Relational databases are the cornerstone of many applications today, but users may hit some significant performance limitations imposed by disk-based storage. The most effective mitigation strategy is ...

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 ...

In a world that is all about new apps and cloud computing, sometimes the important stuff doesn’t look new or cool. Sometimes key small business tools are just functional, they might have been around a ...

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 ...

This is something we've been discussing at work, and I wonder if there's any formal theory or other approaches we might be missing... It is quite common to have a concept of "state" in a database ...

Data scientists, engineers and managers having been working for the past 50 years at methodologies to gain better business insights from large stores of data. Despite advances in cloud data storage ...

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 ...

More than 400 million terabytes of digital data are generated every day, according to market researcher Statista, including data created, captured, copied and consumed worldwide. By 2028 the total ...

Online analytical processing (OLAP) databases are purpose-built for handling analytical queries. Analytical queries run on online transaction-processing (OLTP) databases often take a long time to ...