Why developers leave Redis: 2024 license change pushed OSS users to evaluate Valkey fork, memory cost is real (Redis is RAM-priced not disk-priced), and vector search performance below dedicated vector DBs. Teams whose Redis use was caching/sessions are mostly staying; teams using it for vector or pub/sub at scale evaluate alternatives.
MongoDB Atlas is included for teams using Redis as a JSON document store via RedisJSON — MongoDB is the right structural primitive. Wrong alternative for caching/session use cases.
Turso is included for teams using Redis for low-latency reads at the edge — Turso's edge-replicated SQLite delivers sub-10ms reads globally. Different consistency model; right alternative when read latency was the actual concern.
Yes — functionally identical to Redis at fork point. Reviewer cohorts growing. For new deployments where the 2024 license change matters, Valkey is the natural choice. Existing Redis infrastructure usually stays put for migration cost reasons.
For very high-throughput workloads. Multi-threaded architecture handles workloads single-threaded Redis struggles with. Trade-off: smaller community, fewer drivers, less mature ops tooling. Worth evaluating at >100K ops/sec; usually not needed below.
For most teams Redis sessions are fine. Postgres-backed sessions work for teams optimizing for fewer infrastructure components. The performance difference matters mostly at high scale; below 10K active sessions Postgres handles it without trouble.
