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Reviews onG2
22 reviews tracked

The Bottom Line

Entry price

Free plan available, paid tiers above

Biggest pro

Native GraphQL database

Biggest con

Company had issues

TL;DR - Dgraph

  • Dgraph is a distributed graph database with native GraphQL support
  • It handles graph queries at scale with ACID transactions and horizontal scalability
  • Open-source version free, Dgraph Cloud from $39/month
Pricing: Free plan available
Best for: Growing teams
4.7/5 across review platforms

What is Dgraph?

Editorial review
Dgraph stores and queries graph data with native GraphQL support. Model relationships naturally, query them efficiently-a distributed graph database that speaks GraphQL natively. The query language is GraphQL. Horizontal scaling distributes data. The focus is making graphs accessible, not just possible. Applications modeling highly connected data choose Dgraph for graph storage that integrates naturally with modern development.

Available on: Web

Pros & Cons

Pros

  • Native GraphQL database
  • Distributed
  • Good performance
  • Horizontally scalable
  • Open source

Cons

  • Company had issues
  • Smaller community
  • Documentation gaps
  • Some stability concerns
  • Learning curve

Ratings Across the Web

4.7(22 reviews)

Ratings aggregated from independent review platforms. Learn more

Key Features

Graph databaseGraphQL nativeDistributedACIDSelf-hostedOpen source

Pricing Plans

Pricing checked Jul 10, 2026

Most Popular

Free

Free

Shared

  • 1GB data
  • GraphQL
  • 5K queries/day

Dedicated

$99/month

Starting

  • Dedicated instance
  • 100GB+
  • Unlimited queries

How Dgraph's pricing compares

At $99/mo, Dgraph is the most premium of its 2 direct competitors.

Dgraph
$99

Entry paid plan, monthly. Pricing checked Jul 10, 2026.

Reviews

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4.7/5

Across 22 verified user reviews on G2

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Dgraph FAQ

How does Dgraph support applications with highly connected data?

Dgraph is a distributed graph database that models relationships naturally, making it suitable for applications that require efficient querying of highly connected data. It integrates well with modern development practices by speaking GraphQL natively.

Which teams would benefit most from using Dgraph?

Teams modeling highly connected data that need a distributed graph database will find Dgraph beneficial. Its native GraphQL support and focus on accessibility make it a strong choice for developers.

How does Dgraph compare to Neo4j?

Dgraph distinguishes itself from competitors like Neo4j by offering native GraphQL support as its primary query language. It is also designed for horizontal scaling and distributed data storage.

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

Users should be aware of Dgraph's smaller community and potential documentation gaps, which might present a learning curve. There have also been some stability concerns and past company issues to consider.

How is Dgraph priced?

Dgraph is available on a free tier, allowing users to get started without initial cost. Paid plans are offered for those requiring more usage and additional features.

Can Dgraph handle large datasets and high query loads?

Yes, Dgraph is designed for horizontal scaling, which allows it to distribute data and maintain good performance even with large datasets and high query loads. Its distributed architecture supports efficient graph data management.

Source: dgraph.io

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