Relational SQL databases, which have been around since the 1980s, historically ran on mainframes or single servers—that’s all we had. If you wanted the database to handle more data and run faster, you ...

A relational database is a set of formally described tables from which data can be accessed or reassembled in many different ways without having to reorganize the database tables. The standard user ...

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 ...

In the worlds of Big Data, NoSQL and relational databases, Splice Machine's name doesn't come up that often. But a closer look at the company's product, architectural approach and CEO put them on my ...

If you want to know what’s what in Big Data analytics today, you’ve got to know the basics of NoSQL databases, and how appropriate NoSQL databases facilitate Big Data analytics. What are the most ...

Even if generative AI hides SQL behind the curtain, it will continue to play a critical role in how we interact with and use data. In May 1974, Donald Chamberlin and Raymond Boyce published a paper on ...

Inside a relational database management system, the princi­pal persisted data structure is considered a logical relation. Operations performed against that data within the RDBMS result in a logical ...

Most database startups avoid building relational databases, since that market is dominated by a few goliaths. Oracle, MySQL and Microsoft SQL Server have embedded themselves into the technical fabric ...

File-based databases have been around since the dawn of computing. We’ve always needed to have a way of storing records of the same kind of information. In the PC world, we ended up with very popular ...

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, ...