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Supercharge Postgres with a modern data model, graph queries, Auth & AI solutions.

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Reviews onG2
8 reviews tracked

The Bottom Line

Entry price

From $20/mo (free plan available)

Biggest pro

Modern database

Biggest con

Smaller ecosystem

TL;DR - EdgeDB

  • Modern data platform built on Postgres with a graph-relational data model.
  • Simplifies database workflows, migrations, and queries with type-safe schema and client libraries.
  • Includes integrated auth, AI/GenAI capabilities, and robust local-to-cloud development tools.
Pricing: Free plan available
Best for: Growing teams
4.1/5 across review platforms

What is EdgeDB?

Editorial review
Gel is an integrated data platform built on top of PostgreSQL, designed to modernize the relational database experience. It provides a fresh approach to data modeling with object types and links instead of traditional JOINs, simplifying complex queries and migrations. Gel offers a complete database workflow from local development to cloud deployment with zero-config setup, built-in tooling, and robust client libraries for various programming languages. Gel is targeted at developers looking for a more intuitive and efficient way to interact with Postgres, especially those working with modern application stacks. It addresses common database challenges like N+1 problems, complex migrations, and schema management. Key benefits include end-to-end type safety, integrated authentication, AI/GenAI readiness with vector stores and RAG endpoints, and high performance due to query composability and optimized network interactions. The platform is fully open source and provides features like graph queries, a high-level schema engine, and client SDKs for Python, TypeScript, Go, Dart, Rust, .NET, and Java. It also includes tools for local development, cloud deployment with encryption and backups, and integrations with platforms like Vercel and GitHub.

Available on: Windows, macOS, Linux, Web

Pros & Cons

Pros

  • Modern database
  • Good query language
  • Schema migrations
  • TypeScript support
  • Active development

Cons

  • Smaller ecosystem
  • Learning curve
  • Fewer hosting options
  • Community smaller
  • Enterprise features developing

Ratings Across the Web

4.1(8 reviews)

Ratings aggregated from independent review platforms. Learn more

Key Features

Graph-relational databaseDeclarative schemaBuilt-in migrationsTypeScript clientEdgeQLObject types

Pricing Plans

Pricing checked Jul 11, 2026

Free

Free

Development

  • 10GB storage
  • 2 instances
  • Community support
  • Basic compute

Pro

$20/month

Production

  • 50GB storage
  • Autoscaling
  • Email support
  • Backups

Enterprise

null

Large scale

  • Unlimited storage
  • Dedicated infrastructure
  • 24/7 support
  • SLA

How EdgeDB's pricing compares

At $20/mo, EdgeDB is mid-range of its 3 direct competitors ($0.18 to $25/mo across the set).

Entry paid plan, monthly. Pricing checked Jul 11, 2026.

Reviews

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4.1/5

Across 8 verified user reviews on G2

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EdgeDB FAQ

How does EdgeDB simplify data modeling compared to traditional relational databases?

EdgeDB modernizes the relational database experience by using object types and links for data modeling, which replaces traditional JOINs. This approach simplifies complex queries and streamlines schema management for developers.

Which teams would benefit most from using EdgeDB?

EdgeDB is ideal for developers working with modern application stacks who need an intuitive and efficient way to interact with Postgres. It particularly suits teams looking to address challenges like N+1 problems, complex migrations, and schema management.

How does EdgeDB compare to PostgreSQL regarding query capabilities?

EdgeDB enhances PostgreSQL by offering a modern data model and graph queries, which can simplify complex data interactions. While PostgreSQL provides a robust relational foundation, EdgeDB adds a high-level schema engine and optimized query composability.

Can EdgeDB be used for AI and GenAI applications?

Yes, EdgeDB is designed to be AI/GenAI ready, incorporating features like vector stores and RAG (Retrieval Augmented Generation) endpoints. This makes it suitable for applications requiring advanced data retrieval and processing for AI models.

What kind of trade-offs should users consider when adopting EdgeDB?

Users should be aware that EdgeDB currently has a smaller ecosystem and community compared to more established database solutions. There may also be a learning curve associated with its modern data model and fewer hosting options available.

How is EdgeDB priced?

EdgeDB is available on a free tier, allowing users to get started without initial cost. For more extensive usage and additional features, paid plans are offered.

Does EdgeDB support various programming languages through client libraries?

Yes, EdgeDB provides robust client SDKs for a wide array of programming languages. These include Python, TypeScript, Go, Dart, Rust, .NET, and Java, facilitating integration into diverse application environments.

Source: edgedb.com

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