Now Available On-Demand | AI. The Future of Data Engineering - Today. Not Just Tomorrow.

Watch now

Matillion wins two STEVIE® Awards in the 2022 American Business Awards®

Matillion platform and CEO Matthew Scullion recognized by one of the world's premier business awards Denver and Manchester, England – June 9, 2022 – Matillion, the leading enterprise cloud data integration platform, has been named the winner of a Silver Stevie® Award in the Most Innovative Tech Company of the Year - Up to 2,500 Employees category, and a Bronze Stevie® Award in the Entrepreneur of the Year - Computer Software - 500 or More Employees category in The 20th Annual American Business Awards®.  The American Business Awards are the U.S.A.’s premier business awards program. All organizations operating in the U.S.A. are eligible to submit nominations – public and private, for-profit and non-profit, large and small. More than 3,700 nominations from organizations of all sizes and in virtually every industry were submitted this year for consideration in a wide range of categories. Matillion received a distinguished honor in the Most Innovative Tech Company of the Year category for enabling enterprises to make their data useful and serving as a key component of the modern enterprise data stack. Matillion’s Universal Connector framework and Matillion Data Loader 2.0 product showcase the company’s commitment to its customers and their needs, as the preeminent platform to load, transform, sync and orchestrate enterprise data. In response to this work, one judge stated that Matillion “clearly demonstrates its success and growth achievement. By helping organizations to know they have access to the right data for any given moment, companies can maximize profit opportunities and minimize costly mistakes or delays, ultimately enabling new levels of efficiency.” “It is an honor to have our work recognized by The American Business Awards. Some of the industry’s most accomplished companies and executives were awarded this year, and we are privileged to share these titles with them,” said Ed Thompson, CTO and cofounder of Matillion. “This achievement is truly a testament to our team and their unwavering dedication to building a world-class data integration solution.” For the Entrepreneur of the Year - Computer Software category, Matillion co-founder and CEO, Matthew Scullion, was recognized for his leadership within Matillion and the larger enterprise technology industry. Matthew’s accomplishments were evident to the judges, who stated, “Matthew Scullion has led the company through two triple-digit funding rounds with growth. The culture and values he sets at the company are reflected at every level.”  Details about The American Business Awards and the list of 2022 Stevie winners are available at www.StevieAwards.com/ABA.       About Matillion Matillion makes the world’s data useful with an easy-to-use, cloud-native data integration and transformation platform. Optimized for modern enterprise data teams, only Matillion is built on native integrations to cloud data platforms such as Snowflake, Delta Lake on Databricks, Amazon Redshift, Google BigQuery, and Microsoft Azure Synapse to enable new levels of efficiency and productivity across any organization. Learn how Matillion delivers rapid returns on cloud investments for global enterprise customers at www.matillion.com.   About the Stevie Awards Stevie Awards are conferred in eight programs: the Asia-Pacific Stevie Awards, the German Stevie Awards, the Middle East & North Africa Stevie Awards, The American Business Awards®, The International Business Awards®, the Stevie Awards for Women in Business, the Stevie Awards for Great Employers, and the Stevie Awards for Sales & Customer Service. Stevie Awards competitions receive more than 12,000 entries each year from organizations in more than 70 nations. Honoring organizations of all types and sizes and the people behind them, the Stevies recognize outstanding performances in the workplace worldwide. Learn more about the Stevie Awards at http://www.StevieAwards.com.