Tue, Jan 29, 2019
Optimizing Indexing in Dgraph
One of the cornerstones of Dgraph is that it allows a flexible schema, which can be modified in a live system, without any downtime.
Thu, Jan 24, 2019
Why we choose Badger over RocksDB in Dgraph
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.
Tue, Apr 3, 2018
Switching Dgraph to a Liberal License
Last year, we had switched Dgraph license to AGPLv3.0, considering reasons like the ability to monetize in a competitive environment. In particular,
Tue, Dec 19, 2017
Releasing Dgraph 1.0: Production-Ready Graph Database
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.
Fri, Dec 1, 2017
Open Source Alternative to Amazon Neptune
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.
Tue, Nov 14, 2017
Releasing distributed transactions in v0.9
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!
Mon, Oct 9, 2017
Loading close to 1M edges/sec into Dgraph
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!
Thu, Oct 5, 2017
Concurrent ACID Transactions in Badger
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.
Tue, Oct 3, 2017
[Opinion] SQL is not beating NoSQL. NoSQL is evolving.
Ajay Kulkarni, the co-founder of Timescale DB wrote an article about “Why SQL is beating NoSQL,” which became an instant hit.