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December 01, 2015 8:07 AM ET

Internet Software and Services

Company Overview of Paxata, Inc.

Company Overview

Paxata, Inc. provides adaptive data preparation platform that delivers raw data to ready data for business analysts in the United States and internationally. Its platform enables users to connect, explore, transform, and combine data on their own or work with peers in a shared and transparent environment as they shape data for analytics. The company also provides Data Time Machine, a cloud-based data governance solution that provides security, versioning, and usage visibility. Paxata, Inc. has a strategic relationship with Cisco. The company was founded in 2012 and is headquartered in Redwood City, California.

2317 Broadway Street

Suite 10

Redwood City, CA 94063

United States

Founded in 2012



Key Executives for Paxata, Inc.

Co-Founder, Chief Executive Officer and Director
Co-Founder, Chief Technology Officer and Director
Co-Founder and Vice President of Sales & Business Development
Co-Founder and Vice President of Products
Head of Product Development
Compensation as of Fiscal Year 2015.

Paxata, Inc. Key Developments

Paxata and Cisco Announces Jointly-Developed Solution at Strata + Hadoop World NY

Paxata announced a strategic relationship with Cisco which includes a jointly-developed solution, Cisco Data Preparation (CDP), which is being announced at Strata + Hadoop World NY. The relationship includes tight coordination on go-to-market plans and sales engagement strategies across Cisco’s direct and partner ecosystem. Cisco Solutions Manager Bill Kellett will demonstrate CDP in Cisco booth # 425. Powered by Paxata, the Cisco Data Preparation offering is a complete software, hardware and services solution. The solution will simplify user adoption and accelerate benefits: Leveraging an easy-to-learn and use Excel-like interface and powerful machine intelligence algorithms from Paxata, CDP removes barriers to adoption and elevates business analysts’ skills. Two-way integration with Cisco Data Virtualization helps leverage prior IT investments and closes the gap between the business and IT. CDP’s massively scalable Hadoop and Spark-based architecture ensures that CDP users won’t be constrained by the size of data sets or complexity of analysis. Cisco Unified Computing Systems (UCS) Integrated Infrastructure for Big Data integrates the computing, storage, connectivity, and unified management capabilities needed for high-performance, high-reliability CDP operations. Plus a complete set of Cisco and Partner provided “Plan” and “Build” services ensure CDP implementation success. While Cisco Data Preparation is sold as a standalone offering, it is ideal for Cisco customers who have invested in Cisco Data Virtualization, Cisco Connected Analytics, Unified Computing Systems and data center investments who want to take a major step forward in their business agility journey. A summary of these benefits is available in this research report authored by Rick F. van der Lans, Independent Business Intelligence Analyst for R20/Consultancy. Cisco will co-present with Paxata at Strata, in a session entitled: “Expanding mind to fit the Big Data Center.” Cisco Director of Technical Marketing, Bob Eve, along with Cisco Consulting Systems Engineer Robert Novak and Paxata’s co-founder and VP of Products Nenshad Bardoliwalla will discuss the hyper-convergence of software and hardware and the power of unification, which is completely upending the price-to-performance ratio of enterprise Big Data computing. Cisco will also be showcased in Paxata’s booth # 301 at the Strata + Hadoop World NY Conference being held on September 29 through October 1, 2015. Attendees will get to experience a hands-on money laundering detection demo which allows them to bring billions of rows of transaction data from multiple systems, combine them all and detect suspicious activities in under five minutes, without any need for sampling or coding. This demonstration of interactive data preparation at massive scale will run on two Cisco UCS boxes, running eight Apache Spark nodes (C240s), four application servers (C 240s) nodes and three Mongo nodes (C220). This combination provides a streamlined approach to data processing and preparation, all while bypassing the need for a data warehouse layer. A reference architecture published by Cisco will be available at the Paxata booth.

Paxata Names Shankar Ganapathy as Vice President and Chief Revenue Officer

Paxata, Inc. announced it has appointed Dr. Shankar Ganapathy as Vice President and Chief Revenue Officer. Dr. Ganapathy will drive the company's long-term profitable revenue generation strategies and lead all field, sales operations and go-to-market teams. Shankar joins Paxata from MicroStrategy where he was, as an early employee, integral to building out a highly effective go-to-market organization. He was, most recently, Senior Vice President in charge of the company’s Asia-Pacific & Japan operations and was instrumental in driving significant scale and growth in that business. Prior to that, Shankar developed and grew MicroStrategy's Channels business globally and also held leadership positions in the company’s Professional Services business. Shankar was educated at the Indian Institute of Technology (Roorkee), MIT and Yale University.

Paxata and Carahsoft Partner to Fill the Gap in Big Data Analytics Stack

Paxata announced its partnership with Carahsoft Technology Corp. to bring the award-winning Paxata Adaptive Data Preparation application and platform to government agencies to help them automate, collaborate and dynamically govern the data integration, data quality and enrichment process in a self-service fashion. Carahsoftjoins existing Paxata government partner In-Q-Tel, a not-for-profit, strategic investment firm that works to identify, adapt, and deliver innovative technology solutions to support the missions of the U.S. Intelligence Community, within the Paxata partner program to address the tremendous increase in demand from State, Local and Federal government organizations for a solution that addresses data preparation at scale.

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