I'd say that one of the biggest thing that many of these NoSQL data stores brings is auto-sharding and being able to query/map reduce a distributed data source. Relational dbs work pretty well so long as you can vertically scale your data and or don't need to query across databases. Horizontal scaling is the tricky part for relational dbs that NoSQL data stores market as their big selling point.
I remember reading that article. The article spoke like the lessons of an inexperienced developer, and not necessarily the problems of technology they were complaining about. BTW, what do you mean by AQL.
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I'd say that one of the biggest thing that many of these NoSQL data stores brings is auto-sharding and being able to query/map reduce a distributed data source. Relational dbs work pretty well so long as you can vertically scale your data and or don't need to query across databases. Horizontal scaling is the tricky part for relational dbs that NoSQL data stores market as their big selling point.
Indeed, an the AQL looks interesting for the use case where Mongo fails, e.g. http://www.sarahmei.com/blog/2013/11/11/why-you-should-never...
I remember reading that article. The article spoke like the lessons of an inexperienced developer, and not necessarily the problems of technology they were complaining about. BTW, what do you mean by AQL.
The idea of AQL (ArangoDB Query Language) is to bring an SQL query-like language to a document-store, most notably enabling joins between documents.
Being able to join documents in a query would be very useful in mongo. That is promising to hear that ArangoDB had that feature.