Turso Free Tier 2026 — SQLite at the Edge with 100 Free Databases

Most databases treat your data as a shared resource — one big Postgres instance, one connection pool, one point of failure. Turso flips that model on its head. What if every user, every tenant, every agent got their own SQLite database file — deployed at the edge, synced locally, and costing exactly $0 to start?

That’s the promise of Turso: an edge-native, SQLite-compatible database that treats each database as a lightweight file, capable of being spun up in milliseconds and replicated globally. And its 2026 free tier is the most generous entry point to this architecture.

This guide covers what Turso is, exactly what you get for free, how to maximize every byte of it, and where it fits alongside Neon and Supabase.

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What is Turso?

Turso is an open-source, SQLite-compatible database rewritten from scratch in Rust. It was originally built on libSQL — the open-source fork of SQLite — but the team has since evolved Turso Database into its own engine, purpose-built for the edge, multi-tenancy, and AI agent workloads Turso Docs: libSQL vs Turso Database.

The core architectural insight is simple but radical: instead of running one big database server and sharding it, Turso lets you create millions of tiny, isolated database files. Each one is a full SQLite-compatible database that can be:

• Created instantly (sub-second)
• Replicated to edge locations worldwide
• Synced to a local file on a device or server as an embedded replica
• Accessed over HTTP (no connection pool, no persistent TCP)
• Used from browsers via WebAssembly and OPFS FreeTier.co: Turso free tier

This many-database architecture is a natural fit for multi-tenant SaaS: each customer gets their own database, so noisy neighbors can’t slow you down, and tenant isolation is built into the data layer itself.

Turso’s key features include embedded replicas (local SQLite files that sync with the cloud primary), vector search for AI/RAG workloads, database branching for development workflows, and point-in-time restore Turso Blog: Databases Will Be Free.

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What’s in the Free Tier

Turso’s free tier is generous by any measure — especially given that each database is a fully isolated SQLite instance, not a row in a shared table.

Limit	Free Tier
Databases	100
Total storage	5 GB
Rows read per month	500 million
Rows written per month	10 million
Embedded replica syncs per month	3 GB
Point-in-time restore	1 day
Credit card required	No

Sources: Turso Pricing, FreeTier.co, SoloDevStack

Breaking down the numbers

100 databases is the standout limit. Most free-tier databases give you one database, maybe two. Turso gives you a hundred. For a multi-tenant app, that’s 100 users with fully isolated databases for $0. For an AI agent platform, it’s 100 agent memory stores, each with its own schema.

500M rows read / 10M rows written per month translates to roughly 16.4M reads and 328K writes per day. A typical SaaS app with 10,000 daily active users reading one row per request would burn through about 300K reads/day — well within the free tier.

3 GB of embedded replica syncs is the traffic allowance for syncing a local SQLite file with your cloud primary. Each sync pushes deltas, not full snapshots, so 3 GB goes further than it sounds.

1-day point-in-time restore means you can roll back any database to any second within the past 24 hours. Useful for recovering from accidental deletes or bad migrations.

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Free Tier Guide: How to Maximize It

1. Use the many-database architecture to your advantage

This is Turso’s superpower. Instead of one database with a tenant_id column, create one database per tenant. The Turso CLI makes this trivial:

turso db create tenant-acme-corp
turso db create tenant-beta-inc

Each database is isolated, independently scalable, and independently restorable. You can even branch a tenant’s database for staging:

turso db create staging-acme --from-db tenant-acme-corp

2. Use embedded replicas for local-first reads

Embedded replicas are Turso’s killer feature. Your app keeps a local SQLite file that syncs with the cloud. Reads hit the local file at zero latency — no network call. Writes go to the cloud primary and propagate back.

import { createClient } from "@libsql/client";

const db = createClient({
  url: "file:local.db",
  syncUrl: process.env.TURSO_DB_URL + "?jwt=" + process.env.TURSO_AUTH_TOKEN,
});

// Sync local replica with cloud
await db.sync();

// Read is instant — pure local SQLite
const users = await db.execute("SELECT * FROM users");

This is ideal for mobile apps, desktop apps, IoT devices, and edge functions where every millisecond counts. The free tier gives you 3 GB of monthly sync bandwidth, which covers deltas for most single-user or low-traffic apps Botmonster: Turso/libSQL guide.

