These provide some of the things that SQL-based relational databases do but are tuned heavily for handling the demands of big data. VoltDB falls into this category: it's a high-speed SQL database.

For technical clarification, databases come in two flavors: relational and non-relational. Relational (SQL) databases store data in tables with strictly-defined relationships between tables.

There has been a lot of interest lately in NoSQL databases and, of course, many of us have strong backgrounds and experience in traditional relational 'SQL' databases. For application developers this ...

SQL-aware development tools, reporting tools, monitoring tools, and connectors are available for just about every combination of operating system, platform, and database under the sun, and nearly ...

Nevertheless, to avoid the misconception that NoSQL requires the absence of SQL, some in the non-relational community started describing NoSQL as “Not Only SQL” rather than “NO SQL.” Yet, as ...

SQL provides predefined procedures so that you can use any value in a table to relate to other tables in a database. This helps explain why, odds are, you use a SQL relational database at your company ...

The most popular database products today, as reported by DB Engines rankings, are the relational databases Oracle, MySQL and Microsoft SQL Server. Six of the top ten databases today are relational ...

Relational database-management systems (RDBMS) only model data as a set of tables and columns, carrying out complex joins and self-joins when the dataset becomes more inter-related.

A relational database management system, or RDBMS, is any program that's used to create and use a relational database. Most RBDMSs use Structured Query Language, or SQL, a programming language ...

Back in 2005, Stonebraker and two of his students, Peter Bailis and Joe Hellerstein (members of the 2021 Datanami People to Watch class), analyzed the previous 40 years of database design and shared ...