variations) | X | Planned in PA 2023.4 | |
| Queue analysis to identify bottlenecks | X | Planned in PA 2023.5 | |
| Clustering analysis | style="text-align:center;" | X | Planned in PA 2023.5 |
| Notifications and alerts to initiate corrective actions | X | Planned in PA 2023.5 | |
| Calculated attributes to create reusable measures | X | Planned in PA 2023.6 | |
| Case level permissions for granular access control | X | Planned in PA 2023.7 | |
| Dynamic dropdown list selector to select model items | X | Planned in PA 2023.7 | |
| Advanced machine learning functionality (e.g., prediction) | X | ||
| Define custom aggregations using expressions | X | ||
| Loops and advanced programming logic in custom expressions | X |