Since that time, SQL has become the dominant language for relational database systems. In recent years, frameworks and architectures have arrived on the programming scene that attempt to hide (or ...

I’m at the Cloud Connect 2010 conference in Santa Clara, Calif., one of the first major gatherings of the year on cloud computing. One of the larger topics that has come up thus far is not using ...

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 ...

In “ The end of SQL databases – part 1,” I covered some background of the SQL language and relational databases, the current status and future for relational databases, the rise of frameworks that ...

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 ...

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 ...

Indexing is a critical part of database optimization. Indexing can dramatically increase query speed. However, DBAs still struggle with finding optimal indexes or optimal SQL plans. DBTA held a ...

Have you noticed that relational "technology" seems to be taking a beating these days? With new “data models” and types of database systems purported to be better than relational, it seems that the ...

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

Looking to expand the footprint of its toolkit giving developers a unified database software that can work for both relational and post-relational databases, YugaByte has raised $16 million in a new ...