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 ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination"—the ...

Relational databases and the software that access them can be invaluable tools to businesses. Popular relational database management systems include Microsoft SQL Server, Oracle Database, as well as ...

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 ...

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 ...

From AWS, Google and Oracle to Databricks, IBM and Snowflake, here are the top 16 vendors leading the cloud database management systems market, according to Gartner’s new Magic Quadrant. Gartner’s Top ...

A database that maintains a set of separate, related files (tables), but combines data elements from the files for queries and reports when required. The concept was developed in 1970 by Edgar Codd, ...

NoSQL databases arose in response to the limitations of using SQL (Structured Query Language) for database queries. NoSQL databases store and manage data in ways that enable high operational speed and ...

Neon, a startup that’s building a serverless open source alternative to AWS Aurora Postgres, today announced that it raised around $46 million in a new funding round, about $30 million of which came ...