Relational databases for operations on large data sets are contraindicated because SQL queries tend to consume many CPU cycles and thrash the disk as they process data.

Indexing is a critical part of database optimization. Indexing can dramatically increase query speed. However, DBAs still struggle with finding optimal indexes or optimal SQL plans. DBTA held a ...

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 ...

mcp_ohmy_sql is an open-source Text-to-SQL system developed for deployment in enterprise production. It is not about specific ...

Relational database management systems (RDBMS) rely on an optimizer (or relational optimizer) that transforms SQL statements into executable code. Before any SQL statement can be run by the RDBMS, the ...

Poke around the infrastructure of any startup website or mobile app these days, and you're bound to find something other than a relational database doing much of the heavy lifting. Take, for ...

PostgreSQL implementation of document-oriented NoSQL datastore adopted under permissive MIT license The Linux Foundation on ...

For businesses that want to run analytics on low-cost Hadoop clusters, fully compliant SQL is now possible natively on the big data platform, according to Actian.

If the history of relational databases is any indication, what is going on in graph databases right now may be history in the making.