Does Data Blocking Help Reduce MAR?

Question

Can I reduce my Monthly Active Rows (MAR) usage by using data blocking?

Answer

Table-level blocking

Restricting the sync of new tables into your destination helps not incur additional paid MAR usage for incremental syncs as newer data is identified by your connector after the tables are initially synced for free. This can be done by choosing the Allow Columns or Block All options under Schema Change settings in your dashboard.

Column-level blocking

You can't reduce your MAR usage with column-level blocking. MAR is the number of distinct primary keys synced from the source system to your destination in a given calendar month. Primary key columns are mandatorily synced and cannot be blocked.

Cause

Data blocking allows you to exclude tables and columns containing sensitive data from your syncs.