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VMBlog: Data Lake Engine Enables Breakthrough Speed for Analytics on Data Lake Storage

Sep 17, 2019
Lucio Daza

VMblog talks about Dremio’s Data Lake Engine for AWS, Azure and Hybrid cloud.

These are interesting quotes from our customers:

“We process hundreds of thousands of transactions on a daily basis and produce insights based on those transactions; this type of capability requires sophisticated and scalable data platforms,” said Ivan Alvarez, IT vice president, big data and analytics, NCR Corporation. “Dremio is working with NCR to solve the integration between traditional enterprise data warehouse and scalable distributed compute platforms for big data repositories. This integration allows NCR to also cross pollinate data engineering knowledge among platforms and most importantly to deliver faster data insights to our internal and external customers.”

“Organizations recognize the value of being able to quickly leverage data and analytics services to further their data-driven initiatives,” said Mike Leone, senior analyst, Enterprise Strategy Group. “But it’s more important than ever to start with a strong data foundation, especially one that can simplify the usage of a data lake to enable organizations to maximize data availability, accessibility, and insights. Dremio is addressing this need by providing a self-sufficient way for organizations and personnel to do what they want with the data that matters, no matter where that data is, how big it is, how quickly it changes, or what structure it’s in.”

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