Manish is the Chief decision-maker at Dgraph. He got thrust into distributed
systems right out of college, working on real-time web indexing systems at
Google. He then led various projects to consolidate and serve Knowledge Graph
right behind web search.
Implementing GTD and Zero Waste practices, Manish is into efficient and
minimalist living. He loves cycling, swimming, and ultra-light traveling.
Since writing this post, we have built Ristretto: A High Performance Go cache. Read all about it here.
This post made it to the top of Golang subreddit and is trending #2 on the front page of Hacker News.
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.
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.