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 ...

Naresh Miryala is an accomplished engineering leader at Meta with nearly two decades of experience in cloud and data platform engineering. As someone deeply involved in the database space, the rapid ...

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 ...

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 ...

Overview: PostgreSQL leads in developer popularity in 2026 and offers advanced features for complex workloads.MySQL remains ...

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 ...

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 ...

Legacy databases are a bottleneck to digital transformation, a Vanson Bourne survey of 450 heads of digital transformation in organisations with 1,000 employees has found. The survey, which is ...

It’s not exactly clear where we are in the Gartner Hype Cycle with respect to so-called “NoSQL” databases. We’ve definitely been through the Trough of Disillusionment, but are we in the Slope of ...

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 ...