Ask about your deployment
Record the engine, version, hosting model, database size and network path. A product’s supported-engine list does not prove support for every extension, managed-service restriction or unusual deployment. Use the vendor’s engine-specific documentation and your provider’s limits for the exact combination.
Keep methods separate
SimpleBackups documents engine-specific approaches rather than one universal archive. Do not compare a PostgreSQL logical dump with a Redis persistence snapshot as if they had identical recovery behavior. The buyer matrix should pair each engine with its backup artifact and restore requirement.
Test the awkward dependency
Choose a representative non-production database with the features that could break restoration: required roles, extensions or application assumptions. A tiny empty database proves little about those dependencies. Do not send production data to an evaluation environment without the necessary approval and controls.
Reject the wrong fit cleanly
If the documented method cannot cover a required recovery scenario, keep the existing supported route or evaluate another design. A convenient dashboard is not a reason to stretch a support statement. This guide does not claim that SimpleBackups supports every database or every recovery objective.
Turn a support claim into an acceptance question
Fictional workload: a PostgreSQL application relies on a particular extension and separately managed roles. A general PostgreSQL support statement is useful evidence for initial screening, but it does not establish that this exact target can reproduce those dependencies. Add the extension, role handling and target version to the evaluation brief. Obtain current documentation for the combination and test an approved representative fixture. If a required dependency remains unknown, keep that row unresolved rather than expanding a general support statement into a compatibility guarantee.
Sources used for this page
These records support the facts and comparisons above. Merchant-controlled records are labelled so you can separate product claims from independent evidence.
- SimpleBackups database backup overview — Merchant documentation · simplebackups.com · Merchant-controlled · checked 2026-10-01
- PostgreSQL: backup and restore — Platform documentation · postgresql.org · Merchant-controlled · checked 2026-10-01