Google Cloud's innovative Cloud Storage bucket relocation feature enables seamless, non-disruptive data migration across ...

The influence of edge computing on data storage architecture is multi-layered and widespread, and hence, this market trend is justified by the markets and markets analysis.

A headless data architecture means no longer having to coordinate multiple copies of data and being free to use whatever processing or query engine is most suitable for the job. Here’s how it works.

TiDB is a prime example of an intrinsically scalable and reliable distributed SQL database architecture. Here’s how it works.

Management says AI is driving customers to rethink their data storage architecture, particularly for real-time analysis and inference environments.

Discover why modern data architectures are essential for leveraging AI and big data. From scalability and real-time analytics to improved security and cost efficiency, explore the key benefits driving ...

With AI increasing the potential value of enterprise data, and cyber-threats imperiling it, data storage architectures and the tools for managing data have not kept pace.

In 2020, Databricks coined the term “data lakehouse” to describe a data storage architecture with the best features of flexible data lakes and high-performance data warehouses.

Data storage involves systematically archiving digital information to ensure its availability and security for future use.

The American data storage market is set for robust growth, rising from USD 25,312.4 million in 2025 to USD 78,546.0 million ...

Management says AI is driving customers to rethink their data storage architecture, particularly for real-time analysis and inference environments.