UPDATED 15:50 EDT / FEBRUARY 09 2017

BIG DATA

Data processing simplification: ‘Real-time’ is not just a moniker anymore | #SparkSummit

As data processing at the edge of the network gets pushed higher in priority by the rise of the Internet of Things, improved data computation and transfer speed are becoming essential operations, according to Manish Gupta (pictured), chief marketing officer of Redis Labs Inc.

“There is a need for faster processing. There is a need for faster insights. And ‘real-time’ is not just a moniker anymore,” Gupta stated.

Gupta spoke with Dave Vellante (@dvellante) and George Gilbert (@ggilbert41), co-hosts of theCUBE, SiliconANGLE’s mobile live streaming studio, at the Spark Summit East 2017 conference in Boston, MA, about Redis Labs’ deployment options, its development philosophies and how he sees the near future shaping up. (*Disclosure below.)

As Gupta described, Redis Labs recognized that “time to market was a big issue” for its customers, so the company focused on improving that. And now, Redis helps organizations “make real-time real.”

Gupta explained the key to Redis’ solutions is in “data structures taking some very complex issues and simplifying them.” And with four deployment models available — Redis Cloud, a VPC environment, software for self-managing or having Redis Labs manage the software — the company is looking to cover all deployment options.

Tuning to fit

“Database is an integral part of your applications stack, but it is a stack, so there’s other components,” Gupta acknowledged, adding that working to improve interoperability is something in that Redis Labs invests in on a consistent basis.

Gupta also highlighted the idea of “tunable consistency,” which recognizes that the needs of consistency vary by business, so allowing flexibility to the customer is important. “We truly believe and support that not all environments require asset support,” he said. But for those that do, the company makes sure to offer high-quality services with an emphasis on “strong eventual consistency.”

Gupta picked out three dimensions considered by Redis Labs in its work: Matching performance to the needs of the use-case; the two aspects of cost, in compute requirements/efficiency and human cost; and time to market. Extrapolating from these, Gupta felt it was essential to get to a point where customers would be able to reduce their data platforms and vendor involvement, not just to simplify contracts, but for the consistency and quickness of their operations.

Redis Modules is part of Redis Labs’ approach to achieving that goal so that users can take their existing databases and port them onto Redis frameworks, with more than 50 translation modules published so far, and more to come.

Clearing out the clutter for users will remain a focal point for Redis Labs, as looking forward, Gupta felt that while architectural consolidation to address capex and opex needs is essential, “at the end of the day, commercial enterprises cannot be at the fragmented volume we have today. … It’s got to be at a higher level of consolidation.”

Watch the complete video interview, and be sure to check out more of SiliconANGLE and theCUBE’s coverage of the Spark Summit East 2017 Boston. (*Disclosure: TheCUBE is a media partner at the conference. Neither Databricks nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)

Photo by SiliconANGLE

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