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 (managed Postgres plus MySQL-compatible Vitess), 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 now serves two distinct needs: low-cost managed Postgres and MySQL-compatible Vitess for horizontal scale, branching, and online 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 offers both Postgres and MySQL-compatible Vitess. It has no free plan, but single-node Postgres starts at $5/month; production-grade and Vitess configurations cost more.
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.
Database-engine compatibility matters: Neon and Supabase are Postgres, Turso is SQLite/libSQL, and PlanetScale lets you choose Postgres or MySQL-compatible Vitess.

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	$5/month (single-node Postgres)
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: Managed Postgres or MySQL-compatible Vitess at scale

PlanetScale offers two database engines on its self-serve Base plan: Postgres and Vitess, a horizontally sharded MySQL-compatible system based on the technology that powers YouTube's database layer. The Postgres product targets teams that want managed Postgres with connection pooling and traffic controls; Vitess targets workloads that need horizontal sharding, database branching, and online schema changes.

The tradeoff is that PlanetScale has no free plan. The entry point is now much lower than older summaries imply, however: single-node Postgres starts at $5/month, while highly available Postgres and Vitess clusters cost more.

Pricing

Configuration	Starting cost	Notes
Postgres single node	$5/month	512MB, non-HA; intended for development or cost-sensitive, non-critical workloads
Postgres highly available	$15/month	Entry HA configuration; pricing varies by region and configuration
Vitess Base	Configuration-based	MySQL-compatible clusters; pricing varies by cluster size and region
Enterprise	Custom	Enhanced support and deployment options for either engine

Note: PlanetScale has no free tier. Confirm the engine, availability model, region, storage, and current calculator total before committing; each Postgres branch runs on its own billed cluster, and Vitess pricing follows its selected cluster configuration.

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.

Engine and compatibility constraints

PlanetScale's two engines are not interchangeable. Vitess is MySQL-compatible and retains the MySQL-specific syntax and operational tradeoffs described above. PlanetScale Postgres uses the Postgres ecosystem and PgBouncer-based connection pooling, but it does not currently expose every Vitess feature; for example, the plan documentation lists horizontal sharding for Postgres as coming soon and Data Branching as unavailable. Choose the engine before evaluating migrations, drivers, or schema tooling.

When to choose PlanetScale

Choose PlanetScale Postgres when its managed infrastructure, traffic controls, and low-cost single-node entry fit your workload. Choose PlanetScale Vitess for teams with MySQL expertise that need horizontal sharding, database branching, or online schema changes without operating 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
Low-cost managed Postgres without a free tier	PlanetScale Postgres
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 (self-serve Base or Enterprise)

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 now covers two lanes: managed Postgres starting with a $5/month single-node option, and MySQL-compatible Vitess for teams that genuinely need horizontal scale, database branching, and online schema changes. There is still no free plan, so compare the full production configuration rather than treating $5 as a high-availability production price.

One consideration absent from most serverless database comparisons is data egress pricing. All three platforms charge for egress beyond free-tier thresholds, and egress becomes significant at scale for read-heavy workloads serving large payloads. For applications serving large dataset responses, evaluate whether caching at the application layer — Redis, Cloudflare KV, or Upstash — reduces database egress enough to change the total cost calculation. A database that appears cheap per query can become expensive if every query response transfers substantial data to multiple consumers — and egress costs are notoriously easy to overlook until the first unexpectedly high billing cycle arrives.

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

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