Best Serverless Database APIs 2026

The Four Flavors of Serverless Databases

Every modern web application needs a database. In 2026, the question is no longer "SQL or NoSQL?" — it's "which serverless database matches my deployment model, stack requirements, and scaling expectations?"

Four platforms have emerged as the clear leaders for different use cases: Neon (serverless Postgres with git-like branching), PlanetScale (MySQL on Vitess for extreme scale), Turso (SQLite at the edge and everywhere), and Supabase (Postgres bundled with an entire backend platform).

Getting this decision right is a 2-year commitment. Getting it wrong means a painful migration at the worst possible time.

TL;DR

Neon is the best serverless Postgres for development workflows — instant branching, scale-to-zero, and affordable after Databricks-driven price cuts. PlanetScale is the choice for teams that need MySQL at YouTube scale with branching and zero-downtime schema changes. Turso is the edge-native choice for SQLite workloads, AI applications requiring embedded vector search, and multi-tenant architectures needing thousands of databases. Supabase is the full-stack choice when you want auth, storage, real-time, and Postgres in one platform.

Key Takeaways

• Neon dropped prices 15-25% after Databricks acquisition — Launch plan starts at $19/month with 300 compute hours and 10GB storage.
• Neon database branching creates instant copy-on-write database branches for development and testing — like git branches for your data.
• PlanetScale killed its free Hobby tier in April 2024 — plans now start at $39/month for Scaler Pro. No free option for early-stage projects.
• Turso's free tier includes 5GB storage, 100 databases, and 500M row reads/month — the most generous free tier in the market.
• Turso's embedded replicas let you run a Turso database inside your application process with automatic sync to the remote database — unique capability for low-latency reads.
• Supabase bundles Postgres, auth, storage, real-time, and edge functions in one platform at $25/month for Pro — the widest feature surface.
• All four platforms support the Postgres wire protocol in some form — but full Postgres compatibility varies significantly.

Pricing Comparison

Platform	Free Tier	Paid Starting
Neon	10 projects, 0.5GB/project, 100 compute-hours	$19/month (Launch)
Turso	3 databases, 1GB, 1B row reads	$4.99/month (Developer)
Supabase	2 projects, 500MB DB, 1GB storage	$25/month (Pro)
PlanetScale	None	$39/month (Scaler Pro)
Neon Scale	—	$69/month
Supabase Team	—	$599/month

Neon

Best for: Serverless Postgres, development workflows, scale-to-zero, CI/CD database branching

Neon separated storage and compute to enable two capabilities no other managed Postgres offers: true scale-to-zero (the database suspends when idle, resumes in milliseconds on connection) and instant database branching.

Architecture

Neon's compute layer runs PostgreSQL, while the storage layer is purpose-built for cloud-native Postgres. This separation enables:

• Compute scales from 0 to 16 vCPUs automatically
• Storage is shared via copy-on-write between branches
• Scale-to-zero eliminates idle database costs

Pricing (Post-Databricks)

After the Databricks acquisition in 2025, compute costs dropped 15-25%:

Plan	Monthly Cost	Compute Hours	Storage	Branches
Free	$0	100 CU-hours	0.5 GB/project	10
Launch	$19	300 CU-hours	10 GB	10 per project
Scale	$69	750 CU-hours	50 GB	25 per project
Business	$700	1,000 CU-hours	500 GB	Unlimited
Enterprise	Custom	Custom	Custom	Custom

Storage: $0.35/GB-month after included amount.

Database Branching — The Killer Feature

Neon branching works like git branching for your database. Create a branch, test schema changes or data migrations, verify everything works, then merge. No production downtime. No test data polluting production.

