Qubole
Qubole is a cloud-based Big Data as a service developer. The company's flagship product, Qubole Data Service, manages Hadoop infrastructure and allows users to prepare, integrate, and analyze big data in the cloud. The company was launched in June 2012 by co-founders Ashish Thusoo and Joydeep Sen Sarma. It is headquartered in Mountain View, California and has an office in Bangalore, India. Qubole has received $7 million in venture capital from investors including Charles River Ventures and LightSpeed Venture Partners.
History
Qubole was founded in October 2011 by Ashish Thusoo and Joydeep Sen Sarma. Thusoo and Sarma were formerly senior big data engineers at Facebook, where they worked from 2007-2011. While at Facebook, they created the social network's big data infrastructure and Apache Hive. Thusoo also managed Facebook's internal data analytics team and served as project lead for Hive with the Apache Software Foundation for a year. Qubole launched in June 2012.
The company closed its series A venture funding round in April 2013. The round was led by Charles River Ventures and Lightspeed Venture Partners. Individual angel investors included Venky Harinarayan and Anand Rajaram. The company announced it had raised a collective $7 million between its seed and series A funding rounds. Qubole expanded ITS Platform to Google Compute Engine in December 2013. It began offering Presto-as-a-service a month later.
Business overview
Qubole's flagship project is Qubole Data Service (QDS), a managed cloud-based Hadoop platform. QDS works with both structured and unstructured data utilizing Apache software components such as Hive, MapReduce, Oozie, Pig, Presto, and Sqoop. Qubole has also released a Python software development kit for building applications in Python that integrate QDS with other tools and applications.
QDS has a user interface that allows users to analyze data sets without knowing Hadoop system management. The platform also allows users to integrate and consolidate data from multiple sources. It is fully elastic and automatically scales or contracts clusters based on workload.