Migration guide
Redis to Aerospike: your migration guide
What you'll learn
Redis works well for lightweight caching and quick prototypes. But as your system grows, with more data, more users, and tighter uptime requirements, its architecture starts to show its limits. DRAM costs climb, vertical scaling stalls, and clustering becomes fragile. When predictable performance matters, you need a data layer built for it.
This guide gives you a clear, practical path from Redis to Aerospike. You'll understand the architectural tradeoffs, map your data models across, replace Redis commands with Aerospike equivalents, and migrate your data without friction, so you can run confidently at scale in production.
Key highlights
Understand why teams migrate: horizontal scale, in-memory performance with SSD persistence, strong consistency, and predictable behavior under real production load
Map Redis strings, hashes, sets, and sorted sets to Aerospike's multi-bin records, lists, and maps with confidence
Replace Redis commands using single-record design, server-side Complex Data Types (CDTs), and atomic operate() calls that scale cleanly
Move structured data without friction using Aerospike's Redis Data Migrator and YAML mapping strategies
Learn what Aerospike deliberately leaves out, including blocking operations and Pub/Sub, and adopt scalable, production-grade patterns instead