Database schema changes present a unique challenge in application delivery, often slowing down the process due to the need for maintaining data integrity, manual processes, and approval bottlenecks. Unlike application code changes, schema changes are complex because they must ensure data consistency, such as when splitting a column into two without losing data. This complexity can be managed by automating the deployment process and integrating schema changes into CI/CD pipelines using tools like Liquibase or Flyway, which help reduce errors and speed up approvals. Additionally, adopting a DevOps approach, where development and database administration teams collaborate closely, can streamline the approval process and ensure early testing of database changes. Poorly optimized schema changes can degrade performance, and manual processes can be error-prone, further complicating the process. Strategies to mitigate these issues include automating deployments, implementing version control for database changes, and fostering collaboration to accelerate application delivery while maintaining database integrity. Stephen Atwell, who leads Harness's Database DevOps product, emphasizes the importance of addressing these challenges and invites participation in refining their solution through a public beta.