Offset-Based Deep Paging vs Keyset Cursor Traversal for Large Hibernate Datasets

When exposing a large Hibernate-managed dataset through a paginated API, the choice between offset-based navigation using setFirstResult and setMaxResults and keyset-based traversal using a monotonic identifier creates a direct trade-off between random deep-page access and predictable latency. Offset pagination preserves the ability to jump to arbitrary page numbers, but the underlying SQL scan cost grows linearly with the offset value, making deep pages progressively slower. Keyset pagination replaces the offset with a WHERE id > :lastSeenId predicate to achieve constant-time fetches, yet it removes the ability to jump directly to a distant page without first traversing intermediate cursors.

The uncertainty is amplified by persistence-provider and database specifics. Hibernate 5 and 6 can differ in how fetch plans interact with limit and offset clauses, potentially altering row counts or performance characteristics. Vendor dialects may also rewrite LIMIT/OFFSET semantics in ways that introduce subtle discrepancies across backends. Before committing to either strategy, it is unclear whether the ordering column is guaranteed to be unique and indexed, and whether the application truly requires random access to deep pages or only sequential traversal.

Given these constraints, which pagination model better balances deep-page latency with API usability for a large Hibernate dataset? How should the ordering column and dialect-specific limit/offset behavior be validated to ensure consistent row counts across supported database versions?