Technology Editor Bill Wong examines the differences between SQL, NoSQL, and NewSQL databases.

For many other NoSQL systems, support for SQL is rendered moot by their schema-free design. Schemas essentially restrict and define the types of records that can be stored in a database.

SQL is orthogonal to data representation and storage. Some SQL systems support JSON and other structured object formats with better performance and more features than NoSQL implementations.

Major NoSQL systems are flexible enough to better enable developers to use the applications in ways that meet their needs. SQL NoSQL Comparision and Conclusion: ...

SQL-based relational database systems are indeed as moribund as NoSQL advocates charge, he argued. But this is the fault of the database vendors themselves, not SQL.

As more computing functions move to the cloud, a relatively new database format — NoSQL — is poised to take the place of the SQL database on which so many manufacturers rely. Automation experts weigh ...

RDBMS: Relational Database Management System. SQL: Structured Query Language, also used to refer to databases that use SQL as their query language. NoSQL: used to refer to a class of databases that ...

NoSQL promises kept and promises broken NoSQL databases did scale much, much better than Oracle Database, DB2, or SQL Server, which are all based on a 40-year-old design.

The gap between conventional SQL and NoSQL databases has been narrowing over time with the addition of SQL querying for NoSQL systems, such as Splice Machine.

NoSQL is a whole new way of thinking about a database. Though NoSQL is not a relational database, the reality is that a relational database model may not be the best solution for all situations.