"Dgraph’s commitment to performance, without sacrificing on critically important features like ACID transactions, all while providing excellent community support, has allowed us to focus more on our business logic and less on tuning knobs in our database."
"Dgraph benefits from its team’s years of accumulation in the fields of web search, deep traversals, knowledge graph, etc., which effectively solves the problems of graph segmentation and large fan-out problem."
"I spent 6 months building a graph API backend with a RDS database. It worked but we were battling several problems. The major roadblock came from the rows of data that had to be touched to get the deep graphs we wanted. After spending a week with Dgraph, we deleted 50K lines of code from our old API and generated a completed API simply by writing a single schema file declaring out types only. The amount of work and time that Dgraph saves is simply unimaginable! And on top of that, Slash makes it even easier with a fully managed service. Making a true graph db has never been easier."
"I got the scoop on a new kick-ass GraphQL service that's amazing even in its very early stage. You put the SDL text of your schema and it gives you a usable crud implementation with the push of a button."
“Dgraph is an excellent open source distributed graph database that supports horizontal scaling, distributed transactions, synchronous replication, high availability and low-latency arbitrary-depth joins. By using dgraph, we can query hundreds of billions of relationships with milliseconds delay in high concurrency scenarios, which helps our business develop rapidly. We are very happy to be involved in this project, we have submitted some PR and look forward to contributing!”
“Dgraph does to DBs what SpaceX did to Rockets! I chose Dgraph because I simply could not find any other provider that offered all the features I needed under one platform. From scalability, fault-tolerant, read speed, to handling joins and rebalance of data across shards, Dgraph offers a powerful suite of tools that every GraphQL developer wants. No ORMs, no N+1 problem, GraphQL queries, Dgraph is essential to QuillerBee’s growth efforts.”
“While researching online social structures, I used dgraph to interrogate a large archived sample (about 300 million “follows” relationships) of the twitter social graph. Once ingested, dgraph’s performance made it easy to both query and subsequently prune relationships (e.g. unfollows). Without it, I don’t think I would have even attempted the project. And if I had, I would have probably quit.”