Companies that use Apache Beam
It implements batch and streaming data processing jobs that run on any execution engine. It executes pipelines on multiple execution environments.
3,598
companies
List of companies using Apache Beam
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\"company_technology_slug_or\": [
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Apache Beam
Employees330kSoftware DevelopmentApache BeamHigh confidence
Employees24kRevenue$6.2BComputer and Network SecurityApache BeamHigh confidence
Employees971Revenue$110MAdvertising ServicesApache BeamHigh confidence
Employees14Revenue$6MAdvertising ServicesApache BeamHigh confidence
Employees1.5kRevenue$175MHospitals and Health CareApache BeamHigh confidence
Employees37kRevenue$1.5BIT Services and IT ConsultingApache BeamHigh confidence
Employees334Computer and Network SecurityApache BeamHigh confidence
Employees22kRevenue$7.5BBankingApache BeamHigh confidence
Employees430Revenue$6.1MSoftware DevelopmentApache BeamHigh confidence
Employees7.9kRevenue$1.1BSoftware DevelopmentApache BeamHigh confidence
We have data on 3,598 companies and users that use Apache Beam. Our Apache Beam 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 Beam is a powerful open-source unified programming model that allows developers to define and execute data processing pipelines, regardless of the runtime engine. With Apache Beam, users can write batch and streaming data processing jobs using a single programming model, making it easier to switch between different processing engines. This technology provides a portable way to express data processing pipelines, enabling seamless execution on various distributed processing backends such as Apache Flink, Apache Spark, and Google Cloud Dataflow.
Apache Beam falls under the category of Workflow Manager, offering a unique approach to data processing by providing a unified programming model for both batch and streaming data. It abstracts the complexities of distributed systems, allowing developers to focus on the logic of their data processing tasks rather than the intricacies of the underlying execution engine. Apache Beam promotes code reusability and portability, empowering organizations to build scalable and maintainable data pipelines efficiently.
Founded by Google in 2016, Apache Beam originated from the Google Cloud Dataflow SDK as an open-source project under the Apache Software Foundation. The motivation behind Apache Beam was to address the challenges of developing and running data processing pipelines across different processing frameworks and environments. By providing a unified programming model, Apache Beam aimed to simplify the development of data processing applications and foster collaboration within the data engineering community.
Currently, Apache Beam holds a significant market share within the Workflow Manager category due to its versatility and compatibility with various processing engines. As businesses increasingly adopt data-driven strategies, the demand for efficient data processing technologies like Apache Beam is expected to grow. With the continuous development and community support, Apache Beam is positioned to expand its market presence and remain a leading choice for organizations seeking scalable and flexible data processing solutions.