Relational databases for operations on large data sets are contraindicated because SQL queries tend to consume many CPU cycles and thrash the disk as they process data.

Indexing is a critical part of database optimization. Indexing can dramatically increase query speed. However, DBAs still struggle with finding optimal indexes or optimal SQL plans. DBTA held a ...

These relational databases expanded how companies could store and manage their data, but SQL made it possible to interact with that data in ways that matched their business processes.

Relational (SQL) databases store data in tables with strictly-defined relationships between tables. Non-relational (NoSQL) databases are more flexible and allow for less organized and less ...

A relational database is a set of formally described tables from which data can be accessed or reassembled in many different ways without having to reorganize the database tables. The standard user ...

PostgreSQL implementation of document-oriented NoSQL datastore adopted under permissive MIT license The Linux Foundation on ...

As a result, existing applications, which are still likely to be using a SQL relational database, can bring data through as required into the Hadoop environment, using existing SQL tools to ...

Updates announced at the company’s annual MongoDB World conference this week include new analytics capabilities, a data lake for its Atlas database as a service, and the ability to query ...

SQL (Structured Query language). SQL is the language of choice for most modern multi-user relational databases. This is due to the fact that SQL provides the syntax and idioms (language) you need to ...

In theory, the SQL relational database was just what we needed. When we put it to the test, some of the tables failed to index properly and we kept getting inconsistent results.