MySQL vs Redis: Database Comparison for 2026

Compare MySQL and Redis for your data storage needs. MySQL is a relational database for structured data, while Redis is an in-memory data store for caching and real-time applications.

Updated 2026-09 · 2026

MySQL

Open-source relational database management system

Freeself-hosted

Strengths

+Mature ACID-compliant relational database with strong data integrity
+Complex query support with SQL and JOIN operations
+Persistent storage with reliable data durability

Weaknesses

-Slower performance compared to in-memory databases
-Vertical scaling limitations for very high traffic
-Schema changes can be complex on large datasets

Best for

Applications requiring persistent structured data, complex queries, transactions, and data integrity guarantees

Redis

In-memory data structure store for caching and real-time apps

Freeself-hosted

Strengths

+Extremely fast in-memory operations with sub-millisecond latency
+Versatile data structures (strings, hashes, lists, sets, sorted sets)
+Built-in pub/sub messaging and stream processing

Weaknesses

-Limited by available RAM, can be expensive at scale
-No native support for complex queries or JOINs
-Data persistence is optional and less durable than disk-based databases

Best for

Caching layers, session management, real-time leaderboards, message queues, and high-speed data access patterns

Feature Comparison

Feature	MySQL	Redis
Data Model	Relational (tables, rows, columns)	Key-value with data structures
Storage	Disk-based persistent storage	In-memory with optional persistence
Query Language	SQL with complex queries and JOINs	Simple commands, no SQL
Performance	Good for complex queries, slower reads	Sub-millisecond latency, extremely fast
Transactions	Full ACID compliance	Basic transactions, not ACID-compliant
Scalability	Vertical scaling, read replicas	Horizontal scaling with clustering
Data Durability	High durability, persistent by default	Optional persistence, risk of data loss
Use Case	Primary database for applications	Caching, sessions, real-time data
Memory Requirements	Low, uses disk primarily	High, entire dataset in RAM
Data Relationships	Foreign keys, complex relationships	No built-in relationships
Replication	Master-slave, group replication	Master-replica, Redis Sentinel
Licensing	GPL (open source)	AGPLv3 as of Redis 8 (source-available under RSALv2/SSPLv2 from 2024-2025, reverted to open source)

The Verdict

MySQL and Redis serve fundamentally different purposes and are often used together rather than as alternatives. Use MySQL as your primary database when you need persistent, structured data with complex queries and strong consistency. Use Redis for caching, session storage, real-time features, or as a complement to MySQL to speed up read-heavy operations. Most production applications benefit from using both: MySQL for durable data storage and Redis for performance optimization.

How to switch from MySQL to Redis

1Export your MySQL data using mysqldump (produces a .sql file with schema and INSERT statements) or the mysql client with --tab to generate per-table CSV/TSV files.
2Write a migration script (Python or Node.js) that reads the exported SQL/CSV data and converts each row into a Redis data structure, such as a hash keyed by table name and primary key, or a JSON string if you plan to use RedisJSON.
3Bulk-load the transformed data into Redis using redis-cli --pipe for fast batch inserts, or write individual HSET/SET commands via a client library for smaller datasets.
4Rebuild any logic that relied on SQL JOINs or complex queries as application-level code, since Redis has no native relational querying - use RediSearch or RedisJSON modules if you need secondary indexing.
5Update backups and monitoring integrations: replace mysqldump-based backup jobs with Redis RDB/AOF snapshots, and swap mysqld_exporter for redis_exporter if you use Prometheus/Grafana.
6Run Redis alongside MySQL in parallel during a transition period, validate data consistency, then switch your application config to point at Redis and decommission the MySQL instance once the team confirms everything works.

MySQL vs Redis: common questions

How do I export data from MySQL to migrate to Redis?+

Use mysqldump to create a full SQL export, or run SELECT queries with the mysql client's --tab option to output CSV/TSV files per table. Since Redis has no relational schema, you'll then need a script to transform that exported data into Redis key-value pairs, hashes, or JSON strings before loading it.

What do I lose by moving data from MySQL to Redis?+

You lose SQL queries, JOINs, foreign key constraints, and full ACID transactions - Redis has no built-in way to enforce relationships between data. You also lose guaranteed durability by default, since Redis persistence (RDB/AOF) is optional and configured separately, unlike MySQL's disk-backed storage.

Is Redis's free self-hosted version enough for a small team?+

Yes, self-hosted Redis has no licensing cost and handles caching, sessions, and real-time features well for small teams. The main constraint is RAM, since your entire dataset must fit in memory, so cost comes from server sizing rather than software fees.

Does Redis integrate with the tools and ORMs we already use?+

Most languages have mature Redis client libraries (redis-py, node-redis, Jedis, StackExchange.Redis) and frameworks have built-in cache backends (Django cache, Rails.cache) that work with Redis out of the box. It doesn't plug into SQL-based ORMs or BI tools directly, so you'll need to export data elsewhere for reporting or write custom integration code for anything beyond simple caching.

How does the cost of Redis compare to MySQL over time as we scale?+

Self-hosted Redis stays free in licensing cost, but RAM is more expensive per GB than the disk storage MySQL relies on, so memory costs grow faster as your dataset scales. If you use a managed option like Redis Cloud, pricing scales with memory usage and can exceed a comparably sized managed MySQL instance for large datasets.