MySQL vs Redis for Solo Developers

Quick Comparison

MySQL Overview

MySQL is the relational database that powers most of the web. It stores data in tables with defined schemas, enforces relationships with foreign keys, and handles everything from simple CRUD operations to complex queries with joins and aggregations. Every web framework, every hosting provider, and every tutorial supports MySQL.

For a solo developer, MySQL is the dependable workhorse. It writes your data to disk, guarantees ACID compliance, handles concurrent users, and keeps your information safe through crashes and restarts. Whether you are building a blog, an e-commerce store, or a SaaS application, MySQL holds your persistent data reliably.

Redis Overview

Redis is an in-memory data store built for speed. It operates at sub-millisecond latency because everything lives in RAM. Redis supports specialized data structures: strings, hashes, lists, sets, sorted sets, streams, and more. Each structure maps naturally to common application problems.

You use Redis for caching database queries (turn a 200ms query into a 1ms cache hit), storing user sessions (fast authentication checks), managing job queues (background processing with Sidekiq, BullMQ, or Celery), rate limiting APIs, and powering real-time features like leaderboards and pub/sub messaging.

Redis is not typically your primary database. It is the performance layer that sits alongside your primary database and handles the things that need to be blazing fast.

Key Differences

These solve fundamentally different problems. MySQL is your system of record. It stores users, orders, content, and everything that needs to persist reliably. Redis is your speed layer. It caches expensive queries, manages sessions, and handles ephemeral data that needs to be fast. Most production applications use both together.

Data durability is the core tradeoff. MySQL writes to disk with full ACID guarantees. If your server loses power, your data is safe. Redis stores everything in memory. While it supports persistence (RDB snapshots and AOF logging), it is designed for speed first and durability second. If Redis loses data, you regenerate it from MySQL.

Query capabilities are in different universes. MySQL supports SQL with joins, subqueries, aggregations, GROUP BY, window functions, and complex WHERE clauses. Redis has no query language in the traditional sense. You access data by key or use data-structure-specific commands. Need to find all users in a city who signed up last month? MySQL handles this natively. Redis does not.

Memory vs. disk economics. MySQL stores data on disk. A million rows of user data might use a few gigabytes of disk space, which costs pennies. Redis stores everything in RAM. The same data in Redis costs significantly more because RAM is expensive. For a solo developer, this means Redis is for hot data (frequently accessed, small-ish) and MySQL is for everything.

Setup complexity differs by use case. MySQL is a standalone database. You install it, create tables, and start querying. Redis alongside MySQL means running two data stores, managing two connections, implementing cache invalidation logic, and handling the consistency between them. This added complexity is worth it for performance-critical applications but unnecessary for simple ones.

By the Numbers (2026)

Here is where each project actually stands as of late May 2026, with everything pulled from the official sources listed at the bottom of this post.

Versions and release cadence. MySQL ships on a dual track of Innovation and Long-Term Support releases. The current LTS is MySQL 9.7, which reached general availability on April 21, 2026, with premier support running through April 2034. The previous LTS, MySQL 8.4, is still supported and got its latest patch, 8.4.9, on April 7, 2026. Redis moves faster. Redis 8.8 became the latest stable release on May 25, 2026, with 8.6 (February 11, 2026) and 8.4 (November 18, 2025) right behind it. Redis keeps the latest stable plus two prior versions in support, so the window is shorter than MySQL's multi-year LTS promise.

Licensing. This is the one that bites people. MySQL Community Edition is GPLv2. Redis changed its license starting with version 8.0 to a tri-license of RSALv2, SSPLv1, or AGPLv3 at your option. For a solo developer running Redis on your own server for your own app, none of these are a problem. The license change mostly matters to companies that want to resell Redis as a managed service, which is why the Valkey fork exists (more on that below). For your side project, both are free to use.

Adoption signals. On GitHub, the redis/redis repository sits at 74,579 stars and 24,637 forks, while the official mysql/mysql-server mirror has 12,267 stars and 4,276 forks. Stars are a popularity vanity metric more than a quality one, and MySQL predates GitHub by over a decade so its real footprint is far larger than the star count suggests, but the gap still tells you Redis has strong open-source mindshare. The npm client numbers are a cleaner read on day-to-day usage in the JavaScript world. In the week of May 21 to 27, 2026, the ioredis client pulled 18.4 million downloads and the official redis client pulled 9.8 million, while the mysql2 driver pulled 10.7 million and the older mysql driver pulled 1.3 million. Both ecosystems are enormous and actively maintained.

