Dgraph Blog - Dgraph Blog

Mon, May 29, 2017 by Manish Rai Jain

go get github.com/dgraph-io/dgraph/...

Thank you Go community for all the love that you showered on Badger. Within 8 hours of announcing Badger, the blog post made it to the first page of Hacker News. And within three days, the Github repo received 1250 stars, having crossed 1500 by the time of this post. We have already merged contributions and received feedback that we need to work on. All this goes to show how much people enjoy Go native libraries.

Sun, May 14, 2017 by Manish Rai Jain

Introducing Badger: A fast key-value store written purely in Go

We have built an efficient and persistent log structured merge (LSM) tree based key-value store, purely in Go language. It is based upon WiscKey paper included in USENIX FAST 2016. This design is highly SSD-optimized and separates keys from values to minimize I/O amplification; leveraging both the sequential and the random performance of SSDs. We call it Badger. Based on benchmarks, Badger is at least 3.5x faster than RocksDB when doing random reads.

Badger RocksDB Hacker News

Mon, Apr 10, 2017 by Tomasz Zdybał

String matching in Dgraph v0.7.5

The recent release of Dgraph is packed with new features and improvements. Many of them are related to strings - full text search (with support for 15 languages!) and regular expression matching have been added, and handling of string values in multiple languages was greatly improved. All of these changes make Dgraph an excellent tool for working with multilingual applications.

Sun, Mar 26, 2017 by Manish Rai Jain

Building a long lasting company around open-source

Dgraph started with the idea that every startup should be able to have the same level of technology as run by big giants. We designed Dgraph from ground-up to allow data sharding, horizontal scalability, consistent replication, and a fast and distributed architecture. Update (Apr 2018): Dgraph has switched back to Apache 2.0, with a Commons clause restriction. See new post here. We also dream that graph database would no longer run as a secondary database.

Mon, Jan 23, 2017 by Pawan Rawal

Neo4j vs Dgraph - The numbers speak for themselves

As Dgraph is nearing its v0.8 release, we wanted to spend some time comparing it against Neo4j, which is the most popular graph database.

We have divided this post into five parts:

Loading data
Querying
Issues faced
Dgraph vs Neo4j Feature Comparison
Principles behind Dgraph

Benchmark Neo4j

Thu, Jan 5, 2017 by Manish Rai Jain

Releasing Dgraph v0.7.1

Dgraph team is super excited to present v0.7.1 of Dgraph . This version is the biggest step we’ve taken towards our production aim of v1.0. We’ve implemented 90% of all the features we had planned in our product roadmap, including replication and high-availability using RAFT protocol, indexing, filtering, sorting, geospatial queries, and backups.

Thu, Oct 6, 2016 by Pawan Rawal

Dgraph hugo blog theme

We at Dgraph love Hugo and use it for our blog. It’s blazingly fast, supports Markdown is written in Go and is very easy to work with. Initially, we were confused between Hugo vs. having a publication on Medium but later decided to go with Hugo because of the factors mentioned above. One of the things that we found lacking in the Hugo ecosystem was a good theme that we could use for our blog.

Tue, Oct 4, 2016 by Ashwin Ramesh

Golang: Run multiple services on one port

Ever faced the problem of having multiple ports in an application, one for each service? In this post, I’m going to brief about how to run multiple services via the same listener port.