BoostKPI and SisuData comparison

Comparison

Where is the difference?

BoostKPI proactively detects anomalies (in any subset of the data) and sends alerts (via email/slack/teams) with the root cause. Sisu does not provide any alerting. Instead, it is reactive, focusing on helping data analysts quickly find root causes behind any metric change. We do provide some ad-hoc root-cause analysis functionality but it is less general-purpose and more opinionated than Sisu.


Business Intelligence and Visualization
Basic timeseries charts	+	+
Advanced Visualization (like Bubble Charts)
Visualize high level trends	+	+
Customizable Dashboards	+	+
Collaboration and ability to share dashboards	+	+
Set up and integration
Easy Integration	+	+
SQL Editor to create rich views that join multiple data sources	+	+
CSV support to test use cases	+	+
Surface insights in high dimensional data	+	+
AI/ML capabilities
Driver analysis that scales to millions of segments	+	+
Granular detection and alerting on KPI anomalies	+	+
Smart routing of alerts based on root causes	+
Granular forecasts	+	+
Additional differences
Hosted solution	+	+