Paxata Recognized in the Gartner Peer Insights ‘Voice of the Customer’: Data Preparation Tools

Paxata, the pioneer in self-service data preparation, announced that it has been recognized for its ratings by end user professionals in the 2019 Gartner Peer Insights ‘Voice of the Customer’: Data Preparation Tools, based on 17 reviews. Paxata is one of two vendors out of eight total vendors who attained the highest two ratings in “Overall Rating,” “Service and Support,” and “Evaluation and Contracting”, with scores higher than Alteryx, Microsoft, and Tableau. Paxata is also one of two vendors out of eight total that received ratings between 4 and 5 across the board from all reviewers as of June 30, 2019.

News: #dataprep provider Paxata (@Paxata) recognized in August 2019 @Gartner_inc Peer Insights ‘Voice of the Customer’: #DataPreparation Tools as reviewed by users

According to Gartner, “Data preparation is an iterative and agile process for exploring, combining, cleaning, and transforming raw data into curated datasets for self-service data integration, data science, data discovery, and BI/analytics. To perform data preparation, data preparation tools are used by analysts, citizen data scientists and data scientists for self-service. The tools are also used by citizen integrators and data engineers for data enablement to reduce the time and complexity of interactively accessing, cataloging, harmonizing, transforming, and modeling data for analytics in an agile manner with metadata and lineage support.”

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For a selection of Paxata’s Gartner Peer Insights reviews, please reference this short video or visit the Gartner Peer Insights site here.

“We are very proud to have received such stellar ratings from our customers in the data preparation tools market during the last 12 months,” said Prakash Nanduri, founder and CEO. “As the pioneer of the self-service data preparation category since 2012, we are humbled to see the confidence our customers continue to have in Paxata and the results they have seen from using our self-service data prep solution. To date, we have created significant business value for customers such as Nationwide, Standard Chartered Bank, AdhereHealth, and Cox Automotive, as evident by this report, and we will continue our commitment to putting our customers first and to innovate and enhance our product based on their valuable feedback.”

With the highest rating in Evaluation and Contracting, Paxata believes it provides the best customer experience. In the past 12 months, Paxata created a Free Trial of its software that includes guided product tours and tutorial videos to make the evaluation of Paxata accessible to business users.

Paxata has also been referenced in the Gartner Market Guide for Data Preparation Tools, which states, “data and analytics leaders must use this research to understand the dynamics of and popular vendors in this rapidly evolving market.”

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Reviews from customers include:

  • “In the past year, the enterprise has saved significant time and money with Paxata by converting outdated manual processes into automated jobs achieved through a robust, intuitive set of functionalities catered towards self-service. When issues arise, our partners have always been there to expeditiously remediate complex challenges and where possible, integrates customer feedback into future iterations of the platform. We’ve tried the competition and it doesn’t compare to what we’ve found in the product and partnership with Paxata.” – link to the review
  • “Paxata is by far the best data prep tool. It has a simple and easy user experience. Vendor support is the best.” – link to the review
  • “Being a Data & Analytics geek and working with variety of data consumer community I see the feature richness and ease of use of Paxata catering to every level of end user from their expertise level. A real great product and excellent service provider.” – link to the review
  • “It was a great experience working with the tool. Paxata offers multiple data prep features that can be applied on large number of datasets from multiple data sources.” – link to the review

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