Newsroom

Dremio’s aims to eliminate the middle layers and the work involved between the user and the data stores towards decoupling compute and data.

New low-latency query technology accelerates BI dashboard queries on Amazon S3 and Azure Data Lake Storage.

Dremio closed on $135 million in Series D funding.

DBTA held a webinar discussing how to find and best implement that balance between the data warehouse and data lake.

Dremio is the first new tech unicorn of 2021 from the Bay Area. Read the full article from the Silicon Valley Business Journal.

In this interview article, Dremio’s CEO Bill Bosworth outlines why the vendor is growing as organizations increasingly rely on cloud data storage to fuel business intelligence and analytics.

Dremio advocates leaving the data where it is in the S3 or ALDS object store, and using Dremio to query it directly, usually from the comfort of a BI tool like PowerBI, Tableau, or Looker, says co-founder and CPO Tomer Shiran wondering whether Dremio just made data warehouses obsolete. Read the full article from Datanami […]

Today we announced our Series D funding. From the article covered by ZDNet, “Dremio says the investment will help it expand its engineering centers of excellence around the globe, grow its customer-facing organization, contribute to open-source initiatives, and invest in education and enablement of data lake practitioners.” Read the full article here.

Read the full article here on SiliconAngle’s coverage on the recent series D funding round raised by Dremio.

The Data Lake Can Do What Data Warehouses Do and Much More.

Data lake can do what data warehouses do and much more.

The shine of the cloud data warehouse will wear off.

Analytics Insight featured Dremio as of the Top 10 Big Data company to invest in 2020.

Datanami featured Dremio as one of the important news in the Big Data arena in 2020.

Industry executives and experts share their predictions for 2021.