The integration database pattern, which integrates services and clients through a shared database, has seen a resurgence in popularity as modern architectures like microservices and serverless computing have led to increased complexity and operational burdens. However, this approach also offers benefits such as easier evolution of services independently, security and schema constraints enforcement, and scalability management per-service. In contrast, traditional service-oriented patterns have downsides including backwards compatibility issues, slower and less reliable applications, and duplicated data leading to synchronization problems. The integration database pattern can be improved upon by leveraging serverless technologies like Fauna, which provides a scalable and transactional database that allows for low-latency access, centralized access control and schema constraints management, and programmable API responses through GraphQL. By integrating services and clients through the database, developers can reduce complexity and maintenance costs while minimizing operational burdens.