Snowflake versus In-memory Features

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Revision as of 09:38, 25 April 2023 by Ollvihe (talk | contribs)
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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
Root causes analysis for flowchart X Planned in PA 2023.3
Statistical aggregations (median, percentile, standard deviation, variance) X Planned in PA 2023.3
Conformance analysis using BPMN design models X Planned in PA 2023.3 (except nonconformance reasons)
Notifications and alerts to initiate corrective actions X Planned in PA 2023.4
Advanced chart presets X Planned in PA 2023.4
Calculated attributes to create reusable measures X Planned in PA 2023.5
Case level permissions for granular access control X Planned in PA 2023.5
Dynamic dropdown list selector to select model items X Planned in PA 2023.6
Machine learning functionality (e.g., prediction, clustering) X
Loops and advanced programming logic in custom expressions X
Define custom aggregations using expressions X