3. Pair with Drizzle ORM

Drizzle ORM has first-class Turso support via the @libsql/client driver. You get type-safe SQL without the overhead of a heavyweight ORM:

import { drizzle } from "drizzle-orm/libsql";
import { createClient } from "@libsql/client";
import { sqliteTable, text, integer } from "drizzle-orm/sqlite-core";

const client = createClient({
  url: process.env.TURSO_DB_URL!,
  authToken: process.env.TURSO_AUTH_TOKEN!,
});

const db = drizzle(client);

const users = sqliteTable("users", {
  id: integer("id").primaryKey(),
  name: text("name"),
  email: text("email"),
});

const result = await db.select().from(users);

Drizzle’s schema inference and zero-dependency runtime make it a natural fit for edge environments where bundle size and cold-start time matter Turso Docs: Drizzle integration.

4. Use database branching for safe schema changes

Instead of running migrations directly on production, branch your database:

turso db create myapp-migration --from-db myapp-prod

Run your migration against the branch, test everything, then promote it or recreate production from the branch. Branches are copy-on-write, so they consume negligible storage until you modify data.

5. Monitor your usage

Turso tracks reads and writes at the row level. You can check your current usage via the Turso Dashboard or the CLI:

turso db usage my-database

If you’re approaching the 500M read limit, consider adding embedded replicas — reads on a local replica don’t count toward the row-read quota (only the sync bandwidth does).

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Getting Started

Let’s get a Turso database up and running in five minutes.

Step 1: Install the Turso CLI

# macOS (Homebrew)
brew install tursodatabase/tap/turso

# Linux
curl -sSfL https://get.tur.so/install.sh | bash

Source: Turso CLI Installation Docs

Step 2: Sign up and authenticate

turso auth signup

No credit card required. This opens a browser window to authenticate with your GitHub or Google account.

Step 3: Create your first database

turso db create my-first-db

You’ll get a database URL and an authentication token. Save both — you’ll need them to connect.

Step 4: Insert and query data

# Open the database shell
turso db shell my-first-db

# Create a table
CREATE TABLE posts (
  id INTEGER PRIMARY KEY AUTOINCREMENT,
  title TEXT NOT NULL,
  content TEXT,
  created_at TEXT DEFAULT (datetime('now'))
);

# Insert data
INSERT INTO posts (title, content) VALUES ('Hello Turso', 'My first edge SQLite database!');

# Query
SELECT * FROM posts;

Step 5: Connect from your app

npm install @libsql/client

import { createClient } from "@libsql/client";

const turso = createClient({
  url: process.env.TURSO_DB_URL!,
  authToken: process.env.TURSO_AUTH_TOKEN!,
});

const result = await turso.execute("SELECT * FROM posts");
console.log(result.rows);

That’s it. No connection pool, no connect(), no cleanup. The @libsql/client library works in Node.js, Bun, Deno, Cloudflare Workers, and the browser Turso TypeScript Quickstart.

Step 6 (optional): Set up an embedded replica for local-first reads

import { createClient } from "@libsql/client";

const db = createClient({
  url: "file:local-replica.db",
  syncUrl: process.env.TURSO_DB_URL!,
  authToken: process.env.TURSO_AUTH_TOKEN!,
});

// Initial sync
await db.sync();

// All subsequent reads hit the local file
const posts = await db.execute("SELECT * FROM posts");

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Where Turso Fits: Comparison with Neon and Supabase

Neon and Supabase are both already covered on StacksFree, and both are excellent free-tier Postgres providers. But Turso competes on a different axis.

Turso vs. Neon

Neon gives you serverless Postgres with branching, scale-to-zero, and 500 MB of storage on its free tier. Turso’s 5 GB is 10× more storage, and 100 databases is 100× more databases. But Neon gives you full Postgres features — JSONB, indexes, CTEs, window functions, PostGIS — all of which SQLite lacks or handles differently.

Choose Turso when: you need many small, isolated databases (multi-tenant SaaS, AI agent memory) and don’t need Postgres-specific features. The read performance of embedded replicas also handily beats any networked database for local-first apps.

Choose Neon when: you need Postgres features, complex query patterns, or Postgres-compatible tooling (pgvector, PostGIS, etc.).

