Realtime Database restore verification: no built-in integrity check for restored data

Restore verification gap

Firebase Realtime Database backups can be restored to a new instance, but I need to confirm the recovered data matches the source. The restore creates a separate database instance rather than overwriting the original, and there appears to be no built-in checksum or hash validation for the backup files themselves. Manual comparison of row counts and key structures seems to be the only option, which is impractical for large datasets.

Constraints

Cross-project restores require manual reconfiguration of security rules, and CSV format backups may lose query indexes during restoration. Testing restore to a staging project before production deployment is possible but time-consuming. Large database restores can exceed browser timeout limits during upload, and recovery time has no SLA guarantees.

What is the recommended way to verify restored data integrity after a Realtime Database backup restore? Are there automated methods to compare the restored instance against the source, or is manual sampling the only option? Should the verification process include checks beyond row counts—such as validating security rules and query indexes?