Supabase vs PlanetScale: Which is the Better Database for AI Projects? (2026)

When diving into AI projects, one of the trickiest decisions is choosing the right database. It's not just about storage; it’s about speed, scalability, and the ability to handle complex queries efficiently. In 2026, we find ourselves with many options, but Supabase and PlanetScale stand out. Both are popular choices, but which is better suited for your AI needs? Let’s break it down.

What Supabase Actually Does

Supabase is an open-source Firebase alternative that provides a full backend as a service. It features a Postgres database, real-time subscriptions, and built-in authentication. It's great for rapid development and prototyping, especially for small to medium-scale AI projects.

• Pricing: Free tier with limited usage, $25/mo for the Pro plan
• Best for: Developers looking to quickly prototype AI applications with real-time capabilities
• Limitations: Limited to PostgreSQL features; scaling can get tricky beyond a certain point
• Our take: We use Supabase for quick prototypes and MVPs because it allows us to get data flowing without much overhead.

What PlanetScale Actually Does

PlanetScale is a serverless MySQL-compatible database that focuses on horizontal scalability and high availability. It's built on top of Vitess, which powers large-scale systems like YouTube. PlanetScale provides features like branching, which allows you to create database branches for experimentation without affecting production.

• Pricing: Free tier available, $49/mo for the Pro plan, higher for enterprise features
• Best for: Projects that require horizontal scaling and need to handle a large number of concurrent queries
• Limitations: Might be overkill for smaller projects; the MySQL compatibility can lead to some quirks
• Our take: We don’t use PlanetScale for smaller projects, but when we need to scale, it’s our go-to for its robust architecture.

Feature Comparison: Supabase vs PlanetScale

| Feature | Supabase | PlanetScale | |------------------------|-------------------------------|-------------------------------| | Database Type | PostgreSQL | MySQL-compatible | | Pricing | Free tier, $25/mo Pro | Free tier, $49/mo Pro | | Real-time Capabilities | Yes | No | | Scalability | Vertical scaling | Horizontal scaling | | Built-in Auth | Yes | No | | Branching | No | Yes | | Best Use Case | Rapid prototyping | Large-scale applications |

Performance and Scalability

When it comes to performance, Supabase shines in scenarios where real-time data updates are crucial. For AI applications that require immediate feedback, such as chatbots or recommendation systems, Supabase's real-time capabilities can be a game-changer.

On the other hand, if your AI project expects to scale massively—think real-time analytics or handling millions of users—PlanetScale's architecture allows for seamless scaling without downtime. In our experience, we've seen PlanetScale handle hundreds of thousands of queries simultaneously without breaking a sweat.

Pricing Breakdown

Let's break down the pricing to see how these two databases stack up.

| Database | Free Tier | Basic Paid Plan | Enterprise Pricing | |-------------|---------------------|--------------------|----------------------------| | Supabase | Yes, limited usage | $25/mo | Custom pricing | | PlanetScale | Yes, limited usage | $49/mo | Custom pricing |

Note: Both platforms offer custom enterprise pricing, so if you're scaling up significantly, reach out for a quote.

Choose Supabase If...

• You need to prototype quickly and require real-time data updates.
• Your team is comfortable working with PostgreSQL.
• Your project is relatively small to medium in scale.

Choose PlanetScale If...

• You anticipate high traffic and need robust horizontal scalability.
• Your project relies heavily on MySQL features and you need to branch databases for testing without affecting production.
• You're building an application that will grow significantly over time.

Conclusion: Start Here

In conclusion, if you're just starting and need something that gets you up and running quickly with real-time capabilities, go with Supabase. However, if you’re building a large-scale AI application that requires robust performance under pressure, PlanetScale is the better choice.

What We Actually Use: For our quick prototypes, we lean toward Supabase, but for any project with scaling in mind, PlanetScale is our go-to solution.