Turso vs. Supabase

Supabase is Postgres with a generous free tier: 500 MB database, 2 GB bandwidth, 50,000 monthly active users for Auth, and 1 GB for Storage. Supabase adds a full backend platform (auth, realtime, storage, edge functions) on top of Postgres.

Choose Turso when: you want a lightweight, embeddable database without the overhead of a full backend platform. Turso’s embedded replicas give you local-first reads that Supabase can’t match — there’s no way to run Postgres inside a mobile app or browser.

Choose Supabase when: you need the full platform — auth, realtime subscriptions, file storage, and Postgres — out of the box.

When Turso wins outright

• Multi-tenant apps where each tenant needs a database: 100 databases on free tier vs. 1 on Neon/Supabase
• Local-first / offline-capable apps: Embedded replicas sync to a local SQLite file — neither Neon nor Supabase offers this
• Browser-based apps: Turso databases can run in the browser via WebAssembly and OPFS
• AI agents: Each agent gets its own memory database, isolated and independently syncable
• Read-heavy edge workloads: Zero-latency local reads on embedded replicas

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Pros & Cons

• “100 isolated databases on free tier — No other serverless database comes close. 100 fully isolated SQLite databases for $0 is a breakthrough for multi-tenant apps and AI agent platforms.”

• “Embedded replicas for local-first reads — Sync a local SQLite file with the cloud and get zero-latency reads. Works on servers, mobile devices, and even browsers via WebAssembly.”

• “First-class Drizzle ORM support — Type-safe SQL with schema inference, zero-dependency runtime, and seamless integration with @libsql/client.”

• “Generous row-read quota — 500 million rows read per month covers a production app with moderate traffic. Embedded replica reads don’t even count toward it.”

• “No credit card required — Start building immediately with zero friction and zero financial commitment.”

• “SQLite limitations apply — No row-level locking, no concurrent writes, no Postgres features like JSONB, CTEs, or window functions. Turso is not a Postgres replacement.”

• “10M row writes per month is tight — A write-heavy app (logging, analytics ingestion, high-frequency updates) will hit this limit quickly. The Developer plan at $5.99/mo removes this with unlimited databases.”

• “3 GB embedded syncs can be limiting — If you have large databases with frequent changes, the sync bandwidth burns fast. Each sync pushes deltas, but a busy multi-user app with embedded replicas will watch that 3 GB evaporate.”

• “1-day point-in-time restore only — Need to recover from a mistake that happened 48 hours ago? On the free tier, you can’t. Pro plan bumps this to 90 days.”

• “Smaller ecosystem than Postgres — Fewer tools, fewer extensions, fewer community resources. If you’re accustomed to the Postgres ecosystem, you’ll feel the difference.”

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Final Verdict

Turso’s free tier is the most architecturally interesting free database offering in 2026. While Neon and Supabase give you one Postgres database, Turso gives you 100 SQLite databases — each one a fully isolated, edge-deployed, locally-syncable file.

The model is perfect for multi-tenant SaaS (one database per customer), AI agents (one database per agent memory store), and local-first apps (embedded replicas for offline and zero-latency reads). The free tier’s 500M reads/month will sustain a production app with real traffic, and Drizzle ORM integration makes the developer experience genuinely pleasant.

The trade-offs are real — SQLite’s single-writer model won’t suit every workload, and the 10M writes/month limit bites for write-heavy apps. But for the read-heavy, many-database use cases Turso targets, nothing else at $0/month comes close.

Score Breakdown

Dimension	Score	Notes
Ease	9/10	CLI-first setup, five minutes to first query. No connection pool management.
Features	9/10	Embedded replicas, 100 databases, vector search, branching, point-in-time restore.
Performance	9/10	Zero-latency reads via embedded replicas. HTTP access avoids cold-start TCP overhead.
Docs	8/10	Well-organized docs with quickstarts, SDK references, and CLI guides. Some advanced topics are thin.
Support	8/10	Active Discord community and GitHub issues. No dedicated free-tier support SLA.

Overall: 9/10 — Turso’s free tier is generous, innovative, and perfectly targeted at a specific set of use cases that nothing else serves as well.

References

[1] Turso [2] libSQL [3] Turso Docs: libSQL vs Turso Database [4] FreeTier.co: Turso free tier [5] Turso Blog: Databases Will Be Free [6] Turso Pricing