Classical Big Data Reading – CAP Theorem

I decided to try writing once in a while a post on some of the classical papers and topics that had major effect on our big data technologies, and there is no better place to start that than the CAP Theorem.

The CAP Theorem by Eric Brewer was a philosophical fuel behind the so-called NoSQL movement, the battle cry that for a while united them all (at least in 2010). CAP stands for Consistency, Availability, (network) Partition tolerance and the theorem claims that in a distributed system, when there is an inevitable network partition (and the cluster breaks into two or more “islands”), you can’t guarantee both availability (for updates) and consistency. However, it was sometimes dumbed down to to a “Consistency, Availablity, Partition Tolerance – pick any two” slogan to explain why an eventual consistency model for a NoSQL database is legit. The discussion usually classified relational databases as “CA” and typically NoSQL databases as “AP”. Here is one example, and another representative one as an image:

Taken from Continue reading