One of the best and most cost-effective ways to do this is by deploying applications on top of a distributed relational database. Let’s first consider the problem of data latency. Many applications ...

A distributed SQL database is “lightweight, portable and fast for the cloud, but still reliable and familiar so that application developers can use it for multiple workloads,” he added.

“Database is a critical building block in your applications, and it’s part of the bigger picture of our vision for data analytics and AI.” How AWS is rethinking the concept of distributed ...

Globally Distributed Autonomous Database simplifies the development and use of distributed databases for mission-critical applications by supporting virtually any data type, workload, and programming ...

Distributed database startup DittoLive Inc. said today it has closed on a $45 million early-stage round of funding to help enterprises synchronize application data in situations where there’s no ...

cloud-native transactional applications. In October the startup launched CockroachCloud, a fully-managed distributed edition of its database. The company plans to apply the additional funding to ...

Arcology's first-of-its-kind architecture breaks down these barriers, allowing us to employ distributed databases to process and store transactions at rates unseen elsewhere." The tests prove that ...

Recently, the Dapr maintainers released V1.10 of Distributed ... applications, making it easier to run multiple microservices on Kubernetes and interact with external state stores/databases ...