Snowflake versus In-memory Features: Difference between revisions
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||Clustering analysis | ||Clustering analysis | ||
|style="text-align:center;"|X | |style="text-align:center;"|X | ||
||Planned in PA 2023.5 | |||
|- | |- | ||
||Queue analysis to identify bottlenecks (+other new presets) | ||Queue analysis to identify bottlenecks (+other new presets) | ||
|style="text-align:center;"|X | |style="text-align:center;"|X | ||
|Planned in PA 2023.6 | |||
|- | |- | ||
||Notifications and alerts to initiate corrective actions | ||Notifications and alerts to initiate corrective actions | ||
Revision as of 19:46, 30 July 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 | |
| Clustering analysis | X | Planned in PA 2023.5 |
| Queue analysis to identify bottlenecks (+other new presets) | X | Planned in PA 2023.6 |
| Notifications and alerts to initiate corrective actions | X | Planned in PA 2023.7 |
| Calculated attributes to create reusable measures | X | Planned in PA 2023.7 |
| Case level permissions for granular access control | X | Planned in PA 2023.8 |
| Dynamic dropdown list selector to select model items | X | Planned in PA 2023.8 |
| Advanced machine learning functionality (e.g., prediction) | X | |
| Define custom aggregations using expressions | X | |
| Loops and advanced programming logic in custom expressions | X |