How do Supabase and PlanetScale differ in their core database engines?

Supabase is built entirely on PostgreSQL, offering full access to Postgres extensions like pgvector and PostGIS. PlanetScale provides hosting for both high-performance MySQL via Vitess and newly introduced Postgres database options, specializing in horizontal scaling and sharding.

What happens when a Supabase free tier project exceeds 500 MB?

When your database size or resource usage exceeds the free tier limits, you will need to upgrade to the Pro plan starting at $25/month to avoid service restrictions or project suspension.

How does PlanetScale's branching workflow work for database migrations?

PlanetScale allows developers to create a branch of the production database, make schema changes safely in an isolated environment, and open a deploy request similar to a GitHub pull request, which executes non-blocking migrations upon merge.

Is vendor lock-in a significant concern with either platform?

Both platforms emphasize open-source compatibility—Supabase uses standard PostgreSQL and PlanetScale uses MySQL/Vitess and Postgres—making data migration and export relatively straightforward compared to proprietary cloud databases.

Supabase vs. PlanetScale for SaaS Startups: Database Architecture Decision Report

Question: Should a SaaS startup host their primary relational database using 'Supabase' or 'PlanetScale', considering PostgreSQL vs. MySQL feature sets, branching workflows for database migrations, and free-tier row limits.

Prepared by the ChoiceScore Research Desk · Editor-approved for the curated library · Reviewed July 30, 2026

Recommended Choice Score: 82/100

Direct answer

For early-stage SaaS startups requiring rich native relational features, built-in vector search, and comprehensive backend tooling, Supabase (PostgreSQL) is generally the superior choice, whereas PlanetScale is optimal for hyper-scaling MySQL/Vitess architectures with advanced branching workflows.

Summary

Choosing the right foundational database provider is one of the most critical infrastructure decisions a SaaS startup can make. Supabase leverages PostgreSQL to offer a tightly integrated development platform featuring Row-Level Security, real-time data sync, and vector embeddings, backed by a generous free tier and a pro tier starting at $25 per month. Conversely, PlanetScale has evolved beyond its original Vitess MySQL roots to support both high-performance MySQL and newly introduced Postgres hosting options, offering entry-level pricing starting at $15 per month for non-HA clusters. This report evaluates feature sets, migration workflows, and pricing constraints to help engineering teams optimize for velocity, scalability, and cost efficiency.

Choice Score breakdown

Feature Richness & Ecosystem 90/100 — PostgreSQL extensibility, RLS, and built-in vector support give Supabase an edge for modern SaaS.
Scaling & Migration Workflows 85/100 — PlanetScale pioneered seamless database branching and safe schema migrations for fast-moving teams.
Cost & Free Tier Value 80/100 — Supabase offers 500 MB database size on free tier; PlanetScale offers entry tiers starting at $15/mo.
Vendor Lock-in Risk 88/100 — Both platforms rely on open-source core engines (Postgres and Vitess/Postgres), ensuring high portability.

Best for / Not best for

Best for

AI-driven SaaS requiring vector database capabilities
Teams wanting an all-in-one backend with auth, storage, and edge functions
Developers familiar with PostgreSQL ecosystems and extensions

Not best for

Workloads heavily optimized for MySQL stored procedures that require strict database-level execution (though PlanetScale handles standard MySQL well)
Bootstrapped teams that exceed free tier storage limits immediately but cannot afford predictable monthly baseline bumps

Scenarios

The AI-First SaaS Startup (70% likely)
A startup building an LLM-powered workflow automation tool requiring vector embeddings, real-time collaboration, and rapid prototyping.
The High-Velocity Enterprise SaaS (60% likely)
An application experiencing rapid user growth with a large engineering team requiring rigorous CI/CD database branching workflows.
The Bootstrapped MVP Phase (80% likely)
A solo founder testing multiple product iterations with minimal initial capital and zero early revenue.

Calculations

Metric	Result	Formula
Supabase Pro Tier Base Annual Cost	300 USD/year	monthly_base_price * 12
PlanetScale Entry-Level Metal/Standard Annual Cost	180 USD/year	monthly_cluster_price * 12
Supabase Pro Additional Project Scaling Cost	240 USD/year	additional_projects_count * monthly_project_fee * 12

Assumptions

Supabase Free Tier Limits: 500 MB database size, 50,000 monthly active users — Sourced directly from official Supabase pricing documentation.
Supabase Pro Pricing: $25/month base fee — Sourced directly from official Supabase pricing documentation.
PlanetScale Starting Tier: $15/month for entry configuration — Sourced directly from official PlanetScale pricing documentation.

Practical next steps

Audit your technical stack to determine whether your team has deeper expertise in PostgreSQL or MySQL.
Evaluate your core feature requirements (e.g., whether you need built-in vector embeddings for AI or advanced Git-like branching for schema changes).
Calculate your projected data volume and active user growth over the next 12 months against Supabase's 500 MB free tier and PlanetScale's entry pricing.
Test database migration workflows and developer ergonomics by setting up a trial project on both platforms.
Select the platform that best aligns with your team's deployment velocity and scale requirements, then configure automated backups and security policies.

Methodology

This decision report was generated by synthesizing official pricing, architectural documentation, and feature sets from Supabase and PlanetScale. Calculations were derived from baseline subscription models and storage metrics. Scoring reflects developer velocity, ecosystem extensibility, scaling capabilities, and cost efficiency for early-stage SaaS startups.

Sources

Sources support specific claims; they do not replace our analysis. Read the research and source standards.

FAQ

How do Supabase and PlanetScale differ in their core database engines?: Supabase is built entirely on PostgreSQL, offering full access to Postgres extensions like pgvector and PostGIS. PlanetScale provides hosting for both high-performance MySQL via Vitess and newly introduced Postgres database options, specializing in horizontal scaling and sharding.
What happens when a Supabase free tier project exceeds 500 MB?: When your database size or resource usage exceeds the free tier limits, you will need to upgrade to the Pro plan starting at $25/month to avoid service restrictions or project suspension.
How does PlanetScale's branching workflow work for database migrations?: PlanetScale allows developers to create a branch of the production database, make schema changes safely in an isolated environment, and open a deploy request similar to a GitHub pull request, which executes non-blocking migrations upon merge.
Is vendor lock-in a significant concern with either platform?: Both platforms emphasize open-source compatibility—Supabase uses standard PostgreSQL and PlanetScale uses MySQL/Vitess and Postgres—making data migration and export relatively straightforward compared to proprietary cloud databases.

Related decisions

Disclaimers

Pricing tiers, storage limits, and feature sets are subject to change by Supabase and PlanetScale. Verify current rates on their respective official pricing pages before committing to architectural decisions.