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 ...

Integrated caching: In order to increase data through and increase performance, advanced NoSQL techniques cache data in system memory. This is in contrast to SQL database, which has to be done ...

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 ...

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 ...

Yugabyte, the distributed SQL database experts, today announced its support of the new document database-compatible Postgres ...

which allows the database to shapeshift and serve different use cases from the same data store, such as search, analytics, time-series, and graph. And most NoSQL vendors have even embraced good old ...

SQL may be the lingua franca of relational databases, but graph and vector databases are something different. In fact, commercial graph and vector databases carry the descriptor “NoSQL.” Ironically, ...

Relational (SQL) databases store data in tables with strictly-defined relationships between tables. Non-relational (NoSQL) databases are more flexible and allow for less organized and less ...