Start Wrangling

Speed up your data preparation with Trifacta

Free Sign Up
Free Data Cleaning for Amazon Redshift

Improve Your Cloud Initiatives with Wrangler Pro on Amazon Redshift

Free Trial
Upcoming Forrester Webinar

Best Practices for Scaling Data Preparation for ML and AI

Register
Schedule a Demo

Get the Report

In the 2019 edition of Gartner’s Data Preparation Market Guide, Senior Director Analyst Ehtisham Zaidi shares his insights into the past, present and future of data preparation platforms. Ehtisham’s annual report is the leading research on the data preparation industry encompassing a wide range of input from users, customers, partners and technology providers.


Read this report to learn:

  • The role of data preparation in accelerating the adoption of data lakes
  • Why operationalization of data preparation flows continues to be the most important differentiator to drive adoption
  • How data engineers have emerged as key users & administrators of data preparation platforms
_________________________________________________________________

*Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

Gartner, Market Guide for Data Preparation, Ehtisham Zaidi, Sr Director Analyst, Sharat Menon, Assoc Principal Analyst, Published 17 April 2019

GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, and is used herein with permission. All rights reserved.

""Trifacta brought an entirely new level of productivity to the way our analyst and IT teams explore diverse data and define analytic requirements. Our users can intuitively and collaboratively prepare the growing variety of data that makes up PepsiCo’s analytic initiatives.""

""We were actually able to shave the amount of time it took to do the analysis by [a factor of] six. Rather than having to do a tremendous amount of analysis, we’re actually readily able to start getting incremental data products out quickly.""