Couchbase, Inc. introduced breakthrough scaling technology that substantially increases application performance and dramatically reduces costs. Multi-Dimensional Scaling provides the option to isolate ...

Learn how a unified data platform reduces duplication, improves data placement and enables AI-scale performance across regions and clouds.

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More A primary challenge for any database in the modern AI era is scalability.

While vector databases still have many valid use cases, organizations including OpenAI are leaning on PostgreSQL to get things done. In a blog post on Thursday, OpenAI disclosed how it is using the ...

The end of the unstructured data problem perfectly encapsulates the transformative benefits and potential risks of agentic AI ...

When building a product or application, most systems designers understand that you can't have it all. Creating a high-performing and scalable system can be a daunting challenge since those ...

The concept of database sharding has gained popularity over the past several years due to the enormous growth in transaction volume and size of business-application databases. This is particularly ...

Understand the two dimensions of scaling for database query and ingest workloads, and how sharding can make scaling elastic—or not. Scaling throughput and performance are critical design topics for ...

TiDB is a prime example of an intrinsically scalable and reliable distributed SQL database architecture. Here’s how it works. In the good old days, databases had a relatively simple job: help with the ...

Kalinagaswamy: Both have their own challenges. Scale-up may have hundreds of GPUs or accelerators, and they have to work in a scale-up network. Scale-out is point-to-point. They cannot make that many ...