Kafka In the Cloud: Why It’s 10x Better With Confluent | Get free eBook

Welcoming the Distributed Masonry Team to Confluent

Get started with Confluent, for free

Watch demo: Kafka streaming in 10 minutes

Written By

Streaming platforms force a fundamental rethink of the way companies treat the data that describes and drives their business, taking us away from the static notion of data which sits still, in a database, to a more dynamic one where events move around the organization, triggering applications into action, materializing views in different places or being manipulated directly as they flow. This is a vision we’ve believed in for some time, but it’s refreshing to see independent parties come to similar conclusions, and even more so when when they put those conclusions into action.

With this in mind, we are very pleased to announce that the Seattle-based Distributed Masonry team, the innovators behind Onyx Platform and Pyrostore, will be joining Confluent to extend the cloud-native storage and processing capabilities of Confluent Cloud. Not only does the Distributed Masonry team share a similar vision of the future, they made their interpretation a reality with a product whose features reach far beyond a simple ‘lift and shift’ of Kafka onto the cloud.

Innovations like these are important because cloud-native technologies are shaped by a different set of forces to those built for on premise infrastructure, and while streaming platforms are used broadly across every major market segment, we have merely scratched the surface of what is to come. Stay tuned to find out how the Distributed Masonry team and Confluent will help shape this future together.

  • Neha Narkhede is the co-founder at Confluent, a company backing the popular Apache Kafka messaging system. Prior to founding Confluent, Neha led streams infrastructure at LinkedIn, where she was responsible for LinkedIn’s streaming infrastructure built on top of Apache Kafka and Apache Samza. She is one of the initial authors of Apache Kafka and a committer and PMC member on the project.

Get started with Confluent, for free

Watch demo: Kafka streaming in 10 minutes

Did you like this blog post? Share it now