Qubole unveiled a new offering designed to help organizations develop streaming data pipelines.
The data lake vendor, founded in 2011 and based in Santa Clara, Calif., offers a cloud-based open data lake platform designed to foster analytics and machine learning. Its latest offering, Qubole Pipelines Service, was released Aug. 18 and adds to the capabilities of its open data lake by enabling organizations to manage streaming data from varied sources on a single platform so they can quickly turn that real-time data into action.
With augmented intelligence and machine learning along with the internet of things creating more and more streaming data, organizations will increasingly need to turn to platforms that can quickly extract, load and transform that data so they can subsequently use it to make the data-driven decisions that will drive their business.
Qubole Pipelines Service — which is now in open beta testing after being in dark beta testing until Aug. 18 — addresses the specific need created by ever-increasing amounts of data coming in at ever-faster rates from an ever-rising number of sources. According to Qubole co-founder and CTO Joydeep Sen Sarma, it both makes streaming data more accessible and lowers the complexity of moving