Today’s applications—including enterprise applications—need to be always on and always available and often must serve a global base of users who expect almost instantaneous response times regardless ...
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 ...
Think about the promise of what AI is able to accomplish in terms of helping with software production and systems operation. Part of the business appeal of realigning operations with AI has to do with ...
When XML came along five years ago, promising to rewrite the rules of data management, vendors of relational databases took note, but they didn’t panic. They’d already seen this movie a decade before, ...
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 ...
This paper discusses the advantages of plant-wide historians over RDBs for data collection and time-series data optimization to enable true process visibility. There are critical capabilities that ...
Learn the key differences between relational and NoSQL databases with this in-depth comparison. There’s nothing wrong with the traditional relational database management system. In fact, many NoSQL ...
Microsoft SQL Server is a relational database service that supports transactional processing and analytics. With a 30-plus year history, SQL Server has been a mainstay at many organizations. Now, ...
While relational databases rely on rigid structures, document databases are much more natural to work with and can be used for a variety of use cases across industries. A document database (also known ...
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