Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...

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 ...

For the most part, you're probably accustomed to using Microsoft Excel for tasks such as preparing reports, forecasts, and budgets. However, Excel is much more powerful than that. It can be used to ...

Designing an appropriate set of indexes can be one of the more troubling aspects of developing efficient relational database applications. Perhaps, the most important thing you can do to assure ...

Updates announced at the company’s annual MongoDB World conference this week include new analytics capabilities, a data lake for its Atlas database as a service, and the ability to query encrypted ...

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 ...

With more big data options than ever before we are now in the post-relational database era, according to David Teplow, CEO, Integra Technology Consulting. However, professionals aren’t done with ...

Microsoft broke new ground in scalability when it launched Azure SQL Database Hyperscale. Here's what it took to make Microsoft's hyperscale vision work with the existing Azure infrastructure. When ...