# Create a development branch from production
neon branches create --name feature/new-payment-schema

# Get connection string for the branch
neon connection-string feature/new-payment-schema

# Run migrations on the branch
DATABASE_URL=$(neon connection-string feature/new-payment-schema) npm run migrate

# Test thoroughly, then... the branch diverges from main only on writes
# Share storage with parent until data diverges

In CI/CD:

# GitHub Actions — unique database per PR
- name: Create Neon Branch
  uses: neondatabase/create-branch-action@v5
  id: create-branch
  with:
    project_id: ${{ env.NEON_PROJECT_ID }}
    branch_name: preview/pr-${{ github.event.pull_request.number }}

- name: Run migrations
  run: npm run migrate
  env:
    DATABASE_URL: ${{ steps.create-branch.outputs.db_url }}

# Branches are automatically cleaned up after PR close

This pattern — a fresh database branch per pull request — is one of the most impactful developer workflow improvements in the serverless database space.

Postgres Compatibility

Neon is full PostgreSQL. All extensions, stored procedures, triggers, and Postgres-specific features work. Connect with any Postgres client:

import { neon } from "@neondatabase/serverless";

const sql = neon(process.env.DATABASE_URL!);

// Full Postgres query support
const users = await sql`
  SELECT u.*, COUNT(o.id) as order_count
  FROM users u
  LEFT JOIN orders o ON u.id = o.user_id
  WHERE u.created_at > NOW() - INTERVAL '30 days'
  GROUP BY u.id
  ORDER BY order_count DESC
  LIMIT 10
`;

When to choose Neon

Next.js applications with Vercel, Cloudflare Workers, or any serverless platform; CI/CD pipelines that need database branching; applications with spiky traffic where scale-to-zero reduces costs; any team that wants full Postgres compatibility with serverless economics.

PlanetScale

Best for: MySQL at extreme scale, zero-downtime schema changes, Vitess infrastructure

PlanetScale runs on Vitess — the same horizontally sharded MySQL technology powering YouTube's database layer. At production scale (billions of rows, millions of queries per day), PlanetScale's Vitess foundation provides horizontal scalability that other serverless databases can't match.

The tradeoff: PlanetScale removed its free tier in April 2024. For early-stage projects, the $39/month minimum is a significant commitment.

Pricing

Plan	Cost	Storage	Row Reads	Row Writes
Scaler Pro (1 cluster)	$39/month	10GB	100B/month	50M/month
Scaler Pro (per cluster)	$39/cluster	Scaled	Scaled	Scaled
Enterprise	Custom	Custom	Custom	Custom

Note: No free tier. No trial without a credit card. The lack of a free tier makes PlanetScale difficult to recommend for projects that haven't validated their need for MySQL/Vitess.

The Vitess Advantage

PlanetScale's horizontal sharding scales data across multiple MySQL nodes transparently:

-- PlanetScale automatically shards by primary key
-- No application changes needed as data grows
SELECT * FROM orders WHERE user_id = 12345;

-- Scatter queries work, but are more expensive
SELECT COUNT(*) FROM orders;  -- Hits all shards

For applications that will genuinely reach hundreds of millions of rows with high read/write throughput, PlanetScale's infrastructure is purpose-built for this scale.

Zero-Downtime Schema Changes (Branch + Merge)

Like Neon, PlanetScale offers database branching — but for MySQL/Vitess:

# Create feature branch
pscale branch create mydb feature/add-columns

# Apply schema changes (no blocking locks)
pscale deploy-request create mydb feature/add-columns

# Review and approve the deploy request
pscale deploy-request deploy mydb [deploy-request-number]

Schema changes in PlanetScale use online DDL — table modifications happen without locking the table, eliminating production downtime for schema changes.

MySQL Compatibility Constraints

PlanetScale has MySQL-specific constraints developers need to know:

• No foreign key constraints in production (by design for sharding compatibility — use application-level constraints)
• MySQL syntax — not Postgres, not ANSI SQL
• Some Postgres-specific queries require rewriting

When to choose PlanetScale

Applications that will legitimately reach extreme scale (>100M rows, high write throughput), teams with MySQL expertise and tooling, applications that need horizontal sharding without managing Vitess directly.

