- Long term version
I have used dgraph for more than half a year, it’s great！But it also exposes too many problems, especially when upgrading to a new version.
I think may be dgraph can mark and matain some version as long term version which means it works well with basic function like bulkload/liveload/online mutation/online query etc. That would help those who want to try dgraph or use it in proc env.
I have spend too mucn time to struggle with the problems of dgraph and sometimes it makes me upset.
And In my test, v1.1.1/v1.2.3/v20.03.1 is relatively stable, may be this can help someone to dicide which version to choose.
2.All in one version
For those who want to try dgraph, deploy is still too complex. May be dgraph can ref jadger which supplys a all-in-one release, what you need is just download and run.
Especially, for those data scientist, sometimes what they need is just a graph database which can import/query/visualize data, performance / scalability / distributed is not so important as easy-using. That’s why so many people choose neo4j while the easy-using of cyper and neo4j data browser is something other matters.