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Dremio Recognized for Product Innovation and Leadership with Recent Industry Awards

Company Lauded for Big Data and Business Analytics Offerings

Dremio, the data lake engine company, announced the addition of notable awards to its growing awards roster, from CRN, DBTA and Pagan Research’s list of “The Most Promising Big Data Startups in the World.”

.@Dremio technology innovation recognized by @CRN, @DBTA

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  • CRN “10 Hottest Big Data Startups of 2019” – According to CRN “Sales of big data and business analytics offerings are expected to grow at a double-digit pace over the next five years, and that industry growth is spurring a steady stream of startups developing innovative big data products.” Dremio was recognized as one of the top 10 startups leading this innovation.
  • DBTA “Trend-Setting Products in Data and Information Management for 2020” – To help showcase innovative products and services each year, Database Trends and Applications looks for “offerings that promise to help organizations derive greater benefit from their data, make decisions faster, and do so with higher levels of security.” Dremio’s Data Lake Engine is among the list of innovative products included.
  • Pagan Research’s list of “The 40 Most Promising Big Data Startups in the World” – Pagan Research reports that “Big Data is among the game changers, capable of transforming the entire face of technology as we know it. Being a part of this revolution will help you shape the future because Big Data is the future, and the dawn of a new era.” Dremio was among the companies recognized as one of the world’s 40 most amazing big data startups.

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“To be recognized by such well-known and highly respected industry authorities is a reflection of our commitment to delivering a simpler, more efficient and effective way to get value from data,” said Jason Nadeau, vice president of marketing, Dremio. “It’s an exciting time in the big data and analytics industries as the emergence of new core technologies like cloud data lake storage create the opportunity for a ground-up re-architecture of legacy analytics and data warehousing solutions.”

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