Turso

Best for: SQLite at the edge, multi-tenant applications, AI/vector workloads, embedded databases

Turso takes SQLite global via libSQL — an open-source fork of SQLite written in Rust, adding distributed capabilities, vector search, and encryption while maintaining full SQLite compatibility.

The core insight: SQLite is the most deployed database in the world (runs on billions of devices), but it's traditionally limited to single-file, single-process use. Turso removes that limitation.

Pricing (2026)

Plan	Monthly Cost	Databases	Storage	Row Reads
Free	$0	3	1GB	1B/month
Developer	$4.99	500 (monthly active)	9GB	1B/month
Scaler	$24.92	2,500 (monthly active)	24GB	Scaled
Enterprise	Custom	Unlimited	Custom	Custom

The free tier is remarkable: 5GB storage, 100 databases (some sources list 3 active, 100 total), and 500M row reads/month.

Embedded Replicas — The Unique Capability

Turso's embedded replicas are unlike anything available in traditional serverless databases:

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

// Embedded replica: database runs IN your application process
// Reads are local (microseconds), writes sync to remote Turso
const db = createClient({
  url: "file:local.db",           // Local SQLite file
  syncUrl: process.env.TURSO_URL, // Remote Turso database
  authToken: process.env.TURSO_TOKEN,
  syncInterval: 60,               // Sync every 60 seconds
});

// Reads from local replica — sub-millisecond latency
const users = await db.execute("SELECT * FROM users LIMIT 100");

// Writes go to remote, propagate to all replicas
await db.execute("INSERT INTO users VALUES (?, ?)", ["Alice", "alice@example.com"]);

Use cases:

• Applications running in VMs or containers that want local database performance
• Mobile sync (device SQLite ↔ Turso cloud)
• Edge applications with local read replicas

Multi-Tenant Architecture

Turso's database-per-tenant model is its standout architectural pattern:

// Create a unique database for each tenant
const tursoClient = createTursoClient(process.env.TURSO_API_TOKEN);

async function createTenantDatabase(tenantId: string) {
  const db = await tursoClient.databases.create({
    name: `tenant-${tenantId}`,
    location: "ams",  // Amsterdam edge location
    seed: {
      type: "database",
      name: "tenant-template",  // Seed from schema template
    },
  });

  return db.hostname;
}

// Each tenant gets their own isolated database
// No shared tables, no query isolation concerns

At $4.99/month for 500 active databases, Turso enables multi-tenant architectures where data isolation and performance per tenant are paramount.

Native Vector Search

Turso includes vector search in libSQL without extensions:

-- Create a table with vector column
CREATE TABLE documents (
  id INTEGER PRIMARY KEY,
  content TEXT,
  embedding F32_BLOB(1536)  -- 1536-dimension embedding
);

-- Index for similarity search
CREATE INDEX documents_embedding_idx ON documents (libsql_vector_idx(embedding));

-- Semantic search
SELECT id, content, vector_distance_cos(embedding, ?) AS distance
FROM documents
ORDER BY distance
LIMIT 10;

This collocates your data and vectors in the same database — no separate vector database required for simpler applications.

When to choose Turso

Multi-tenant SaaS applications, edge computing with Cloudflare Workers, applications needing embedded replicas, AI/RAG applications wanting collocated vector search, or any scenario where thousands of SQLite databases makes sense.

Supabase

Best for: Full-stack applications, teams wanting one platform, Postgres + auth + storage + real-time

Supabase bundles a complete backend platform on top of Postgres: authentication, storage, real-time subscriptions, edge functions, and auto-generated REST and GraphQL APIs. For teams that want to avoid integrating multiple services, Supabase is the most comprehensive option.

