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.
Welcome to the sixth episode of getting started with Dgraph.
In the previous episode, we learned about building social graphs in Dgraph, by modeling tweets as an example.
Welcome to the fifth episode of getting started with Dgraph. In the previous episode, we learned about using multi-language strings and operations on them using language tags.
Dgraph is an open-source, transactional, distributed, native Graph database. Dgraph is optimized for high-performance reads and writes. It can serve queries and mutations with low latency and high throughput, even when they involve deep joins and traversals.
