How does SQL fit with big data?

Question

SQL queries are executed in parallel, across nearly 40,000 cores per server, yielding massive speedups. MapD can process complex datasets faster and with less .

Is SQL suitable for big 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.

Why SQL is not good for 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.

Expert · Answer

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.

Expert · Answer

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.

How does SQL fit with big data?

Is SQL suitable for big data?

Why SQL is not good for big data?

Related Questions