Pricing

Plan	Cost	Storage	Database	Projects
Free	$0	1GB	500MB	2
Pro	$25/month	8GB	8GB	Unlimited
Team	$599/month	100GB	8GB+	Multiple
Enterprise	Custom	Custom	Custom	Custom

The Full-Stack Platform

import { createClient } from "@supabase/supabase-js";

const supabase = createClient(
  process.env.NEXT_PUBLIC_SUPABASE_URL!,
  process.env.NEXT_PUBLIC_SUPABASE_ANON_KEY!
);

// Authentication — built in, no separate service
const { user, error } = await supabase.auth.signInWithOAuth({
  provider: "github",
});

// Database with row-level security
const { data, error } = await supabase
  .from("posts")
  .select("*")
  .eq("user_id", user.id);

// File storage
const { data } = await supabase.storage
  .from("avatars")
  .upload("public/avatar.png", avatarFile);

// Real-time subscriptions
supabase
  .channel("posts")
  .on("postgres_changes", { event: "INSERT", schema: "public", table: "posts" }, handleNew)
  .subscribe();

This level of integration in a single SDK eliminates the need for separate auth (Auth0/Clerk), file storage (S3/R2), and real-time (Ably/Pusher) services — at $25/month for Pro.

Postgres Compatibility

Supabase is standard Postgres under the hood. Connect with any Postgres client, use any ORM (Prisma, Drizzle, Sequelize), and access all Postgres extensions (PostGIS, pgvector, etc.).

-- pgvector for vector search
CREATE EXTENSION vector;
CREATE TABLE embeddings (id BIGSERIAL PRIMARY KEY, content TEXT, embedding vector(1536));

-- Match documents by embedding
SELECT content, 1 - (embedding <=> $1) AS similarity
FROM embeddings
ORDER BY embedding <=> $1
LIMIT 10;

Supabase vs Neon

Both are serverless Postgres. The key difference:

• Neon is Postgres-only, optimized for scale-to-zero and database branching
• Supabase is Postgres plus an entire backend platform (auth, storage, real-time)

If you need the full platform, Supabase. If you only need Postgres, Neon is often simpler and has better branching.

When to choose Supabase

Full-stack applications needing auth + database + storage in one platform, teams that want to minimize service integrations, rapid prototyping of complete applications, applications with real-time requirements.

Decision Framework

Scenario	Recommended
Serverless Postgres, scale-to-zero	Neon
Dev workflow with database branching	Neon
Full-stack: auth + DB + storage + real-time	Supabase
MySQL at extreme scale (100M+ rows)	PlanetScale
Edge/Cloudflare Workers, SQLite	Turso
Multi-tenant: unique database per tenant	Turso
Free tier for side project	Neon or Turso
Best free tier for early-stage	Turso (most generous)
No free tier acceptable	PlanetScale (enterprise-only now)

Performance Context

In head-to-head latency testing from serverless environments:

• PlanetScale and Neon: Sub-10ms query latency for standard queries
• Supabase (TCP connection): Fast connections and queries, slightly more setup for connection pooling
• Turso embedded: Sub-millisecond local reads (when using embedded replicas)

All four are production-capable. Latency differences between Neon, Supabase, and PlanetScale are typically in the 2-15ms range depending on region co-location.

Verdict

Neon is the default recommendation for serverless Postgres in 2026. Post-Databricks pricing, true scale-to-zero, and git-like database branching make it the best developer experience for Postgres.

Supabase wins when you want a full backend platform — auth, storage, and real-time alongside Postgres, all at $25/month. For building products quickly without managing multiple services, Supabase's integrated platform is hard to beat.

Turso is the right answer for edge-native applications, multi-tenant architectures with isolated databases per tenant, and AI applications wanting collocated vector search with their data.

PlanetScale is the niche choice for teams that genuinely need MySQL/Vitess scale — hundreds of millions of rows, very high write throughput — and can accept the $39/month minimum with no free tier.

---

Compare serverless database pricing, features, and API documentation at APIScout — find the right database platform for your application.