UPDATED 12:49 EDT / OCTOBER 12 2017

BIG DATA

Paxos algorithm enables continuous replication of data across regions and storage systems

As global footprints expand alongside data governance laws, companies require robust data replication solutions that span geographic regions and can handle immense data sets in real time. While some offerings are beginning to address the problem of backing up data as it’s being written, the challenge is to do so with power, at scale. One company thinks it’s come up with the right formula.

“The Paxos algorithm is the only way for you to do active-active replication, and ours is the only Paxos implementation …” said Jagane Sundar (pictured), chief technology officer at  WANdisco PLC’s. WANdisco is a data management company that holds the only patented implementation of the Paxos algorithm for continuous regression, Sundar added.  

Sundar spoke with John Furrier (@furrier) and Peter Burris (@plburris), co-hosts of theCUBE, SiliconANGLE Media’s mobile livestreaming studio, during the recent BigData NYC event about the benefits of continuous replication. (* Disclosure below.)

Truly distributed backup

With true continuous replication, data streams can be stored anywhere across the globe into any storage system without fear of consistency issues. By building partnerships with the key cloud players, WANdisco is providing its customers with complete flexibility over how and where their data is being stored.

“Once you have that capability, now customers are freed from lock-in from either a cloud vendor or a Hadoop vendor, and they love that,” Sundar said. 

This seemingly bulletproof approach to data replication first gained interest from the financial sector where data consistency and recovery is a legal mandate, Sundar pointed out. Beyond regulated sectors, industries that generate large data sets very quickly also benefit from being able to synchronously write and backup data across any storage system.

“A lot of the automobile companies are generating vast amounts of data from their cars, and you can’t push all that data into a single data center. That’s just not reasonable. You want to push that data into a single data store that’s distributed across the world in just wherever the car is closest to,” Sundar concluded. 

Watch the complete video interview below, and be sure to check out more of SiliconANGLE’s and theCUBE’s coverage of BigData NYC 2017. (* Disclosure: WANdisco PLC sponsored this segment of theCUBE. Neither WANdisco nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)

Photo: SiliconANGLE

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