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This blog post explain the business needs that Dgraph is solving for: https://dgraph.io/blog/post/how-dgraph-labs-raised-series-a/

My comments about Google were accurate. I want to avoid saying anymore on that topic, because that's not my point here.




Thanks for the link. It does indeed illuminate business utility. A problem (for you, not me), is that people might realize they need a dedicated graph database down the track after they've built their infrastructure around a typical RDBMS. Might be a foolish question, but do you have any tooling/strategies that help an org transition to Dgraph, or use it parasitically? Seems if an org could get a taste of what Dgraph could do for them, they'd be more likely to invest in it.

> My comments about Google were accurate.

Accuracy wasn't the issue.

I look forward to seeing where Dgraph goes, and I might give it a try in the future.


So far we have been focused on delivering to folks who already are convinced about graphs. We absolutely need to do a better job at selling Dgraph and showing value early on to the orgs who don't yet understand the need for a graph solution. Our foray into GraphQL is a step in that direction, but we need to do more education.




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