Databricks Delta Lake uses optimistic concurrency control to manage concurrent writes from multiple streaming jobs. If two jobs try to modify conflicting data at the same time, one transaction succeeds while the other detects a conflict, fails validation, and automatically retries when possible. Non-conflicting appends usually succeed concurrently, but overlapping updates, merges, or deletes can trigger transaction conflicts and job retries.