Dgraph

The World’s Most Advanced Native GraphQL Database

Flexible. Responsive. Scalable.

Dgraph is an open-source, fast, and distributed graph database written entirely in Go.

Dgraph is built for the heavy transactional workloads required to power modern apps and websites, but it isn’t limited to only these types of applications. Whether you are looking to power the backend of your app, create an elastic search for your website, or build a new database purely for data analysis, Dgraph is up to the task.

You might want to use a Graph Database if you’re working on:

  • Customer 360
  • Social Media Platforms
  • Content Management Systems
  • E-Commerce Websites
  • Entity Resolution
  • HR Management Applications
  • Master Data Management
  • Product Recommendation Engines
  • Live Chat Applications
dgraphbolt

We make Dgraph work for you

As Dgraph’s First Partner, Capventis helps you implement & integrate Dgraph in your business.

Self-Managed

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Dgraph

Ideal for small businesses, the Dgraph Self-Managed option is an open-source, fast, and horizontally scalable graph database.

It delivers milliseconds query response time for streamlined performance and you can grow it at the same pace as your business.

Cloud

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Slash GraphQL

Designed for Enterprise use and bigger projects, Slash GraphQL is an all-in-one backend solution. It auto-generates resolvers and endpoints based on your GraphQL schema, so you can focus on developing your apps and iterate quickly, without downtime.

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Dgraph Cloud

Designed for Enterprise, scale from zero to billions of records effortlessly.

Build and scale with your backend managed by Dgraph. Operate thousands of clusters at once without the DevOps headache.

Not sure of what’s best for you?

Get in touch & we will make Dgraph work for you.

Case Studies

See how Capventis and Dgraph help companies Improve.
Securely integrate apps and automate data flows at any scale

Capventis Glu Case Study

Turning 300 Tables Into a Single,
Easy-to-query Graph:
How Capventis is Using Dgraph
to Streamline Messy Legacy Data

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