A distributed database cannot be evaluated with a generic insert benchmark alone. ScyllaDB performance depends heavily on partition keys, query patterns, and operational topology.
Model one production-shaped table using ScyllaDB's data-model guidance. Load realistic partitions, including skewed keys and large rows. Measure reads, writes, and tail latency under the expected replication and consistency settings. Test node failure, repair, backup, restore, and a schema change while traffic continues.
Compare infrastructure cost and operator effort with the current database. Check client-driver compatibility and how application queries would change. A successful pilot should document partition hot spots, recovery time, and a rollback path—not only peak operations per second.