As you explore how to create new opportunities with AI, it’s crucial to first take a close look at your data architecture.

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.

Did you know that 90% of the world’s data has been created in the last two years alone? With such an overwhelming influx of information, businesses are constantly seeking efficient ways to manage and ...

The headless data architecture is the formalization of a data access layer at the center of your organization. Encompassing both streams and tables, it provides consistent data access for both ...

VAST Data introduced a new AI cloud architecture based on Nvidia's BlueField-3 DPU technology. The architecture is designed to improve performance, security, and efficiency for AI data services. The ...

Data storage and data processing have always been separate functions, but what if they could be unified and achieve much better performance? That’s the promise of computational storage. Although media ...

RisingWave Labs, a company developing a platform for data stream processing, today announced that it raised $36 million in a Series A funding round led by Yunqi Partners, undisclosed corporate ...