Snowflake versus In-memory Features: Difference between revisions

Revision as of 00:50, 19 March 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
Business calendar for duration calculation	X	PA 2023.2
Define measures as variables to build combined measures	X	PA 2023.2
Statistical aggregations (median, standard deviation, variance, percentile)	X	Planned in PA 2023.3
Conformance analysis using BPMN design models	X	Planned in PA 2023.3
Root causes analysis for flowchart and some advanced chart presets	X	Planned in PA 2023.3
Calculated attributes to create reusable measures	X	Planned in PA 2023.4
Notifications and alerts to initiate corrective actions	X	Planned in PA 2023.4
Case level permissions for granular access control	X	Planned in PA 2023.5
Loops and advanced programming logic in custom expressions	X
Define custom aggregations using expressions	X
Machine learning functionality (e.g., prediction, clustering)	X

@@ Line 20: / Line 20: @@
 ||Business calendar for duration calculation
 |style="text-align:center;"|X
-||Planned in PA 2023.2
+||PA 2023.2
 |-
 ||Define measures as variables to build combined measures
 |style="text-align:center;"|X
-||Planned in PA 2023.2
+||PA 2023.2
 |-
 ||Statistical aggregations (median, standard deviation, variance, percentile)