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Best Supabase Alternatives

Reviewed byRoman K

3 alternatives to Supabase in Databases, compared by pricing, DX grade, security, and vendor lock-in.

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Supabase

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Open source Firebase alternative

Pricing: freemium, from $25/mo
Stars: 105.0k
#1

Firebase

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Pricing
freemium
GitHub Stars
5.1k
Weekly Downloads
8.1M
Category
Databases
#2

Neon

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Pricing
freemium ($19+/mo)
GitHub Stars
22.4k
Weekly Downloads
1.8M
Category
Databases
#3

PlanetScale

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Pricing
freemium ($29+/mo)
GitHub Stars
1.2k
Category
Databases

Pricing and traction at a glance

Of the 3 alternatives listed, 3 are tracked with full data: 3 keep a free plan. Paid entries run from $0/mo (Firebase) to $29/mo (PlanetScale). Neon carries the most GitHub traction with 22,400 stars. Switching cost is usually driven by lock-in, not by the sticker price.

ToolPricingFree planGitHub stars
Firebasefreemium — from $0/moyes5,111
Neonfreemium — from $19/moyes22,400
PlanetScalefreemium — from $29/moyes1,200

FAQ

What are the best Supabase alternatives in 2026?

The top alternatives to Supabase are Firebase, Neon, PlanetScale. Each offers different trade-offs in pricing, developer experience, and lock-in risk.

Is there a free alternative to Supabase?

Several Supabase alternatives offer free tiers or self-hosted options: check individual pricing pages for current free tier availability.

How many Supabase alternatives are tracked here?

3 in the Databases category, compared on price difference, lock-in risk and developer experience where editorial data exists.

Frequently asked questions

What are the best Supabase alternatives in 2026?

The top alternatives to Supabase are Firebase, Neon, PlanetScale. Each offers different trade-offs in pricing, developer experience, and lock-in risk.

Is there a free alternative to Supabase?

Several Supabase alternatives offer free tiers or self-hosted options: check individual pricing pages for current free tier availability.

How many Supabase alternatives are tracked here?

3 in the Databases category, compared on price difference, lock-in risk and developer experience where editorial data exists.