A multi-model database is useful only if its queries and operations fit your application. SurrealDB combines document and graph-style relationships, but replacing an established database should start with a narrow, reversible workload.
Model one real entity and its relationships using SurrealDB's data-model guidance. Load representative records and run your read, write, search, and permission checks. Measure latency at realistic concurrency, then test schema evolution and index maintenance. Compare the result with the system you already know rather than an artificial microbenchmark.
Before migration, verify the deployment model available to you, backup/export procedures, restore time, and client SDK behavior. SurrealDB's features and supported clustering modes depend on deployment choice, so document the exact edition and version. Keep an application-level rollback until you can restore a production-shaped snapshot successfully.
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