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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.