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Dremio—the data lake engine, operationalizes your data lake storage and speeds your analytics processes with a high-performance and high-efficiency query engine while also democratizing data access for data scientists and analysts.
736
companies
Technoloy Usage Stadistics and Market Share
You can customize this data to your needs by filtering for geography, industry, company size, revenue, technology usage, job postions and more. You can download the data in Excel or CSV format.
You can get alerts for this data. You can get started by selecting the technology you are interested in and then you will receive alerts in your inbox when there are new companies using that technology.
You can export his data to an Excel file, which can be imported into your CRM. You can also export the data to an API.
There are 62 alternatives to Dremio
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Dremio is used in 32 countries
Technology
is any of
Dremio
Company | Country | Industry | Employees | Revenue | Technologies |
---|---|---|---|---|---|
| Dremio | ||||
United States | Motor Vehicle Manufacturing | 167K | $161B | Dremio | |
| Dremio | ||||
96 |
| Dremio | |||
Germany | Utilities | 20K | $41B | Dremio | |
United Kingdom | Banking | 85K | $22B | Dremio | |
United States | Financial Services | 204K |
| Dremio | |
France | It Services And It Consulting | 48K |
| Dremio | |
United States | Financial Services | 212K | $74B | Dremio | |
United States | Financial Services | 76K | $135M | Dremio |
We have data on 736 companies that use Dremio. Our Dremio customers list is available for download and comes enriched with vital company specifics, including industry classification, organizational size, geographical location, funding rounds, and revenue figures, among others.
Frequently asked questions
Our data is sourced from job postings collected from millions of companies. We monitor these postings on company websites, job boards, and other recruitment platforms. Analyzing job postings provides a reliable method to understand the technologies companies are employing, including their use of internal tools.
We refresh our data daily to ensure you are accessing the most current information available. This frequent updating process guarantees that our insights and intelligence reflect the latest developments and trends within the industry.
Dremio is a powerful technology in the realm of Big Data Tools, offering advanced data virtualization and analytics solutions to organizations dealing with vast amounts of data. It serves as a data-as-a-service platform that enables users to query and join data from various sources such as data lakes, databases, and cloud storage without the need for complex data movement or duplication. Dremio's innovative approach empowers businesses to accelerate their data analytics processes and gain valuable insights in real-time, thus enhancing overall efficiency and decision-making capabilities.
Dremio falls under the category of Big Data Tools, catering to the ever-growing demand for efficient and scalable data processing solutions in today's data-driven world. As a vital component of the Big Data ecosystem, Dremio plays a crucial role in enabling businesses to harness the power of their data assets by providing a unified and streamlined access layer for data exploration and analysis. By simplifying the data access and integration process, Dremio empowers organizations to unlock the full potential of their data resources, leading to improved business outcomes and strategic advantages in a competitive market landscape.
Founded in 2015 by Tomer Shiran and Jacques Nadeau, Dremio emerged with the vision of revolutionizing the way organizations interact with and derive value from their data. The founders recognized the need for a more efficient and agile approach to data analytics, leading to the development of Dremio's innovative data virtualization platform. Since its inception, Dremio has rapidly gained traction in the market, attracting a growing user base of enterprises seeking a modern, self-service data architecture that can keep pace with the evolving data requirements of today's digital economy.
In terms of market share, Dremio has been experiencing steady growth within the Big Data Tools category, as more organizations recognize the value of its data virtualization and analytics capabilities. With the increasing adoption of cloud technologies and the escalating demand for real-time data insights, Dremio is poised to expand its market presence and solidify its position as a key player in the Big Data landscape. The forecast indicates a positive trajectory for Dremio, driven by its innovative offerings and the ongoing market demand for efficient data processing solutions.
You can access an updated list of companies using Dremio by visiting TheirStack.com. Our platform provides a comprehensive database of companies utilizing various technologies and internal tools.
As of now, we have data on 736 companies that use Dremio.
Dremio is used by a diverse range of organizations across various industries, including "Motor Vehicle Manufacturing", "Utilities", "Banking", "Financial Services", "It Services And It Consulting", "Financial Services", "Financial Services". For a comprehensive list of all industries utilizing Dremio, please visit TheirStack.com.
Some of the companies that use Dremio include ritepros, General Motors, Groupe Talents Handicap, Ikigai Labs, RWE, Standard Chartered Bank, Wells Fargo, Sopra Steria, WELLS FARGO BANK, JPMorgan Chase Bank, N.A. and many more. You can find a complete list of 736 companies that use Dremio on TheirStack.com.
Based on our data, Dremio is most popular in United States (284 companies), United Kingdom (54 companies), France (32 companies), India (22 companies), Germany (19 companies), Brazil (15 companies), Spain (13 companies), Canada (12 companies), Netherlands (7 companies), Italy (6 companies). However, it is used by companies all over the world.
You can find companies using Dremio by searching for it on TheirStack.com, We track job postings from millions of companies and use them to discover what technologies and internal tools they are using.