Snowflake versus In-memory Features: Difference between revisions
Jump to navigation
Jump to search
No edit summary |
No edit summary |
||
| Line 6: | Line 6: | ||
! '''Snowflake''' | ! '''Snowflake''' | ||
|- | |- | ||
||Event filtering based on event attributes and expressions ( | ||Event filtering based on event attributes and expressions (by any criteria) | ||
||Only by event types | ||Only by event types | ||
|style="text-align:center;"|X | |style="text-align:center;"|X | ||
Revision as of 20:10, 7 February 2023
This page describes differences in available features between dashboards using Snowflake and in-memory models.
| Feature | In-memory | Snowflake |
|---|---|---|
| Event filtering based on event attributes and expressions (by any criteria) | Only by event types | X |
| Measure and dimension specific filters | X | |
| Dynamic event type mapping (allows to set event type for each chart/flowchart) | X | |
| Business calendar for duration calculation | X | Planned in PA 2023.2 |
| Define measures as variables to build combined measures | X | Planned in PA 2023.2 |
| Statistical aggregations (median, standard deviation, variance, percentile) | X | Planned in PA 2023.2 |
| Conformance analysis using BPMN design models | X | Planned in PA 2023.3 |
| Calculated attributes to create reusable measures | X | Planned in PA 2023.3 |
| Case level permissions for granular access control | X | Planned in PA 2023.4 |
| Notifications and alerts for improvement actions | X | Planned in PA 2023.4 |
| Root causes analysis for flowchart and some advanced chart presets | X | Planned in PA 2023.4 |
| Loops and advanced programming logic in custom expressions | X | |
| Define custom aggregations using expressions | X |