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 ...

RogueDB uses protocol buffers and gRPC, or alternatively REST and JSON, to streamline communication between applications and ...

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Last year’s inaugural Supercloud event shed light on the accelerating popularity of multicloud infrastructures as a default enterprise standard and the eventual emergence of an eponymous supercloud ...

GraphQL seems to be spreading like wildfire, and there's a reason for that. As REST APIs are proliferating, the promise of accessing them all through a single query language and hub, which is what ...

With the majority of DBTA subscribers reporting the existence of budgets for modernizing their data platforms, the widespread demand for greater scalability and agility becomes a difficult task to ...

Warehouse-native access is emerging as the fastest, safest path to unified customer intelligence. It isn't without its challenges.

The line between online and offline commerce is increasingly blurry. From Amazon’s move into the real world to traditional retailers like Walmart embracing the virtual one, storefronts now live across ...

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.

“You can’t handle the truth.” We all remember Jack Nicholson’s iconic words in A Few Good Men as a seminal moment in pop culture. Yet, that statement has a lot of relevance for companies and their ...