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Hive facilitates reading, writing, and managing large datasets residing in distributed storage using SQL. Structure can be projected onto data already in storage.
2,159
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 9 alternatives to Apache Hive
Apache Hive is used in 49 countries
Technology
is any of
Apache Hive
Company | Country | Industry | Employees | Revenue | Technologies |
---|---|---|---|---|---|
| Apache Hive | ||||
United States | Software Development | 3.2K | $905M | Apache Hive | |
United States | It Services And It Consulting | 316K | $61B | Apache Hive | |
Canada | Banking | 92K | $32B | Apache Hive | |
| Apache Hive | ||||
United States | Financial Services | 200K | $75B | Apache Hive | |
Singapore | Professional Services | 580 |
| Apache Hive | |
United States | Financial Services | 5.2K | $7.2B | Apache Hive | |
United States | It Services And It Consulting | 5.8K | $520M | Apache Hive | |
United States | Retail | 2.3M | $611B | Apache Hive |
We have data on 2,159 companies that use Apache Hive. Our Apache Hive 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.
Apache Hive is an open-source data warehouse infrastructure built on top of Apache Hadoop for providing data summarization, query, and analysis. It facilitates querying and managing large datasets residing in distributed storage. Designed for scalability, Hive enables users to work with petabytes of data using SQL-like queries through its HiveQL language, which translates queries into Hadoop MapReduce jobs. Apache Hive aims to make querying of Big Data accessible to those familiar with SQL.
Apache Hive falls under the category of Big Data Tools, catering to the growing need for processing and analyzing massive volumes of data. It is particularly useful for organizations dealing with structured and semi-structured data sets that require relational database-style operations. By utilizing a familiar SQL syntax, users can leverage Apache Hive to extract insights from large datasets without needing to learn complex programming languages.
Apache Hive was founded in 2008 by Facebook as an open-source project to address the need for querying and analyzing large datasets generated by their social media platform. The motivation behind Hive's development was to provide a user-friendly interface for data processing on Hadoop, enabling data analysts and engineers to perform analytics at scale. Since then, the project has gained significant traction in the Big Data ecosystem.
As of the latest data available, Apache Hive holds a notable market share within the Big Data Tools category. With the increasing adoption of Big Data technologies across industries, it is expected that Apache Hive's market share will continue to grow in the future. The scalability, flexibility, and SQL compatibility of Hive position it as a valuable tool for organizations looking to harness the power of Big Data for decision-making and analytics.
You can access an updated list of companies using Apache Hive 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 2,159 companies that use Apache Hive.
Apache Hive is used by a diverse range of organizations across various industries, including "Software Development", "It Services And It Consulting", "Banking", "Financial Services", "Professional Services", "Financial Services", "It Services And It Consulting", "Retail". For a comprehensive list of all industries utilizing Apache Hive, please visit TheirStack.com.
Some of the companies that use Apache Hive include ritepros, Cloudera, IBM, RBC, Contact Government Services, LLC, Citi, ENSIGN INFOSECURITY (CYBERSECURITY) PTE. LTD., Coinbase, Infogain, Walmart and many more. You can find a complete list of 2,159 companies that use Apache Hive on TheirStack.com.
Based on our data, Apache Hive is most popular in United States (771 companies), United Kingdom (104 companies), India (87 companies), France (51 companies), Spain (47 companies), Canada (40 companies), Germany (35 companies), Brazil (28 companies), Australia (25 companies), Singapore (22 companies). However, it is used by companies all over the world.
You can find companies using Apache Hive 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.