A new generation of graph databases has taken hold, and a generation of query languages has arrived alongside them. The assorted graph database query languages include the likes of Gremlin, Cypher, ...

Overview: AI-driven SQL tools reduce query creation time from 20 minutes to seconds, helping teams answer business questions ...

Across most database types, in-use encryption is a sticking point when it comes to security and scalability. In-transit and at-rest data encryption are becoming table stakes for most large modern ...

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Databases are the backbone of countless applications and systems, yet managing them can often feel like navigating a maze of complexity. If you’ve ever found yourself wrestling with SQL queries, ...

As many developers have come to realize, “Just use Postgres” is generally a good strategy. If and when your needs grow, you might want to swap in a larger and more performant vector database. Until ...

Key-value, document-oriented, column family, graph, relational… Today we seem to have as many kinds of databases as there are kinds of data. While this may make choosing a database harder, it makes ...

Originally, Excel was not designed to be a real database. Its early database functions were limited in quantity and in quality. And because every record in an Excel database is visible on the screen ...

Optimizing the performance of operational databases and the applications that access them is a constant battle for DBAs. Of course, writing efficient SQL is the most important aspect of ensuring ...