Kubernetes, known for its scalability and efficiency in managing microservices, presents challenges when it comes to orchestrating databases due to their stateful nature. While orchestration easily handles stateless services by replacing failed instances with new ones, databases require careful coordination because their replicas are not interchangeable and have unique states. To address these challenges, Kubernetes offers StatefulSets and DaemonSets, which allow databases to run within Kubernetes environments by providing persistent identities and dedicated resources. StatefulSets ensure consistent network identities and disk persistence across restarts, benefiting from remote persistent disks, while DaemonSets allocate specific nodes to run databases, minimizing resource contention but limiting dynamic rescheduling. Although running databases in Kubernetes can slightly affect performance, these tools offer viable solutions for integrating databases with Kubernetes' infrastructure. However, the choice between using StatefulSets or DaemonSets involves trade-offs between flexibility and resource management, with performance implications and potential limitations in handling failures.