The PR rep said, “The heyday of the 30-year-old relational database is over, and Oracle has missed the shift to next-generational database technology needed to meet today’s big data challenges ...

Multivalue (NF2, non-first normal form systems): complex data structures with schemas similar to relational database model [Here’s more information about Multivalue databases .] ...

Amazon on Tuesday launched a public beta of a service dubbed the Amazon Relational Database Service (RDS). The main appeal: Allow customers to operate and scale database clusters while leaving ...

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 ...

However, if we want to look at transformed data and aggregated data, relational is easier for doing that.” So, real-time monitoring is done in Hadoop and associated NoSQL databases, but for ...

“All the RDBMS players already extend themselves beyond traditional relational-model databases to support different unstructured data and columnar formats,” said Soumendra Mohanty, executive VP and ...

A new semantic-based graph data model has emerged within the enterprise. This data model has all of the advantages of the relational data model, but goes even further in providing for more ...

Forecasting is a fundamentally new capability that is missing from the current purview of generative AI. Here's how Kumo is changing that.

Most relational databases use the same table format for organizing data. Each row, usually called a record, is divided into columns. A database table can have hundreds or even millions of records.

However, using databases designed for OLTP can result in reliability issues, and the ever-growing data needs make it challenging to manage and meet the real-time transactions requirements.