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 ...

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 ...

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 ...

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

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 ...

Poke around the infrastructure of any startup website or mobile app these days, and you’re bound to find something other than a relational database doing much of the heavy lifting. Take, for example, ...

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 ...

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 ...

Next-generation database companies are developing technologies to help businesses manage increasing volumes of data and increasingly complex data types. Not Your Father’s Relational Database The world ...

The structured query language is a powerful tool for connecting to many database systems that store data in tables organized into rows and columns. It's often used on the backend of business websites ...