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.

NoSQL, on the other hand, is an RDMS used in data warehousing. “Data is stored (in NoSQL) in a format similar to a flat table and generally not as highly normalized as SQL. This (NoSQL structure) is ...

Some NoSQL products can use SQL-like syntax to work with data, but only to a limited extent. For example, Apache Cassandra, a wide column store, has its own SQL-like language, the Cassandra Query ...

The NoSQL concept evolved from key/value stores, supporting the storage of a "key" (unique identifier) and a "value" (any arbitrary data type or sequence of bytes). These databases utilize an ...

SQL and NoSQL have been great inventions over time in order to keep data storage and retrieval optimized and smooth. Criticizing any one of them will not help the cause.

That data can be in any format; ... Blending NoSQL and SQL makes sense. We can store data in whatever way makes sense for our projects, and pick and choose the engines we use.

It's not so much a black and white, SQL vs. NoSQL situation, of course: TokBox still kept SQL databases around. That's where his team fed portions of Hadoop output for analysts to query more easily.

In any case, it seems that the SQL DB’s addition of JSON storage is an after-thought whereas NoSQL document DBs have obviously been purpose-built. At the same time, we can observe the acquisitions by ...

NoSQL is building momentum of its own, and providing the familiarity and power of SQL is how it's being done. Skip to main content Events Video Special Issues Jobs ...

Database software vendor FoundationDB has acquired Akiban, another purveyor of database software, in a move to develop a hybrid data-store application capable of storing both SQL and non-SQL data ...