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 ...

For a long time, companies have been using relational databases (DB) to manage data. However, with the increasing use of large AI models, integration with graph databases is now required. This process ...

In the beginning, there were files. Later there were navigational databases based on structured files. Then there were IMS and CODASYL, and around 40 years ago we had some of the first relational ...

Several major database systems provide extensions to support the management and analysis of spatial data in a relational database system (IBM02, Ora01 and IBM01). The functionality is also ...

So you are a system architect, and you want to make the databases behind your applications run a lot faster. There are a lot of different ways to accomplish this, and now, there is yet another — and ...

Even after 50 years, Structured Query Language, or SQL, remains the native tongue for those who speak data. It’s had impressive staying power since it was first coined the Structured Query English ...

Data estates are expansive. Organizations in all business verticals are operating data stacks that run on a mixture of legacy technologies that work effectively but aren’t always easy to move or ...

Part 2 of CRN’s Big Data 100 includes a look at the vendors solution providers should know in the big data database system space. Left On Base The total amount of data created and replicated worldwide ...

NoSQL databases arose in response to the limitations of using SQL (Structured Query Language) for database queries. NoSQL databases store and manage data in ways that enable high operational speed and ...