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Dremio Introduces Self-Service Data Paradigm for Business Intelligence and Data ScienceDremio, 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. 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 (News - Alert), 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. In a separate announcement, the company also announced executive management appointments. (See: Dremio Executive Team Hails from Leading Big Data Companies and Apache Open Source Project Creators) 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. "In our personal lives, most people expect to get answers to questions in just a few seconds. But in the workplace, it can take months to answer a question," said Tomer Shiran, co-founder and CEO of Dremio. "We believe there is an enormous opportunity to improve the data experience for people in the workplace, by connecting popular BI and data science tools to the diverse data stores of the modern enterprise, eliminating the need for ETL and data warehouses. Dremio empowers analysts and data scientists to discover, explore, share, and accelerate any data at any time, no matter where it is or how big it is." "Dremio is a new breed of data analytics platform that doesn't require ETL, cubes, data warehouses, or even data virtualization tools to deliver self-service analytics to data analysts," said Wayne Eckerson, founder and principal consultant, Eckerson Group. "The big data platform, designed from the ground up for the cloud and Hadoop, works with any BI product or data science tool, sits between users and data sources, eliminating the need for data movement. This speeds deployments and provides agile access to data." Dremio provides a future-proof strategy for data, allowing customers to choose the best tools for analysts, and the right database technologies for applications, without compromising on the ability to leverage data to power the business. Key capabilities include:
Because Dremio can be run in the cloud, on-premises, or as a service provisioned and managed in a Hadoop cluster - customers can easily deploy Dremio to meet their needs at any scale. Popular use cases include BI on Modern Data, like Elasticsearch, S3, and MongoDB; Data Acceleration, making even the largest datasets interactive in speed; Self-Service Data, making consumers of data more independent and less reliant on IT; and Data Lineage, tracking the full lineage of data through all analytical jobs across tools and users. "With over 1 million customers and 270,000 servers across our 20 data centers, telemetry data about our infrastructure is a critical asset we use to remain competitive while providing a great experience to our customers," said Vincent Terrasi, head of data, analytics, and CRM for OVH. "Dremio helps our data managers and analysts work with our data, independently and effectively. We are proud to be a part of this important open source community." "At Quantium, our ability to generate and operationalize analytics is key to delivering value to our clients," said Alex Shaw, head of big data platforms, Quantium. "Embedding intelligence at scale is a critical differentiator for our services, as we combine our industry expertise and market leading tools with our customer's data assets and our own data ecosystem. Working with Dremio, we were quickly able to achieve a 5x improvement while testing our key analysis workloads." Dremio Partner Ecosystem By working closely with partners, Dremio looks to change the current approach to data analytics by expanding the big data, business intelligence, and analytics ecosystem for the enterprise. "The goal of Microsoft Power BI is to democratize data analysis and make it available to all users in an enterprise," said Miguel Martinez, senior product marketing manager, Microsoft Power BI, Microsoft Corp. "Dremio's ability to accelerate data from any source makes users of Power BI more productive. We are proud to be working with Dremio to make this product available to our customers." "Qlik is a pioneer in self-service BI and visual analytics," said Hjalmar Gislason, VP of data at Qlik. "Dremio shares our vision of making analysts and data scientists increasingly independent and productive. I have been waiting for a solution like Dremio to emerge in the rapidly evolving landscape of modern data sources, and am excited about the benefits it will bring to our more than 40,000 customers." "Python is as an essential language for data science," said Wes McKinney, creator of Pandas and software architect at Two Sigma Investments. "Dremio is solving an important piece of the data analytics stack, by providing Apache Arrow-based query execution across the different systems that store data. Fast and easy access to data improves computational efficiency and makes data scientists more productive." "With more than 100,000 curated datasets, Enigma is the leading provider of analysis-ready public data," said Hicham Oudghiri, CEO of Enigma Technologies. "Customers rely on our open source intelligence to enrich their enterprise data to drive smarter decision making. Dremio's approach for self-service data analytics can drive immense productivity in all types of organizations. We are excited to partner with this innovative open source company." Availability Dremio is distributed as a Community Edition, which is open source and free for anyone, as well as an Enterprise Edition, which is available as part of an annual subscription with support, a commercial license, and enterprise features. Dremio is immediately available for download at www.dremio.com/download. Supporting Resources
Tweet this: .@Dremio launches platform for Self-Service Data, accelerating data from any source for any analytical tool. http://bit.ly/2tZFi89 About Dremio Dremio reimagines analytics for modern data. Created by veterans of open source and big data technologies, Dremio is a fundamentally new approach that dramatically simplifies and accelerates time to insight. Dremio empowers business users to curate precisely the data they need, from any data source, then accelerate analytical processing for BI tools, machine learning, data science, and SQL clients. Dremio starts to deliver value in minutes, and learns from your data and queries, making your data engineers, analysts, and data scientists more productive. For more information, visit www.dremio.com. Founded in 2015, Dremio is headquartered in Mountain View, CA (News - Alert). Investors include Lightspeed Venture Partners and Redpoint. Connect with Dremio on GitHub, LinkedIn, Twitter and Facebook.
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