June 25, 2018 4:17 PM ET

Internet Software and Services

Company Overview of Qubole, Inc.

Company Overview

Qubole, Inc. develops a cloud-based data platform for analyzing and processing data sets. The company’s Qubole Data Service platform simplifies the provisioning, management, and scaling of big data analytics workloads using data stored on Amazon Web Services, Google Compute, or Microsoft Azure infrastructure. It performs big data analytics for data stored and growing in AWS, Oracle, Google, and Microsoft cloud accounts. The company was incorporated in 2011 and is based in Santa Clara, California. It has additional offices in Bengaluru, India; New York, New York; and San Francisco, California.

469 El Camino Real

Suite 205

Santa Clara, CA 95050

United States

Founded in 2011

Phone:

855-423-6674

Key Executives for Qubole, Inc.

Co-Founder & CEO
Co-Founder and CTO
Vice President of Finance
Chief Operating Officer
Chief Information Security Officer and VP of Security, Compliance & Privacy
Compensation as of Fiscal Year 2017.

Qubole, Inc. Key Developments

Qubole, Inc. Presents at Big Data and AI Toronto Conference and Expo, Jun-12-2018 through Jun-13-2018

Qubole, Inc. Presents at Big Data and AI Toronto Conference and Expo, Jun-12-2018 through Jun-13-2018. Venue: Metro Toronto Convention Centre, North Building (255 Front St W.), Toronto, Ontario, Canada. Presentation Date & Speakers: Jun-12-2018, Jean-Louis Quéguiner, Technical Director, Solution Architecture, Sam Der-Kazaryan, Technical Director, Solution Architecture.

Talend and Qubole Partner to Disrupt Big Data Economics with Serverless Cloud Support

Talend and Qubole announced new combined capabilities that help data engineers build and run data pipelines, applications and services in the cloud at a fraction of the cost and without the burden of managing servers. Using Talend and Qubole, customers can eliminate time spent writing complex Spark code for big data processing, and instead use Talend to create data jobs and pipelines that are automatically executed at scale on Qubole’s platform. Deploying and managing big data technologies can be complicated, costly and requires expertise that is hard to find. Serverless computing allows users to run code without provisioning or managing any underlying system or application infrastructure. Instead, the systems automatically scale to support increasing or decreasing workloads on-demand as data becomes available. The integration between Qubole and Talend Data Fabric allows customers to run data jobs and pipelines built within Talend on Qubole’s workload-aware auto-scaling platform, which then adjusts the size of big data clusters dynamically to meet performance needs. Working with Talend and Qubole customers can: Integrate data from various sources into a cloud data lake on Amazon Web Services (AWS) or Microsoft Azure. Build and execute data quality workloads to cleanse, mask and transform data. Design a data pipeline in Talend and select the big data engine of choice to run that job using Qubole’s serverless experience while ensuring enterprise-level security in any cloud. Optimize cloud resources with Qubole’s capabilities for automatically managing and scaling big data engines like Apache Spark, Hadoop and Hive. Leverage Qubole’s automated AWS spot bidding and management to implement the best price-performance ratio when running data preparation jobs. By allowing customers to side-step the need to provision, scale, or manage any servers, the combination of Talend and Qubole can help them dramatically reduce data processing costs as compared to on-premises solutions.

Qubole Announces Executive Appointments

Qubole announced the appointments of Kevin Kennedy as Chief Operating Officer and Mohit Bhatnagar as Senior Vice President of Products. Kennedy has a diverse background having held executive positions leading sales, services and support, as well as marketing, product management and development at PeopleSoft, Oracle and Ooyala. Bhatnagar has deep product and general management expertise with hands-on experience at startups and large enterprises, including NetApp, McKinsey and Symantec.

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