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 ...

Every day, businesses depend on data to operate. Customer orders, quotes for new business, conversations around products, campaigns for marketing—pretty much every business process today is based on ...

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 ...

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 ...

With the vendor's Fabric data platform, Database Hub promises a single location for engineers to manage a range of common database services, including Azure SQL Server, multi-model system Azure Cosmos ...

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 ...

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 ...

Reports of the death of the relational database have been greatly exaggerated – at least in the enterprise. According to a new study from Progress Software – the company’s latest annual data ...

SQL has dominated data querying for decades. Newer query languages offer more elegance, simplicity, and flexibility for modern use cases. For the last three decades, databases and Structured Query ...

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, ...