Companies that use Apache Oozie
It is a server-based workflow scheduling system to manage Hadoop jobs. Workflows in it are defined as a collection of control flow and action nodes in a directed acyclic graph. Control flow nodes define the beginning and the end of a workflow as well as a mechanism to control the workflow execution path.
420
companies
List of companies using Apache Oozie
curl --request POST \
--url "https://api.theirstack.com/v1/companies/search" \
--header "Accept: application/json" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer <api_key>" \
-d "{
\"company_technology_slug_or\": [
\"apache-oozie\"
]
}"Technology
is any of
Apache Oozie

Employees8kRevenue$3.1BIT Services and IT Consulting
Apache OozieHigh confidence
Employees11kRevenue$934MBusiness Consulting and Services
Apache OozieMedium confidence
Employees412kRevenue$45BProfessional Services
Apache OozieMedium confidence
Employees73kRevenue$6BSoftware Development
Apache OozieMedium confidence
Employees18kIT Services and IT Consulting
Apache OozieMedium confidence
Employees68kRevenue$4.8BIT Services and IT Consulting
Apache OozieMedium confidence
Employees5.9kRevenue$1BIT Services and IT Consulting
Apache OozieMedium confidence
Employees346Revenue$2.4MSoftware Development
Apache OozieMedium confidence
Employees45kRevenue$820MIT Services and IT Consulting
Apache OozieMedium confidence
Employees2.3kRevenue$52MInsurance
Apache OozieMedium confidence
We have data on 420 companies and users that use Apache Oozie. Our Apache Oozie users and 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.
Technology Usage Statistics 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 Oozie is an open-source workflow scheduler system used to manage Apache Hadoop jobs. It allows users to define a series of tasks in a specific order to coordinate and schedule data processing jobs on a Hadoop cluster. Oozie supports multiple types of workflows such as MapReduce, Pig, Hive, and Sqoop, making it a versatile tool for orchestrating complex data processing pipelines.
Apache Oozie falls under the category of Workflow Manager technology. It plays a crucial role in enabling organizations to automate and streamline their data workflows within big data environments. By providing a centralized platform for defining, executing, and monitoring workflows, Oozie enhances the efficiency of data processing tasks and ensures better coordination among different components of the Hadoop ecosystem.
Founded in 2007 by Yahoo Inc., Apache Oozie was initially developed to address the need for a reliable workflow scheduler for Apache Hadoop jobs. Yahoo's motivation behind creating Oozie was to improve the operational efficiency of their data processing tasks by automating job orchestration and providing a more organized workflow management solution. Over the years, Apache Oozie has gained significant traction in the big data community and has become a widely adopted tool for managing Hadoop workflows.
In terms of current market share, Apache Oozie remains a popular choice among organizations leveraging Hadoop for their data processing needs. Its robust features and support for various workflow types continue to attract users looking to streamline their data pipelines effectively. While there may be emerging alternatives in the workflow management space, Apache Oozie is expected to maintain its market presence and possibly grow further as the demand for efficient data processing solutions continues to rise in the future.