The NoSQL database gets its name from what it isn’t: It’s a database that does not use Structured Query Language (SQL) to access the data. Some of the well-known databases, such as Oracle and ...

We look at how to gain structure from unstructured data, via AI/ML analytics to create new records, selecting object data via SQL and storing unstructured files in NoSQL formats.

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.

Announced January 17, Toad Data Studio allows users to manage nearly any database platform in their environment including cloud and on-premises sources and relational, NoSQL, and data warehouse ...

Pros: One-stop shop, a buffet of data interaction options, can be used in multiple clouds Cons: Relatively new Wait a minute, did you say SQL? Yes, SQL. It’s in NoSQL databases now.

Many embedded applications require a database of sorts, but the type can vary widely from ISAM (Indexed Sequential Access Method) to SQL (structure query language). While SQL is readily available ...

Therefore, choosing between relational and NoSQL cloud databases will come down to your needs in terms of schema structure (type of data), data organization, scaling needs, and other factors that ...

NoSQL vs. SQL The fundamental difference between SQL and NoSQL is not all that complicated. Each has a different philosophy for how data should be stored and retrieved.

Like so many technology debates before it, the SQL/NoSQL debate may soon enter the realm of great technology disagreements as Mac versus PC, fieldbus versus Ethernet, and PC versus PLC-based control.

They want to use that data indefinitely to query across the historic data set. YouGov had considered migrating to Microsoft SQL Server but found it couldn't do a number of things.