Best Database Options for Side Projects in 2026

April 9, 2026 · DevOps, Databases, Side Projects

Side projects fail for boring reasons: flaky hosting, surprise bills, and slow iteration. The database choice drives all three. In 2026 you can ship with a single-file database, a serverless Postgres, or a fully managed document store and never touch ops. This guide focuses on the practical trade-offs that matter for small projects: cost, setup time, scaling ceiling, and how hard it is to switch later.

Quick rule: start with the simplest database that meets your data model and query needs. Complexity grows faster than revenue, so avoid infrastructure you don’t need.

Decision framework (5 questions)

• Data shape: relational tables, documents, key-value, or graphs?
• Read/write pattern: mostly reads, bursts, or steady writes?
• Deployment style: local-only, single server, or serverless?
• Budget: true $0, or willing to pay $5–$25/month?
• Exit strategy: will you need to migrate to Postgres/MySQL later?

Option 1: SQLite (fastest path to shipping)

SQLite is a single file on disk. It’s absurdly reliable, supports ACID transactions, and handles more scale than most side projects ever reach. If your app runs on one server or you can serialize writes, SQLite is the fastest path to a working product.

Best for

• Solo or early-stage apps
• Internal tools and prototypes
• Low-write workloads (or single-writer)

Why it works

• No server to run
• Simple backups (copy the file)
• Great performance for reads

Example: SQLite with Node.js

import sqlite3 from "sqlite3";

const db = new sqlite3.Database("./app.db");

// Create table
await db.exec(`
  CREATE TABLE IF NOT EXISTS users (
    id TEXT PRIMARY KEY,
    email TEXT UNIQUE,
    created_at TEXT
  );
`);

// Insert
await db.run(
  "INSERT INTO users (id, email, created_at) VALUES (?, ?, ?)",
  "usr_123", "dev@example.com", new Date().toISOString()
);

// Query
db.all("SELECT * FROM users", (err, rows) => {
  if (err) throw err;
  console.log(rows);
});

When to avoid: multiple app servers writing concurrently, or if you need horizontal scaling.

Option 2: Postgres (the default for most serious side projects)

Postgres is the industry workhorse: relational structure, JSON support, full-text search, and extensions. If you expect growth, Postgres is the safest long-term bet. In 2026 you can run it serverless via Neon or use a full backend platform like Supabase.

Best for

• SaaS projects with relational data
• Apps needing transactions and constraints
• Future-proofing and easy hiring

Example: Postgres with SQL migration

CREATE TABLE projects (
  id UUID PRIMARY KEY,
  name TEXT NOT NULL,
  owner_email TEXT NOT NULL,
  created_at TIMESTAMPTZ DEFAULT NOW()
);

CREATE INDEX idx_projects_owner ON projects(owner_email);

Why Postgres stays simple

• Great local dev with Docker
• One logical database for relational + JSON
• Easy migration from SQLite if you start small

Cost note: managed Postgres is often $0 to start, then ~$15–$29/month for a stable small instance.

Option 3: MySQL (solid, common, and cheap to host)

MySQL is a durable choice with enormous ecosystem support. It’s popular for PHP/Laravel and classic web stacks. If your hosting or framework favors MySQL, it’s still a strong option.

Example: MySQL table with strict types

CREATE TABLE orders (
  id CHAR(36) PRIMARY KEY,
  user_id CHAR(36) NOT NULL,
  total_cents INT NOT NULL,
  status ENUM('pending','paid','shipped') NOT NULL,
  created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);

When to pick MySQL: you’re on Laravel/WordPress, want cheap shared hosting, or need PlanetScale-style branching workflows.

Option 4: MongoDB (document-first, flexible schemas)

MongoDB excels when your data is naturally document-shaped or rapidly changing. If you’re building something with a flexible schema (e.g., profiles with nested fields), MongoDB can speed up iteration.

Example: MongoDB document

// users collection
{
  _id: "usr_123",
  email: "dev@example.com",
  plan: "pro",
  preferences: {
    theme: "dark",
    emailUpdates: true
  },
  createdAt: ISODate("2026-04-09T18:30:00Z")
}

Downside: complex relational queries and transactions are harder than in Postgres.

Option 5: Redis (fast cache or primary for tiny data)

Redis is an in-memory data store. It’s perfect for caching, leaderboards, rate limiting, and ephemeral data. For ultra-small projects, Redis can even be the primary database if you accept data loss risks or persist snapshots.

Example: Redis for rate limiting

const key = `ratelimit:${ip}`;
const count = await redis.incr(key);
if (count === 1) await redis.expire(key, 60);
if (count > 100) throw new Error("Too many requests");

Option 6: Serverless + Edge databases (modern and low-ops)

In 2026, serverless databases are good enough for most side projects. They scale down to zero, bill per usage, and reduce ops to nearly zero. The trade-off is latency variance and vendor-specific limits.

Popular serverless paths

• Neon (Postgres): great developer experience, branching, free tier.
• Supabase (Postgres + auth): full backend platform with storage and auth.
• PlanetScale (MySQL): branching workflow, excellent for teams.
• Firebase/Firestore: strong for mobile + real-time sync.

Quick comparison table (plain English)

• SQLite: fastest setup, zero ops, limited concurrency.
• Postgres: best all-around, strong SQL, scales well.
• MySQL: widely supported, cheaper hosting, solid choice.
• MongoDB: flexible schema, quick iteration, weaker relational joins.
• Redis: extreme speed, mostly for caching or tiny data.
• Serverless DBs: minimal ops, costs can spike with scale.

Migration strategy: start simple, escape cleanly

The best database is the one you can migrate away from. Keep your data access layer thin and avoid vendor-only features unless they unlock a real advantage. A practical pattern:

• Use UUIDs for primary keys (generate with the UUID Generator).
• Keep JSON fields portable (validate with the JSON Formatter).
• Store URLs encoded safely (test with the URL Encoder).

Example: portable data access (TypeScript)

export interface User {
  id: string;
  email: string;
  createdAt: string;
}

export async function createUser(db: any, user: User) {
  // This stays nearly identical across SQLite/Postgres/MySQL
  await db.run(
    "INSERT INTO users (id, email, created_at) VALUES (?, ?, ?)",
    user.id,
    user.email,
    user.createdAt
  );
}

What most side projects actually need

Most side projects have modest data volume and predictable traffic. For 90% of cases:

• Choose SQLite if you want zero ops and single-server deployment.
• Choose Postgres if you expect growth, external users, or richer queries.
• Choose serverless Postgres if you want no maintenance and predictable billing.

Practical hosting tips (2026)

• Set daily automated backups immediately.
• Use read replicas only when you have real read pressure.
• Pin your ORM version (breaking changes are common).
• Keep data migrations in your repo with a single command to run.

FAQ

• Is SQLite safe for production? SQLite is production-safe for single-server or low-concurrency apps and is used by many shipping products.
• Which database is cheapest long-term? SQLite is the cheapest long-term option because it has no hosting cost beyond your server.
• Should I use serverless Postgres? Serverless Postgres is a great default in 2026 when you want low ops and a familiar SQL stack.
• Is MongoDB faster to build with? MongoDB is faster to iterate when your schema changes often and your data fits naturally as documents.
• What’s the easiest database to migrate later? Postgres is the easiest to migrate from because it supports standard SQL and tooling everywhere.