Choosing Between Offset and Keyset Pagination in Hibernate for Low-Traffic Workloads

When designing a data retrieval layer using Hibernate, the choice of pagination strategy impacts both database resource consumption and API flexibility. For low-traffic workloads, the primary goal is to balance implementation simplicity with long-term performance stability as datasets grow.

Offset-based pagination, implemented via setFirstResult() and setMaxResults(), allows users to jump to arbitrary page numbers. However, this approach requires the database to scan and discard rows as the offset increases. Conversely, keyset pagination (the seek method) filters results based on the last seen primary key, avoiding the overhead of deep paging but removing the ability to access specific page indices.

Given a scenario where the dataset is subject to frequent updates but traffic remains low, it is unclear which strategy minimizes total resource overhead without introducing significant architectural complexity.

• Does the performance degradation of offset-based pagination become a bottleneck in low-traffic environments before the complexity of keyset tracking is justified?
• Which strategy better handles data consistency when records are inserted or deleted between page requests?