While no data is ever completely secure, organizations can take plenty of actions to reduce the risk profile their database ...

Data underpins business success. As a result, more organizations are making substantial investments in data management strategies. A survey by HFS Research and Syniti found that 65% of respondents ...

Relational Database Management Systems (RDBMSs) continue to do the heavy lifting in data management, while newer database management systems are taking on prominent roles as well. NoSQL database ...

A graph database is a dynamic database management system uniquely structured to manage complex and interconnected data.

Next-Gen Data Management focuses on issues of interest to database professionals in the context of the larger systems, IT, and business environment. Topics include the impact of new technologies and ...

Cloud DBMSs obviously have capabilities beyond their integration with third-party data management tools and broader data ecosystems. But as Gartner has shown, the ecosystem grade of a database is ...

Also bringing graphs to the modern data management stack are graph specialists such as Cambridge Semantics, Franz, Neo4j, TigerGraph and others. Multimodel databases have come to support a Swiss ...

Data management platforms (DMPs) help organizations collect and manage data from a wide array of sources — and are becoming increasingly important for customer-centric sales and marketing campaigns.

In conclusion, Serverless databases mark a pivotal shift in the evolution of cloud-native data systems. Their ability to abstract infrastructure, automate scaling, and optimize costs makes them ...

Tessell, a startup developing a multi-cloud database-as-a-service, has raised $60 million in a new funding round led by WestBridge Capital ahead of its plans to expand its market presence and ...