A database that maintains a set of separate, related files (tables), but combines data elements from the files for queries and reports when required. The concept was developed in 1970 by Edgar Codd, ...

FOSTER CITY, Calif., June 26, 2024 (Newswire.com) - Silicon Valley startup Keyark, Inc. has released its new-generation KeySQL database technology, enabling non-programmers to efficiently analyze fast ...

A recent study released by big data visual tools developer Zoomdata shows that data analytics has crossed the digital Rubicon, with non-relational database management systems (RDBMS) now comprising 70 ...

MongoDB provides an essential and long-overdue update to database technology: non-relational databases. Relational databases, like the ones first popularized by Oracle decades ago, contain rows and ...

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 ...

NoSQL databases, also referred to as non-relational, continue to grow in popularity both on-premises and in the cloud. Of the 395 different database management systems tracked by site DB-engines, more ...

As I wrote in “How Databases Work with Ecommerce Applications,” you’re likely using a database for your ecommerce store even if you don’t know it. Ecommerce sites typically use databases for: ...

Excel possesses formidable database powers. Creating a relational database starts with a Master table that links it to subordinates, called (awkwardly) Slave, Child, or Detail tables. Before we dive ...

Relational databases are a staple across industries, but graph databases offer different capabilities that may fit enterprise needs better. Graph databases are one of four popular NoSQL database types ...

Vector databases are making a resurgence as generative AI hype sweeps across every industry. Organizations with developed graph and relational databases may question if they need to add another ...