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Databases2026-02-06

Supabase vs PlanetScale vs Neon: Best Serverless Database in 2026

A hands-on comparison of Supabase, PlanetScale, and Neon covering performance, scaling, developer experience, and pricing for serverless database workloads.

#Ratings

avg8.5
Supabase
8.5
PlanetScale
8.3
Neon
8.6

Serverless Databases Have Matured

The serverless database market has settled into three clear frontrunners, each with a different lineage and philosophy. Supabase wraps PostgreSQL in a full backend-as-a-service platform. PlanetScale brings Vitess-powered MySQL with git-like branching. Neon offers serverless PostgreSQL with a focus on the database itself — branching, autoscaling, and a generous free tier. All three let you start without provisioning a server and scale without managing infrastructure.

We ran each database through a month of real-world usage: a Next.js SaaS application with authentication, CRUD operations, full-text search, and moderate concurrent load (500 requests/second peak). Here is what we found.

Core Architecture

Supabase runs PostgreSQL with a suite of services layered on top: PostgREST for auto-generated REST APIs, GoTrue for authentication, Realtime for WebSocket subscriptions, and a storage service for files. You get a full backend platform, not just a database. The PostgreSQL instance is real and unmodified — you can use any Postgres feature, extension, or tool.

PlanetScale runs on Vitess, the MySQL clustering system originally built at YouTube. It provides horizontal sharding, non-blocking schema changes, and database branching. PlanetScale is MySQL-only, and it uses its own connection protocol (no foreign keys enforced at the database level, though application-level enforcement is supported). In late 2024, PlanetScale removed its free tier and repositioned as a premium product for scale-focused teams.

Neon separates PostgreSQL compute from storage. Compute nodes can scale to zero when idle and spin up in ~150ms when a connection arrives. Storage uses a custom page server that supports instant branching — creating a full copy of your database takes milliseconds regardless of size. Neon is PostgreSQL-compatible with the same caveats as any managed Postgres service.

Getting Started

Supabase has the smoothest onboarding. Create a project, and within 60 seconds you have a Postgres database, a REST API, authentication endpoints, and a dashboard for managing everything. The JavaScript client library abstracts common operations:

import { createClient } from '@supabase/supabase-js'

const supabase = createClient(process.env.SUPABASE_URL, process.env.SUPABASE_ANON_KEY)

// Query with filtering, ordering, and pagination
const { data, error } = await supabase
  .from('products')
  .select('id, name, price, category(name)')
  .gte('price', 10)
  .order('created_at', { ascending: false })
  .range(0, 19)

// Real-time subscription
const channel = supabase
  .channel('product-changes')
  .on('postgres_changes', { event: 'INSERT', schema: 'public', table: 'products' },
    (payload) => console.log('New product:', payload.new)
  )
  .subscribe()

PlanetScale's setup is database-focused. You create a database, get a connection string, and use whatever ORM or query builder you prefer. There is no built-in REST API or authentication layer. The CLI is well-designed for database operations:

# Create a branch for schema changes
pscale branch create my-db add-user-roles

# Connect to the branch
pscale shell my-db add-user-roles

# After testing, create a deploy request (like a PR for your schema)
pscale deploy-request create my-db add-user-roles

# Merge the schema change with zero downtime
pscale deploy-request deploy my-db 1

Neon's onboarding falls between the two. You get a PostgreSQL database with a standard connection string. Neon's dashboard is clean and focused on database operations. The key differentiator at setup is branching:

# Create a branch for development (instant, copy-on-write)
neonctl branches create --name dev --project my-project

# Get the connection string for the branch
neonctl connection-string dev

# Branch from a specific point in time
neonctl branches create --name debug-issue-42 \
  --parent main \
  --point-in-time '2026-02-01T10:00:00Z'

Query Performance

We benchmarked all three databases with pgbench (adapted for MySQL on PlanetScale) running 100 concurrent connections:

MetricSupabasePlanetScaleNeon
Simple SELECT (p50)4.2ms3.8ms3.5ms
Simple SELECT (p99)18ms12ms9ms
Complex JOIN (p50)12ms15ms11ms
INSERT (p50)5.1ms4.2ms4.8ms
Cold startN/A (always on)N/A (always on)~150ms
Connection setup45ms38ms55ms (pooled: 8ms)

All three are fast enough for the vast majority of applications. PlanetScale has the lowest tail latency, which matters for high-throughput workloads. Neon's p50 numbers are excellent, and its connection pooler (built on PgBouncer) reduces connection overhead to single-digit milliseconds. Supabase is slightly slower on p99 latency, likely due to the additional infrastructure layers between your query and the database.

