Why SQL is not good for big data?

Question

SQL doesn't have a performance, scalability, or price. A specific SQL product has a performance level and may or may not have problems with supporting big data. For example, some SQL products have a very small footprint making them suitable to run on small devices, such as SQLite. 2 мар. 2017 г.

Is SQL good for large data?

You can use SQL effectively with big data—the complex datasets found outside of a relational database environment. However, this requires bridging the inefficiencies in latency that come with querying and processing vast amounts of data.

Will SQL still be relevant in a big data world?

For businesses, the quick answer is yes. Even with tableless databases such as MongoDB and Firebase becoming mainstream, and being advocated for by developers as well as being used in increasing proportion, SQL is still relevant — especially from data persistence and scalable cost perspectives.

What are the disadvantages of SQL?

Disadvantages of SQLPoor Interface. SQL has a poor interface as it makes look everything very complex even when it's not! ... Cost Inefficient. SQL Server Standard costs around $1,418/year. ... Partial Control. SQL doesn't grant the complete control over databases to its users. ... Security.Advantages And Disadvantages Of SQL - Dare2Compete

What is SQL Not Good For?

SQLNoSQLNot suitable for hierarchical data storage.Suitable for hierarchical data storage and storing large data sets (E.g. Big Data).Example of SQL databases: MySQL, Oracle, MS-SQL, SQLite.Examples of NoSQL databases: MongoDB, Apache CouchDB, Redis, HBase.

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