Organizations stuck with slow, mucky data swamps are not alone. Huge companies like Yahoo Inc. and Twitter Inc. may have the resources to create real-time streaming data platforms, but most companies are still searching for a way to provide speedy data to their users. Open source could democratize real-time data tools for more enterprises.

Taking advantage of open-source technology to create an accessible real-time solution for streaming data are Streamlio Inc. co-founders, Lewis Kaneshiro (pictured, right), chief executive officer, and Karthik Ramasamy (pictured, left), chief product officer.

“Essentially, what we are trying to do is reduce the barrier for entry to real time for all enterprises,” Ramasamy said. “So you install the system, and ingest your data, express your computation, and get the results out in one single system.”

Kaneshiro and Ramasamy spoke with Dave Vellante (@dvellante), host of theCUBE, SiliconANGLE Media’s mobile livestreaming studio, at the BigData SV event in San Jose, California. They discussed the purpose behind the formation of Streamlio and how the platform allows enterprises to access new and exciting use cases that weren’t possible before, such as artificial intelligence and machine learning deployment.

Three core components under one hood

Streamlio unifies messaging, compute and stream storage through best-of-breed, open-source technology already created by Yahoo and Twitter, combining the three big data systems under one hood to serve as a single system, according to Kaneshiro and Ramasamy.

One key advantage is that use cases and persisting data are typically stateful. While the platform can be used for stateless use cases, “stateful storage becomes much easier,” said Ramasamy, who explained that stateful storage can be used to store a real intermediate state of the computation or as the staging area of the messaging, or to unlock the value after the data has been processed for the fast data.

“You can access the lazy data later, in time,” he added.

Fees for Streamlio usage are charged on a per-node basis. Why? “Simply because we have the ambition to really scale up and help enterprises,” said Kaneshiro, who envisions Streamlio being used as a fast data platform across the entire enterprise.

Watch the complete video interview below, and be sure to check out more of SiliconANGLE’s and theCUBE’s coverage of the BigData SV event.

Photo: SiliconANGLE