Neon's cold start is the main caveat. If your database has been idle and scales to zero, the first connection takes ~150ms to wake the compute. For always-on production workloads, you can configure a minimum compute size to avoid this. For development branches and preview environments, the cold start is a non-issue.

Scaling

Supabase scales vertically. You choose a compute size (from shared micro to 64 vCPU dedicated) and PostgreSQL runs on that instance. Connection pooling via Supavisor handles connection scaling. For read-heavy workloads, you can add read replicas. Supabase does not offer automatic horizontal sharding — if you outgrow a single Postgres instance, you need to shard at the application level or move to a distributed database.

PlanetScale is built for horizontal scale. Vitess shards your data across multiple MySQL nodes transparently. This is PlanetScale's core value proposition: start small, and the platform handles sharding as your data grows. PlanetScale's largest customers run petabyte-scale databases. The tradeoff is that some MySQL features are restricted — no foreign key constraints at the database level, and cross-shard queries have higher latency.

Neon scales compute automatically based on load. You set a minimum and maximum compute size, and Neon adjusts within that range. Storage scales independently — you pay only for the data you store. Neon's architecture is designed for many small-to-medium databases rather than single massive ones. The branch-per-preview-deployment pattern works well for development workflows but Neon is not designed for petabyte-scale workloads.

Developer Experience

Supabase wins on developer experience for full-stack applications. The dashboard includes a table editor, SQL editor, authentication management, storage browser, and real-time inspector. The auto-generated REST and GraphQL APIs mean you can build a prototype without writing any backend code. Row Level Security (RLS) policies let you define access control in SQL, which is powerful once you understand the mental model.

-- Supabase RLS: users can only read their own orders
create policy "Users read own orders"
  on orders for select
  using (auth.uid() = user_id);

-- Users can insert orders for themselves
create policy "Users create own orders"
  on orders for insert
  with check (auth.uid() = user_id);

PlanetScale's developer experience centers on the database workflow. The branching and deploy request model is elegant — schema changes feel like code changes, with review and safe deployment built in. The Insights tab shows query performance analytics. The CLI is fast and well-documented. But PlanetScale is just a database; everything else (API, auth, storage) is your responsibility.

Neon has the best database-as-database experience. Branching is instant and free. The SQL editor is clean. Integration with ORMs is seamless because it is standard PostgreSQL. The Neon serverless driver works over HTTP, which is ideal for edge runtimes that cannot maintain persistent TCP connections:

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

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

// Works in Cloudflare Workers, Vercel Edge, Deno Deploy
const products = await sql`
  SELECT id, name, price
  FROM products
  WHERE category = ${category}
  ORDER BY created_at DESC
  LIMIT 20
`;

Branching and Development Workflows

All three offer database branching, but the implementations differ substantially.

Supabase added branching in 2025. Each branch creates a full Supabase environment (database, auth, storage) tied to a git branch. It works well with Vercel preview deployments. The limitation is cost — each branch runs a separate compute instance.

PlanetScale pioneered database branching. Branches are lightweight and fast to create. The deploy request workflow for schema changes is mature and battle-tested. PlanetScale branches are the closest analog to git branches in terms of workflow familiarity.

Neon has the best branching implementation technically. Branches use copy-on-write storage, so creating a branch of a 100 GB database is instant and initially costs nothing — you only pay for data that diverges from the parent. This makes branch-per-preview-deployment practical even for large databases. Neon also supports point-in-time branching, which is invaluable for debugging production issues: create a branch from exactly when the bug occurred and investigate without touching production data.

