SQL databases have constraints on data types and consistency. NoSQL does away with them for the sake of speed, flexibility, and scale. One of the most fundamental choices to make when developing ...

Heterogeneous database ... cloud and on-premises sources and relational, NoSQL, and data warehouse sources, Quest Software said. A free trial is offered. Toad Data Studio features an advanced SQL ...

Relational databases (SQL) have been used for decades by nearly ... However, with the cloud and commodity servers, companies can now scale out by deploying NoSQL databases to distribute and replicate ...

In fact, many NoSQL databases have added support for SQL-style queries. But in a world where enterprises are deluged by unstructured data from mobile, social, cloud, sensors, and other sources ...

And fed by a Web-generated glut of unstructured data (bus schedules on PDFs, anyone?), Wanderu is powered by MongoDB, a "NoSQL" database—not by Structured Query Language (SQL) calls against ...

What’s less clear is how to transition from legacy relational database management systems to modern NoSQL cloud databases ... backup and restore, in-memory caching, and real-time data processing.

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 ...

Goldberg and Bernhardy liked the scale and ease of use of NoSQL, but still wanted ANSI SQL for actionable ... locking or need in-memory transformation, which often plague database solutions ...

The NoSQL database market ... with social streams and other data that doesn’t fit neatly into a SQL database. There’s also a growing preference for cloud-hosted databases that can be spun ...

However, the success of relational databases could be boiled down to two practical considerations: momentum and the power of the SQL query language. So-called “NoSQL” technology seems to run ...