SQL based DBs, the ancient king of data storage technologies is showing its age.
The SQL language itself is just archaic. Try writing rollback scripts for undoing cross table joins. (for example).
Data normalization comes at a huge run-time join price, especially when database sizes are in exa-byte land. Ever have a query take a day? Only to be canceled by DBAs for too much resources?
Json based No Sql Dbs disrupted the SQL train. As storage costs plummented, document based DBs made sense. Plus they are fast and better suited to the internet.
I wonder how many Google searches use SQL?
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SQL based DBs, the ancient king of data storage technologies is showing its age.
The SQL language itself is just archaic. Try writing rollback scripts for undoing cross table joins. (for example).
Data normalization comes at a huge run-time join price, especially when database sizes are in exa-byte land. Ever have a query take a day? Only to be canceled by DBAs for too much resources?
Json based No Sql Dbs disrupted the SQL train. As storage costs plummented, document based DBs made sense. Plus they are fast and better suited to the internet.
I wonder how many Google searches use SQL?