Dgraph is a distributed, transactional, open source, native graph database. It enables and simplifies the development of scalable cloud applications that continue to thrive even when the data is highly connected and involved.
We built “Encryption at Rest” in Badger v2. Encryption is complex, but important. With this blog post, we not only want to introduce this feature to our users, but also dive into the details of how we implemented encryption in Badger, so the reader can gain enough understanding about introducing AES encryption in their own systems.
Welcome to the eighth episode of getting started with Dgraph.
In the previous episode, we learned about building a twitter-like user-search feature using Dgraph’s fuzzy search.
Welcome to the seventh episode of getting started with Dgraph. In the previous episode, we learned about building advanced text searches on social graphs in Dgraph, by modeling tweets as an example.
We are excited to announce that the “Get Started with Dgraph” of our documentation site now includes the episodes from our getting started blog series.
It’s been a bit over three months since we released Dgraph v1.1.0 (see the announcement) but the wait and hard work were well worth it because today we announce that Dgraph v1.
