Data scientists, engineers and managers having been working for the past 50 years at methodologies to gain better business insights from large stores of data. Despite advances in cloud data storage ...

The Relational Databases Software Market was valued at USD 45 billion in 2024 and is projected to reach approximately USD 75 billion by 2033, growing at a steady CAGR of 7.5% during the 2026–2033 ...

The cloud has been a boon for enterprises trying to manage the massive amounts of data they collect every year. Cloud providers don’t have the same scaling issues that dog on-premises environments.

Relational databases, once the epitome of data management technology, are becoming increasingly archaic as single servers lack the nuance to support the large quantities of data generated by modern ...

Use of data in the cloud does not differ all that much from traditional in-house database systems, but there are a couple important differences in how you secure data in a cloud environment. Databases ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More RelationalAI, a startup that applies artificial intelligence directly to ...

The addition of Transformational Modeling, Tx, allows data teams to simplify, automate, and collaborate on their end-to-end data modeling workflows. SAN FRANCISCO--(BUSINESS WIRE)--SqlDBM, a leading ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More As enterprises continue to invest heavily in advanced analytics and large ...

Conventional data management systems are fundamentally ill-suited for the world of data as it exists today. These systems, based with few exceptions on the relational data model, are broken because ...

Microsoft Research has had 7,000 downloads of its Comega programming technology, which is intended to bridge the gap between relational, object, and XML data models. Comega, or Cω, is described by ...