Snowflake versus In-memory Features: Difference between revisions
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||Planned in PA 2023.7 | ||Planned in PA 2023.7 | ||
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|| | ||Case level permissions for granular access control | ||
|style="text-align:center;"|X | |style="text-align:center;"|X | ||
||Planned in PA 2023.7 | ||Planned in PA 2023.7 | ||
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|| | ||Calculated attributes to create reusable measures | ||
|style="text-align:center;"|X | |style="text-align:center;"|X | ||
||Planned in PA 2023.8 | ||Planned in PA 2023.8 | ||
Revision as of 21:43, 3 September 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 to find similar groups of cases | X | Planned in PA 2023.5 |
| Queue analysis to identify bottlenecks, Four eyes principle for compliance violations (and other new presets) | X | Planned in PA 2023.6 |
| Notifications and alerts to initiate corrective actions | X | Planned in PA 2023.7 |
| Case level permissions for granular access control | X | Planned in PA 2023.7 |
| Calculated attributes to create reusable measures | X | Planned in PA 2023.8 |
| Dropdown list for custom parameter selection | X | Planned in PA 2023.8 |
| Advanced machine learning functionality (e.g., prediction) | X | |
| Custom aggregations defined using expressions | X |