Exactly! We don't store any data and natively connect to external data warehouses. This means we're way cheaper— no need to move data or store a copy.
Since this is the "best practice" architecture, we've made the decision to focus on integrations with data warehouses specifically— Snowflake, BigQuery, etc. I don't think Chartbrew has these.
Oftentimes data teams have those data sources in the warehouse already (or a process for ETLing new ones in).
Copying data only once means lower costs (maybe) and fewer inconsistencies.
Plus if they’ve done work to join/clean/transform the data in the warehouse they can take advantage of that for product analytics without having to reinvent the wheel in ChartBrew or Mixpanel.