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 database management systems (RDBMS) rely on an optimizer (or relational optimizer) that transforms SQL statements into executable code. Before any SQL statement can be run by the RDBMS, the ...

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 ...

Naresh Miryala is an accomplished engineering leader at Meta with nearly two decades of experience in cloud and data platform engineering. As someone deeply involved in the database space, the rapid ...

With the proliferation of XML as a new common data format, the problem of managing XML documents has become more critical. New technologies are now available that allow organizations to better manage ...

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Chat2DB, an open source SQL client enhanced by artificial intelligence, has introduced significant updates designed to reshape how professionals manage and interact with databases. By incorporating ...

Companies are now managing a variety of open source and non-relational databases alongside relational databases like SQL Server and Oracle. While managing these systems involve the same set of ...

How much data do large corporations manage? Tons of it. Referring to “tons” of data may be intuitive for paper records, but it’s an unusual way to describe computer-stored information, which is ...

AI investment is reshaping software stocks as scale, data and execution drive long-term growth, says RBC Capital Markets’ ...