In the context of time-series data modeling, a single table design is considered easy to use, but may be challenging to implement due to the need to delete data without affecting the entire dataset. This approach can lead to complexities such as data retention and compliance with regulations like GDPR or CCPA. On the other hand, multiple table designs offer benefits like easier deletion of data and separation of customer-specific data, but require more planning and management, especially when it comes to querying, upgrading, and migrating tables. The choice ultimately depends on the specific use case and requirements, with no one-size-fits-all solution. It is recommended to consider future-proofing and flexibility when designing a hypertable database schema.