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

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 .] ...

Not all data can be shoehorned into a particular model, whether relational or otherwise. That’s why there are so many different database options in the market. The need for multiple data models ...

“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 ...

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 ...

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 ...

Increasingly, customers are demanding that their databases take on multiple chores. Emergence of multi-model databases providing developers multiple paths through APIs is the latest evidence of ...

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 ...

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.