Data state rollover is performed based on data state snapshots and deltas. A series of snapshots is taken of the current data state, an original data state, and data states in between. Deltas are then generated between two sequential snapshots. This results in numerous deltas which represent the difference between consecutive snapshots. Once the deltas are acquired, the deltas may be stored along with the snapshot of the present data state. As such, previous data states may be rolled back to by determining the number of deltas to apply to the current data state to achieve the desired previous data state. In cases where the rollback or rollover fails, deltas may be played against the current data state to a point where the last known trusted and working data point existed.