PlanetScale vs Supabase vs Neon vs Aurora Serverless

What you need to know

• PlanetScale is MySQL-based with database branching for schema workflows. It is not interchangeable with Postgres platforms.
• Supabase provides the most complete platform: Postgres database, realtime subscriptions, auth, and storage as a single subscription. It is the right choice when you want to build quickly without a separate backend.
• Neon is the best Postgres option for serverless function environments due to its connection pooler and scale-to-zero for development environments.
• Aurora Serverless v2 on AWS is the most scalable option for high-traffic, variable-workload applications already in the AWS ecosystem.
• The connection pooling problem is critical in serverless environments. Any platform used with serverless functions must provide a connection pooler; direct Postgres connections will exhaust the connection limit under load.

The core argument

The serverless database platform market has consolidated significantly since 2022. PlanetScale's free tier removal reduced its attractiveness for early-stage projects. Neon emerged as the strongest pure-Postgres serverless option for developers on Vercel. Supabase doubled down on its platform play, adding more features to the integrated offering. Aurora Serverless v2 improved its scaling behavior to be practical for production use.

For most new SaaS projects, the decision comes down to two questions: which database technology (Postgres or MySQL) and which deployment environment (Vercel/Cloudflare Workers versus a persistent server environment). If the answer is Postgres and Vercel, Neon is the most technically appropriate choice for its connection pooling and branching. If the answer is Postgres and you want an integrated platform, Supabase is compelling. If the answer is MySQL and you need branch-based schema deployments, PlanetScale is the only option in this comparison. If the answer is AWS with autoscaling requirements, Aurora Serverless v2 is the obvious choice.

The Supabase platform play deserves specific attention for early-stage builders. A developer who chooses Supabase gets a Postgres database with REST and realtime APIs auto-generated from the schema, authentication with multiple providers, file storage, and Postgres edge functions, without configuring separate services for each. For a solo founder or small team building quickly, this bundled offering eliminates significant infrastructure configuration time. The tradeoff is vendor dependency: extracting from Supabase's realtime and auth later requires replacing those features with standalone services.

Common mistakes

1. Choosing PlanetScale when the application requires foreign key constraints. PlanetScale's Vitess layer historically had limitations on foreign key constraint enforcement. Teams with data models that depend heavily on foreign keys for consistency should verify PlanetScale's current foreign key support before adopting it.

1. Using direct Postgres connections from serverless functions on Neon or Supabase. Direct connections without a pooler exhaust the connection limit under any meaningful serverless concurrency. Use the Neon HTTP driver or Supabase's Supavisor pooler for serverless function workloads.

1. Assuming all platforms provide the same Postgres compatibility. Supabase, Neon, and Aurora Serverless all run standard Postgres and are highly compatible. Extension support varies: Supabase has the broadest extension marketplace, Neon supports common extensions, Aurora Serverless has AWS-specific extension support. Verify that required extensions are supported before committing.

1. Not planning for platform egress costs. Managed database platforms charge for compute, storage, and data transfer. Data egress (data transferred out of the platform to the application) is often a significant cost driver at scale. Evaluate the egress pricing alongside the compute and storage pricing.

1. Choosing based on free tier availability alone. Platform free tiers change. PlanetScale removed its free tier; other platforms have modified their free tiers. A production application should be evaluated on paid tier pricing, not free tier availability.

Where to start

1. Identify the deployment environment first. If deploying on Vercel or Cloudflare Workers, Neon or Supabase are the most compatible choices. If deploying on AWS with variable traffic, Aurora Serverless v2 is the natural choice. If self-hosting or deploying on bare metal, a managed platform may be less relevant than a self-managed Postgres instance.

1. Evaluate extension requirements against platform support. List the Postgres extensions the application requires (pgvector for vector search, PostGIS for geographic data, TimescaleDB for time series). Check which platforms support them in their managed offering.

1. Run a load test on the connection pooling behavior. Before selecting a platform for production, simulate the expected concurrent connection count from the application tier. Verify that the platform's connection pooling handles the load without connection errors.

Related reading

• PostgreSQL vs MySQL vs MongoDB for a New SaaS in 2026
• PostgreSQL vs Supabase vs Neon vs Planetscale
• JSON Columns in Postgres: When They Make Sense
• Lambda Cold Starts: Why They Still Matter in 2026