Data Lake Engines - The Essential Layer of the Next Generation Data Architecture
In 2015, we partnered with two young founders to build Dremio. Tomer Shiran and Jacques Nadeau had just left MapR, and they came to work from our offices in Menlo Park. We shared a vision for a new way of working with data. Today, the company is announcing a $70M Series C to help them along that journey.
More data is being stored in data lakes like Amazon S3 and Azure Data Lake Storage. At the same time, the BI landscape has blossomed. Analysts and product managers and sales operations teams deploy Tableau, Power BI, Looker, Superset, and many other tools to parse their data. There needs to be a layer between them to make all that data accessible to these users - a data lake engine. That’s Dremio.

