Yeah am agree with Brandin Chiu. RDBS are not designed to handle changes. Today, change occurs frequently, and data modeling is a huge challenge because of the time and resources that relational databases require. Unfortunately, when using a relational database, even a simple change like adding or replacing a column in a table might be a million dollar task. RDBMS can not handle 'Data Variety'. The amount of , Whereas in Cassandra (a NoSQL database), you can add a column to specific row partitions. For every change you make, you should ensure strict ACID properties.
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Yeah am agree with Brandin Chiu. RDBS are not designed to handle changes. Today, change occurs frequently, and data modeling is a huge challenge because of the time and resources that relational databases require. Unfortunately, when using a relational database, even a simple change like adding or replacing a column in a table might be a million dollar task. RDBMS can not handle 'Data Variety'. The amount of , Whereas in Cassandra (a NoSQL database), you can add a column to specific row partitions. For every change you make, you should ensure strict ACID properties.
To be clear: I'm referring to schema changes being tricky in nosql solutions, not relational systems.