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Tag Archive for scalability

why are noSQL databases more scalable than SQL?

Recently I read a lot about noSQL DBMSs. I understand CAP theorem, ACID rules, BASE rules and the basic theory. But didn’t find any resources on why is noSQL scalable more easily than RDBMS (e.g. in case of a system that requires lots of DB servers)?

Is this solution RESTful and secure?

Our product registers new players on our service, and we’ve chosen to host it on Azure (we’re using .NET) and we wanted it to be stateless (for scalability) and relatively secure.

Designing an scalable message queue architecture

I have recently started learning the nuances of scalable and enterprise computer architecture, and one of the central components is a messaging queue. In order to learn the most I can from any programming paradigm, I am trying to implement my own version of a messaging queue service.

At what size of data does it become beneficial to move from SQL to NoSQL?

As a relational database programmer (most of the time), I read articles about how relational databases don’t scale, and NoSQL solutions such as MongoDB do.
As most of the databases I have developed so far have been small to mid scale, I have never had a problem that hasn’t been solved by some indexing, query optimization or schema redesign.

At what size of data does it become beneficial to move from SQL to NoSQL?

As a relational database programmer (most of the time), I read articles about how relational databases don’t scale, and NoSQL solutions such as MongoDB do.
As most of the databases I have developed so far have been small to mid scale, I have never had a problem that hasn’t been solved by some indexing, query optimization or schema redesign.

At what size of data does it become beneficial to move from SQL to NoSQL?

As a relational database programmer (most of the time), I read articles about how relational databases don’t scale, and NoSQL solutions such as MongoDB do.
As most of the databases I have developed so far have been small to mid scale, I have never had a problem that hasn’t been solved by some indexing, query optimization or schema redesign.