From Zero to Hero with Dgraph’s Community
Talk Abstract:In the past year, I have worked on a Github-like system that helps data scientists track and manage their research. Our data looks like a huge graph of branches and versions, so it looked like a graph-based database would be a perfect candidate.It was quite a journey. We first tried GQL and then Slash GraphQL in its early versions. At some point, we hit the limits of GQL and we started to move into DQL. We ran into trouble quite often, and I found myself asking a lot of questions. At the beginning, total newbie stuff, and eventually pointing out real problems, and asking for new features to help make the product better for everyone. I found myself being invited to conversations regarding the product and GQL. The core team would often post polls to decide how features should be implemented, and I got to post my say on it. When the time came and we switched to DQL, my knowledge of the DB’s inner workings made it surprisingly easy to switch, and again I joined the conversions, this time regarding DQL’s future.