The Valkey wedge. After the 2024 Redis license change, the Linux Foundation backed a BSD-licensed fork called Valkey, which now sits at 25,937 GitHub stars. Several managed providers switched their "Redis-compatible" caching products to Valkey under the hood. For a solo developer this is mostly invisible because Valkey speaks the same protocol and your client library does not care, but it is worth knowing that the cheap managed cache you rent might be Valkey rather than Redis proper.

Real Cost at Solo-Dev Scale

Self-hosted, both are free. The interesting comparison is what you pay once you stop wanting to babysit servers and reach for a managed tier. Here is a worked example for a realistic small SaaS or content site.

Assumptions. One solo developer. A primary database holding maybe a few hundred thousand rows of users, content, and orders, comfortably under 10 GB. A cache layer holding hot data such as sessions, a few thousand cached query results, a rate-limit counter set, and a small job queue, all of which fit well under 250 MB of RAM. Single region, single node, no high-availability replica (a solo project usually does not need one on day one).

Option A, fully managed, separate services. A DigitalOcean managed MySQL database starts at $15.15 per month for the 1 GiB RAM / 1 vCPU / 10 GiB disk tier. For the cache, the cheapest dedicated managed option is Redis Cloud Essentials at $5 per month (billed at $0.007 per hour) for a 250 MB single database. DigitalOcean also sells managed Caching on a Valkey engine, but its smallest single-node tier is $15 per month for 1 GiB, so for a small cache the Redis Cloud Essentials tier is the cheaper of the two. Pairing managed MySQL with Redis Cloud Essentials lands you at roughly $15.15 + $5 = about $20 per month. That is your "I never want to manage a database" price.

Option B, free cache tier while you validate. Redis Cloud has a genuinely free tier of 30 MB on shared infrastructure. For an early project, 30 MB holds a lot of sessions and counters, so your cache can cost $0 until you outgrow it. Keep MySQL managed at $15.15 per month and your total stays around $15 per month, with the cache effectively free until traffic grows.

Option C, self-host both on one box. A single small VPS runs MySQL and Redis side by side. DigitalOcean's basic droplets start at $4 per month, and one of those can comfortably host both for a low-traffic app. This is the cheapest path and the one most solo developers actually take early on. The tradeoff is that you own backups, upgrades, and the 3am restart, which is exactly the work the $15 to $20 managed tiers exist to remove.

The headline is that adding Redis to a MySQL stack does not have to cost much. The free 30 MB Redis Cloud tier or a $5 managed cache means the speed layer is the cheap part of your bill. The primary database, managed, is the line item that matters.

When to Choose MySQL

• You need a primary database for persistent data storage
• You want relational data modeling with joins and foreign keys
• You are building a standard web application (CRUD, user management, content)
• You need complex queries and reporting
• You are using PHP/Laravel or WordPress

When to Choose Redis

• You need sub-millisecond caching for slow database queries
• You want fast session storage for authenticated users
• You need a job queue for background processing
• You are building real-time features (leaderboards, live counters, pub/sub)
• You need rate limiting on API endpoints

The Verdict

MySQL and Redis are partners, not competitors. Start with MySQL as your primary database. It handles all your persistent data reliably and efficiently. When your application grows and you need caching, background jobs, or real-time features, add Redis as a complement.

For a solo developer just starting out, MySQL alone is perfectly fine. Adding Redis too early introduces complexity (cache invalidation, two data stores to manage) without meaningful benefit. But when you feel the pain of slow queries, need background job processing, or want real-time features, Redis is the tool that solves those problems elegantly. The most common production architecture in the world is a relational database plus Redis, and for good reason.

Sources

All figures above were fetched and checked on 2026-05-29.

• MySQL release timeline, LTS dates, and licensing: endoflife.date/mysql
• MySQL 9.7 LTS general availability and release-model details: InfoQ, MySQL 9.7 First Major LTS Since 8.4
• MySQL GitHub stars and forks (mysql/mysql-server): github.com/mysql/mysql-server
• mysql2 npm weekly downloads: api.npmjs.org last-week mysql2
• Redis release timeline and licensing change (tri-license since 8.0): endoflife.date/redis
• Redis release notes and version history (redis/redis stars and forks): github.com/redis/redis/releases
• ioredis and redis npm weekly downloads: api.npmjs.org last-week ioredis, api.npmjs.org last-week redis
• Redis Cloud free 30 MB tier and Essentials $5/mo pricing: redis.io/pricing
• DigitalOcean managed MySQL ($15.15/mo) and Caching/Valkey ($15/mo) pricing: digitalocean.com/pricing/managed-databases
• DigitalOcean droplet base pricing for the self-host option: digitalocean.com/pricing/droplets