MongoDB Vs Hadoop – Reasons to Know Which is Better for Big Data?

The amount of information produced globally is growing exponentially and is currently doubling in size every two years. It's predicted that through the year 2021, the records available will reach 44 zettabytes (44 trillion gigabytes). The processing of huge quantities of data no longer appropriate for traditional strategies and although the term Big Data gained popularity in recent years, the concept has been around for over a decade. So as to cope with this explosion of data increase, diverse big data structures were conceived to assist control and structure this Data. There are currently a hundred and fifty specific no-SQL solutions, which can be non-relational database-driven structures that might be regularly associated with big data, despite the fact that not they all are considered big data solutions. While this will look like a large number of alternatives, a lot of these techniques are used alongside other, tailor-made solutions.

 


 

 

 

Originally published at – MongoDB Vs Hadoop: Reasons to Know Which is Better for Big Data?

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