At Dgraph, we’re building the most advanced graph database in the world. It does distributed transactions, low-latency arbitrary depth joins, traversals, provides synchronous replication and horizontal scalability — with a simple GraphQL-like API.
Dgraph started around end-August, picked up steam in mid-October, and v0.1 was released in early-December, 2015. From one, the contributors grew to 46, with the project amassing over 4000 Github stars over the past two years.
Amazon just announced their new graph database service, called Amazon Neptune. As per a TechCrunch article,
Amazon Neptune has been optimized to handle billions of relationships and run queries within milliseconds.
It all started with a Github issue.
At Dgraph, we really care about user feedback. Most of what we’ve built starting January 2017, has been based what our community (that’s you!
We’re seeing more and more users who want to load massive data sets into Dgraph. Many users want to load billions of edges, and some even want to load up to 50 billion edges!
When we started working on Badger, the aim was to keep things stupid simple. We needed to get rid of Cgo from Dgraph codebase, while also building something which can perform really well.
