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The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.
22,961
companies
Technology
is any of
Hadoop
Company | Country | Industry | Employees | Revenue | Technologies |
---|---|---|---|---|---|
United States | It Services And It Consulting | 26K | $31B | ![]() Hadoop | |
United States | Software Development | 8.9K | $600M | ![]() Hadoop | |
Singapore | Software Development | 9.7K |
| ![]() Hadoop | |
United States | Entertainment Providers | 69K | $4.6B | ![]() Hadoop | |
United States | Computers And Electronics Manufacturing | 293K |
| ![]() Hadoop | |
United States | Retail | 2.3M | $611B | ![]() Hadoop | |
Canada | Banking | 95K | $32B | ![]() Hadoop | |
United States | Software Development | 233K | $198B | ![]() Hadoop | |
It Services And It Consulting | 11 |
| ![]() Hadoop | ||
United States | It Services And It Consulting | 38 | $6.6M | ![]() Hadoop | |
United States | Telecommunications | 92 | $28M | ![]() Hadoop | |
United States | It Services And It Consulting | 202K | $50B | ![]() Hadoop |
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We have data on 22,961 companies that use Hadoop. Our Hadoop 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.
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Technoloy Usage Stadistics and Market Share
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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.
Apache Hadoop is a widely-used technology in the realm of Databases, known for its prowess in handling large volumes of data and complex processing tasks. It is an open-source software framework that allows for the distributed processing of big data sets across clusters of computers using simple programming models. Hadoop has become instrumental in the area of big data analytics, providing organizations with the capabilities to store and process massive amounts of data efficiently.
Hadoop falls within the category of distributed computing frameworks, specifically tailored for big data applications. It enables distributed storage and processing of large data sets across clusters of computers, making it a go-to solution for organizations grappling with huge data volumes. By utilizing a distributed file system (Hadoop Distributed File System) and a processing engine (MapReduce), Hadoop facilitates scalability and fault tolerance, making it well-suited for handling diverse data processing requirements.
Founded in 2006 by Doug Cutting and Mike Cafarella, Hadoop originated from the necessity to efficiently sort and index vast amounts of data on the web. Named after Cutting's son's toy elephant, the technology was initially developed to support the Apache Nutch search engine project. Since then, Hadoop has grown into a robust ecosystem of tools and libraries, with contributions from a large community of developers and organizations.
In terms of current market share, Hadoop faces stiff competition from other big data technologies like Spark and various cloud-based solutions. While it still enjoys a significant user base, its market share has seen a slight decline in recent years due to evolving data processing trends. However, with ongoing developments and enhancements within the Hadoop ecosystem, it is expected to maintain a relevant position in the big data landscape, albeit potentially with a more specialized focus.
You can access an updated list of companies using Hadoop 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 22,961 companies that use Hadoop.
Hadoop is used by a diverse range of organizations across various industries, including "It Services And It Consulting", "Software Development", "Software Development", "Entertainment Providers", "Computers And Electronics Manufacturing", "Retail", "Banking", "Software Development", "It Services And It Consulting", "It Services And It Consulting". For a comprehensive list of all industries utilizing Hadoop, please visit TheirStack.com.
Some of the companies that use Hadoop include Visa, Databricks, Agoda, TikTok, Apple, Walmart, RBC, Microsoft, Alexander Thamm GmbH, Onyx Point, Inc. and many more. You can find a complete list of 22,961 companies that use Hadoop on TheirStack.com.
Based on our data, Hadoop is most popular in United States (6,766 companies), United Kingdom (1,024 companies), India (728 companies), France (515 companies), Canada (416 companies), Germany (383 companies), Spain (374 companies), Brazil (279 companies), Australia (195 companies), Singapore (176 companies). However, it is used by companies all over the world.
You can find companies using Hadoop 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.
Hadoop is used in 106 countries
There are 92 alternatives to Hadoop
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