Dgraph Reviews and details

Social recommendations and mentions

• How to choose the right type of database

  Dgraph: A distributed and scalable graph database known for high performance. It's a good fit for large-scale graph processing, offering a GraphQL-like query language and gRPC API support. - Source: dev.to / 2 months ago

• Getting Started with Serverless Edge - Exploring the Options

  DGraph – A distributed GraphQL database with a graph backend. - Source: dev.to / over 1 year ago

• Fluree DB - A datomic like database that I just discovered

  How does it compare to, say grakn (renamed https://vaticle.com/, I think?), or draph (https://dgraph.io/), or Ontotext's GraphDB (https://www.ontotext.com/products/graphdb/), or Datomic? Source: over 1 year ago

• GKE with Consul Service Mesh

  Consul Connect service mesh has a higher memory footprint, so on a small cluster with e5-medium nodes (2 vCPUs, 4 GB memory), you will only be able to support a maximum of 6 side-car proxies. In order to get an application like Dgraph working, which will have 6 nodes (3 Dgraph Alpha pods and 3 Dgraph Zero pods) for high availability along with at least one client, a larger footprint with more robust Kubernetes... - Source: dev.to / over 1 year ago

• Show HN: We have built a benchmark platform for graph databases

  Looking forward comparison with Dgraph ( https://dgraph.io/ ) — I mentioned Dgraph in other, older, posts. I'm not a shill, just a Dgraph user who's looking for alternative. - Source: Hacker News / over 1 year ago

• Voice assistant that can be taught how to swear (Part 2)

  Now let’s talk about saving questions and answers. The Trie data structure is a great fit for quickly identifying if a question exists in the database and then finding its answer. To store tree nodes and links between them, I used the graph database Dgraph. For this project, I created a free cloud repository on dgraph.io. A TrieNode looks like this:. - Source: dev.to / about 2 years ago

• The Best Collected Details on the GraphQL Specification – Overview & Language

  GraphQL, as defined, is not a programming language and not capable of arbitrary computation. This is important to note, as many of the platforms and services that provide GraphQL APIs could lead one to think that GraphQL is providing much of the functionality in these platforms, when really it is merely the facade and presentation via API of the capabilities of the underlying systems and platforms (re: Hasura,... - Source: dev.to / over 2 years ago

• DGraph Data Modeling: Part 1 - Timestamps

  In my opinion, DGraph is the best competition to Firestore there is (and much much more). Imagine Firestore with Subscriptions, plus a Graph Database for complex searching, plus any kind of relational data you can think of, wrapped in a GraphQL interface, or a backend custom language called DQL. - Source: dev.to / over 2 years ago

• I've made Unigraph, a local/self-hosted FOSS personal knowledge graph, notetaking app, and personal search engine that connects with your existing workflow (demo & access in link)

  Database is a fork of Dgraph (https://dgraph.io), backend is node.js, and frontend is react (optional electron). All in typescript & ES6+. Source: over 2 years ago

• GraphQL Auth without Middleware

  In almost every GraphQL API, GraphQL developers need to add middleware to create rules for the authorization of these CRUD actions. There is on implementation of GraphQL however that stands above the competition, Dgraph! Dgraph has engineered their GraphQL API which is embedded into the core of the database to generate CRUD operations with authorization built-in. How is this possible? When a developer deploys a... - Source: dev.to / over 2 years ago

• A Backend with Flexibility

  Let me introduce you to Dgraph! Dgraph is a spanner-like backend solution that at its core is a key-value store, but at the API level provided as an endpoint inside of the core provides a GraphQL API. - Source: dev.to / over 2 years ago

• Dgraph is the most exciting tech product I've ever used ❤️‍🔥. Here's Why:

  This might sound like hyperbole but I genuinely believe that Dgraph is the most exciting dev product I've seen in my career. I'm constantly blown away by the seemingly small but crazy powerful features that I keep discovering, but the most exciting (meta)feature of Dgraph I want to talk about is that it has completely revolutionised the whole software development cycle. Especially for startups who are trying to... - Source: dev.to / over 2 years ago

• Uber using External Consistency database Google Cloud Spanner

  Thanks, cool. I will check out https://dgraph.io/. Source: over 2 years ago

• Is there a database like Firebase which can be used with flutter but doesn't collect user data?

  Just https://dgraph.io, your link is for registered users. Source: over 2 years ago

• Graph database vs relational database for associated data with the same structure?

  If you're handling many millions of records and need good performance over complex graph query (friends-of-friends-of-friends and suchlike) then a graph database may be worth looking into. I've been impressed with https://dgraph.io/ but I haven't tried many of the other options. Source: over 2 years ago

• The Stack #2

  At first, I had to think a bit to see whether GraphQL Mesh is relevant to me, cause my stack completely uses GraphQL natively anyways (including my data source Dgraph which supports GraphQL Natively) and hence was not sure if it suited my use case. - Source: dev.to / almost 3 years ago

• The Workflow

  To do this, try treating your resolvers as just entities which do an operation and respond back with data given a set of inputs (similar to what you would typically do with a REST API). So, try setting up your backend/datasources from which you would want to serve the data (be it a database like Postgres or Mongo with or without an ORM like Prisma, Knex or Sequelize, or even an underlying resource like a REST API... - Source: dev.to / almost 3 years ago

• when to build from scratch and when to use technologies like hasura?

  We recently switched from Elixir+Absinthe to Dgraph and there's no way I'm going back. Dgraph generates queries and mutations automatically for any types that you add to your schema file, and adding custom queries and mutations is straightforward. You just add them to your schema. I recommend looking into it. Source: almost 3 years ago

• Need help in choosing a database - Postgres or BadgerDB

  Dgraph is a highly scalable hyper fast graph database that is distributed, and is built on top of Badger. For consensus, it Raft protocol. (Git repo https://github.com/dgraph-io/dgraph). Source: almost 3 years ago

• ORM FOR GO

  I dont use SQL anymore. If you really still have need for fixed schemas, ok, but a graph database like dgraph with graphql makes persisting so much easier, flexible, scaleable and faster. Source: about 3 years ago