Dremio Introduces Self-Service Data Paradigm for Business Intelligence and Data Science

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by Angela Guess

A new press release reports, “Dremio, a self-service data company, announced today its entrance into the data analytics market with the immediate availability of the Dremio Self-Service Data Platform, a fundamentally new approach to data analytics. Working with existing data sources and business intelligence tools, Dremio’s solution eliminates the need for traditional ETL, data warehouses, cubes, and aggregation tables, as well as the infrastructure, copies of data, and effort these systems entail. Dremio combines consumer-grade ease-of-use with enterprise-grade security and governance, and includes ground-breaking execution and data acceleration technologies that dramatically accelerate analytical processing. Dremio was released as a new open source project under the Apache license and is available for download today.”

The release goes on, “Founded in 2015 by a team of big data experts, Dremio has raised more than $15 million. The company’s software is being used by leading organizations in the US, Europe, Asia, and Australia, such as Daimler, a leading producer of premium cars and the world’s largest manufacturer of commercial vehicles, and OVH, Europe’s leading cloud provider. Additionally, technology providers including Microsoft, Tableau, Qlik, as well as open source communities like Python Pandas and R are collaborating with Dremio to deliver end-to-end self-service for data analytics… Despite promises of software designed to unlock the value of data, analysts and data scientists continue to struggle to harness data for business intelligence and data science. Dremio accelerates time to insight by empowering analysts and data scientists to be independent and self-directed in their use of data, from any source and at any scale, while preserving governance and security.”

Read more at Business Wire.

Photo credit: Dremio

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