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Graph databases


RDBMS, also known as Relational databases, are  structured and easy to query with a language like SQL, but they have limitations when it comes to unstructured data. And scaling usually means buying far more servers and even then , that has limitations.

Not all data, however, is that easily organized. Semi and Unstructured data like IoT sensor data, social media,.  photos, videos, location-based GIS information, web or mobile activity, and usage metrics can’t be neatly broken down nor should be, but nobody wants a data swamp. 

Things like Hadoop, HBase, Cassandra, MongoDB and other NoSQL or NewSQL like databases trade tables for documents or json or blocks or columnar like schemas and more.  

https://www.business2community.com/brandviews/upwork/the-importance-of-graph-databases-in-an-increasingly-connected-world-02094654


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