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Best EdgeDB Alternatives

Reviewed byRoman K

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

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EdgeDB

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Graph-relational database with a strict schema

Pricing: freemium, from $0/mo
Stars: 14.1k
#1

Prisma

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Pricing
open-source
GitHub Stars
46.4k
Weekly Downloads
13.2M
Category
Databases
#2

Supabase

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Pricing
freemium ($25+/mo)
GitHub Stars
105.0k
Weekly Downloads
20.7M
Category
Databases
#3

Neon

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

Pricing and traction at a glance

Of the 3 alternatives listed, 3 are tracked with full data: 3 keep a free plan, 1 are open source. Paid entries run from $0/mo (Prisma) to $25/mo (Supabase). Supabase carries the most GitHub traction with 105,000 stars. Switching cost is usually driven by lock-in, not by the sticker price.

ToolPricingFree planGitHub stars
Prismaopen-source — from $0/moyes46,400
Supabasefreemium — from $25/moyes105,000
Neonfreemium — from $19/moyes22,400

FAQ

What are the best EdgeDB alternatives in 2026?

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

Is there a free alternative to EdgeDB?

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

How many EdgeDB 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 EdgeDB alternatives in 2026?

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

Is there a free alternative to EdgeDB?

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

How many EdgeDB alternatives are tracked here?

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