The original NoSQL systems were built for scale, unstructured data, and did not use relational (table-based) schema. Most early NoSQL solutions dumped SQL as a query language, ... (SQL, NoSQL, NewSQL) ...

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.

These provide some of the things that SQL-based relational databases do but are tuned heavily for handling the demands of big data. VoltDB falls into this category: it's a high-speed SQL database.

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 ...

The SQL/NoSQL debate is principally focused on whether it is better to continue adherence to the SQL database structure, with which manufacturers are most familiar, or hitch our wagons to the NoSQL ...

NoSQL databases did scale much, much better than Oracle Database, DB2, or SQL Server, which are all based on a 40-year-old design. However, each type of NoSQL database had new restrictions: ...

The presentation showcases how multi-model, multimode databases support a combination of the SQL and NoSQL data models, especially JSON and key-value, as well as other workloads. Calculating The ...

Although NoSQL has generated some noise of late, SQL continues to win in the marketplace and continues to earn investment and adoption throughout the big data problem space.

N1QL, designed specifically for JSON-based document data, does just what you would think: it allows users and, perhaps more important, developers, to query Couchbase "buckets" (tables) using SQL ...