Can SQL handle large databases?

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The first thing you need to do is profile your query workload over a representative time period to identify where most of the work is being done .Handling large datasets with SQL Server - database - Stack OverflowWhat DB for big databases? - sql - Stack OverflowVery large tables in SQL Server - Stack OverflowHow big can a MySQL database get before performance starts to .Другие результаты с сайта stackoverflow.com

Is SQL Server good for large database?

SQL Server can certainly handle large datasets just fine.

How does SQL Server handle a large database?

The most recommended and best option is to have a STANDBY server, restore the backup of the production database on that server, and then run the DBCC command. If the consistency checks run ok on the standby database, the production database should be ok as it is the source of the standby.

Can MySQL support large databases?

If you have proper indexes, use proper engines (don't use MyISAM where multiple DMLs are expected), use partitioning, allocate correct memory depending on the use and of course have good server configuration, MySQL can handle data even in terabytes!

How does SQL fit with big data?

SQL Databases are vertically scalable – this means that they can only be scaled by enhancing the horse power of the implementation hardware, thereby making it a costly deal for processing large batches of data. NoSQL databases give up some features of the traditional databases for speed and horizontal scalability.

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