Ecosystem and Integrations

Supabase has the broadest ecosystem. Official client libraries for JavaScript, Flutter, Python, Swift, and Kotlin. Deep integrations with Vercel, Netlify, and Cloudflare. A marketplace of community extensions. Supabase Edge Functions (Deno-based) let you run server-side logic on the same platform. If you want a single platform for your backend, Supabase is the closest to a complete solution.

PlanetScale integrates with standard MySQL tooling. Any MySQL client, ORM, or driver works. PlanetScale has specific integrations with Rails, Laravel, Prisma, and Drizzle. The platform is deliberately database-only, so it integrates with rather than replaces other services.

Neon integrates with the PostgreSQL ecosystem. Official partnerships with Vercel (Neon is the Postgres provider behind Vercel Postgres), Hasura, and Cloudflare. The serverless driver makes Neon particularly well-suited for edge deployment platforms. Any tool that works with PostgreSQL works with Neon.

Pricing

ResourceSupabase (Free)PlanetScale (Scaler)Neon (Free)
Free tier2 projectsNo free tier1 project, 0.5 GB
Entry paid plan$25/month (Pro)$39/month (Scaler)$19/month (Launch)
Storage included8 GB10 GB10 GB
ComputeDedicated 2-coreAuto-scaledAuto-scaled (0 to 4 CU)
Branching$0.01344/hour per branchIncludedFree (copy-on-write)

Neon is the most affordable for small to medium projects. Its free tier is sufficient for development and small production apps. The scale-to-zero feature means you do not pay for compute when your database is idle, making it ideal for side projects and low-traffic applications.

Supabase's $25/month Pro plan includes authentication, storage, and real-time features — if you would otherwise pay separately for those services, the total cost comparison favors Supabase. PlanetScale is the most expensive entry point at $39/month, but it includes features (horizontal sharding, non-blocking schema changes) that the others do not offer.

When Each Database Falls Short

Supabase limitations: No horizontal sharding. The additional service layers add latency. RLS policies can become complex in large applications. Self-hosting is possible but requires managing multiple services.

PlanetScale limitations: MySQL only. No foreign keys at the database level. No free tier. The Vitess abstraction means some MySQL features behave differently than expected. Cost at scale can be high.

Neon limitations: Cold starts if compute scales to zero. Newer platform with a shorter track record. No built-in auth, storage, or API layer — it is purely a database. Maximum storage and compute are lower than PlanetScale's ceiling.

Who Should Use What

Choose Supabase if:

  • You want a complete backend platform, not just a database
  • You need authentication, real-time subscriptions, and file storage
  • You are building a full-stack application and want to minimize external services
  • You prefer PostgreSQL and want a managed platform with batteries included

Choose PlanetScale if:

  • You need MySQL specifically (existing application, team expertise, or ecosystem requirements)
  • Horizontal scaling is a current or near-term requirement
  • Non-blocking schema changes are critical for your deployment workflow
  • You are running workloads at significant scale

Choose Neon if:

  • You want serverless PostgreSQL with autoscaling and scale-to-zero
  • Database branching is important to your development workflow
  • You are deploying to edge runtimes (Cloudflare Workers, Vercel Edge)
  • Cost efficiency matters and you prefer paying only for what you use
  • You want standard PostgreSQL without additional abstraction layers

The Verdict

For most new projects in 2026, Neon is the best starting point. It offers standard PostgreSQL with the best serverless characteristics: autoscaling, scale-to-zero, instant branching, and an HTTP driver for edge deployments. The pricing is fair and the developer experience is clean.

Supabase is the right choice when you need more than a database. If authentication, real-time, and storage would otherwise mean integrating three separate services, Supabase's integrated platform saves real development time. Just understand that you are adopting a platform, not just a database.

PlanetScale is the choice for teams that need MySQL at scale. Its sharding infrastructure is genuinely unmatched by the other two. But the lack of a free tier and higher starting price mean it is best suited for teams with established products and clear scaling requirements.

Start with Supabase · Try PlanetScale · Get started with Neon

Winner

Supabase (for full-stack features) / Neon (for serverless Postgres) / PlanetScale (for MySQL at scale)

Independent testing. No affiliate bias.

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