Dgraph is an open-source, transactional, distributed, native graph database. Ever since the internet explosion, the data not just has been growing in size, but also in its complexity and connectedness. Dgraph is built as an effort to enable and simplify the development of scalable cloud applications that could continue to thrive even when the data is highly connected and involved. Set on this path, embracing open source all along the way, the first production-ready, major release v1.

We recently announced our successful Series A fundraise and, since then, many people have shown interest to join our team. We are very grateful to have so many people interested in joining our team! We also realized that the job openings were neither really up to date nor covered all of the roles that we are looking for. This is why we decided to spend some time rewriting them and the result is these six new job openings!

We took part in the recently held GraphQL conference in Berlin. The experience was fascinating, and we were amazed by the high voltage enthusiasm in the GraphQL community. Now, we couldn't help ourselves from sharing this with Dgraph's community! This is the story of the GraphQL conference in Berlin. The GraphQL connection If you're wondering what does Dgraph has to do with GraphQL, here's the answer. Dgraph had set its eyes and placed its bet on GraphQL very early.

I recently started working at Dgraph Labs in Bengaluru as a Software Engineer. One of the first issues that I worked on was related to the Dgraph's datetime datatype. This article covers how I discovered and resolved the issue. The article assumes a basic understanding of Dgraph, but you can learn everything you need in docs.dgraph.io. Bug Discovery While working on Flock, I observed that timestamp comparisons were not working correctly in Dgraph when the data or query had timezone information in it.

The blog post by ZDNet made it to HackerNews front page. Do engage in discussion there, and show us love by giving us a GitHub star. I'm really excited to announce that Dgraph has raised $11.5M in Series A funding. This round is led by Redpoint Ventures, with investment from our previous lead, Bain Capital Ventures, and participation from all our existing investors – Blackbird, Grok and AirTree. With this round, Satish Dharmaraj joins Dgraph's board of directors, which includes Salil Deshpande from Bain and myself.

Dgraph is celebrating the milestone of reaching 10,000 GitHub stars 🎉. This wouldn't have happened without all of you, so we want to thank the awesome community for being with us all the way along. This milestone comes at an exciting time for Dgraph. Let's do quick time-travel through our journey, gaze at our milestones, and wrap it up with a glance through the exciting things in the pipeline. Dgraph milestone timeline.

A little bit over a month I joined Dgraph Labs, a really cool tiny startup based (mostly) in San Francisco and Bangalore building what we believe is the next generation of Graph Databases. Marketing spiel aside, I joined because the company is coming up with some really cool tech that benefits more than Graph Database users since all the pieces of the stack are open-sourced on github.com/dgraph-io. One of these pieces is BadgerDB, a key-value store written completely in Go following the ideas of RocksDB and LSM trees.