Welcome to the fourth episode of getting started with Dgraph. In the previous episode, we learned about Datatypes, Indexing, Filtering, and Reverse traversals in Dgraph. In this episode, we'll learn about using multi-language strings and operations on them using the language tags. Strings and languages Strings values in Dgraph are of UTF-8 format. Dgraph also supports values for string predicate types in multiple languages. The multi-lingual capability is particularly useful to build features, which requires you to store the same information in multiple languages.

Welcome to the third episode of getting started with Dgraph. In the previous episode of the tutorial, we learned about the CRUD operations using UIDs. We also learned about traversals and recursive traversals. In this tutorial, we'll learn about Dgraph's basic types and how to query for them. Specifically, we'll learn about: Basic data types in Dgraph. Querying for predicate values. Indexing. Filtering nodes. Traversing in reverse direction. Let's start by building the following graph of a simple blog application.

Welcome to the second episode of getting started with Dgraph. In the last episode of the tutorial, we learned some of the basics of Dgraph. Including how to run the database, add new nodes and predicates, and query them back. In this episode, we'll build the above Graph and learn more about operations using the UID (Universal Identifier) of the nodes. Specifically, we'll learn about: Querying and updating nodes, deleting predicates using their UIDs.

Welcome to getting started with Dgraph. Dgraph is an open-source, transactional, distributed, native Graph Database. Here is the first episode of the tutorial series on using Dgraph. In this tutorial, we'll learn how to build the following graph on Dgraph, In the process, we'll learn about: Running Dgraph using the dgraph/standalone docker image. Running the following basic operations using Dgraph's UI Ratel, Creating a node. Creating an edge between two nodes.

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 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.

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.