In cloud-based multitenant architectures, the "noisy neighbor" problem arises when one tenant's excessive use of shared resources, such as CPU, memory, or disk I/O, degrades performance for other tenants. Traditional solutions like AWS RDS struggle with this issue due to resource contention, prompting strategies like query limits, connection pooling, and workload segregation. However, these approaches often lead to operational complexity and inefficiency. Neon offers a more efficient solution by providing database-per-tenant isolation, decoupling compute and storage, and implementing autoscaling to ensure resource usage aligns with demand. This architecture minimizes contention, allowing tenants to scale resources independently, thus maintaining performance without the drawbacks of over-provisioning or operational burden. By aligning costs with actual usage, Neon effectively addresses the noisy neighbor problem, making it a promising solution for SaaS providers seeking to optimize their multitenant applications.