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. We also dream that graph database would no longer run as a secondary database. By building a truly robust piece of technology, we can have our users run only one database, which allows arbitrarily complex queries while providing rock solid performance.
Neo4j vs Dgraph - The numbers speak for themselves
- Loading data
- Issues faced
- Principles behind Dgraph
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.
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.
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.