Data consistency across replicas in a cluster of nodes is maintained by continuously validating local data ranges and repairing any inconsistencies found. Local data ranges are split into segments and prioritized. After a segment is selected for validation, a hash value of a portion of the segment is compared to a hash value from other nodes storing replicas of that data. If the hash values match then the data is consistent. If the hash values do not match then the data is not consistent and whichever data is most current according to their timestamps is considered correct. If the local node data is correct, it is communicated to the replica nodes so they can be updated. If the local node data is not correct, then data from the replica nodes is correct and is used to update the data in the local node.