Companies that use Apache Kylin
Apache Kylin™ is an open source Distributed Analytics Engine designed to provide SQL interface and multi-dimensional analysis (OLAP) on Hadoop/Spark supporting extremely large datasets, originally contributed from eBay Inc.
39
companies
List of companies using Apache Kylin
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Apache Kylin

Employees33Technology, Information and Internet
Apache KylinMedium confidence
Employees4.6kRevenue$1.2BIT Services and IT Consulting
Apache KylinMedium confidenceEmployees530Revenue$83MIT Services and IT Consulting
Apache KylinMedium confidence
Employees15IT Services and IT Consulting
Apache KylinMedium confidence
Employees17Advertising Services
Apache KylinMedium confidence
Employees98kRevenue$55BFinancial Services
Apache KylinLow confidenceEmployees10kRevenue$1BMotor Vehicle Manufacturing
Apache KylinLow confidence
Employees2.4kFinancial Services
Apache KylinLow confidenceEmployees2.5kRevenue$120MIT Services and IT Consulting
Apache KylinLow confidence
Employees4.5kIT Services and IT Consulting
Apache KylinLow confidence
We have data on 39 companies and users that use Apache Kylin. Our Apache Kylin 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 Kylin is a cutting-edge open-source distributed analytics engine designed to provide a fast and scalable solution for interactive analytics on big data. It is specifically optimized to support extremely large datasets in the realm of petabytes and beyond, making it an ideal tool for organizations dealing with massive amounts of data. By leveraging the power of Apache Kylin, businesses can accelerate query performance, reduce latency, and enable real-time analysis of their data, ultimately empowering them to make data-driven decisions effectively and efficiently.
Apache Kylin falls under the category of Big Data Tools, focusing on enhancing the analytical capabilities of organizations dealing with vast volumes of complex data. This technology allows users to perform multidimensional analysis, OLAP (Online Analytical Processing) modeling, and cube building on big data platforms, enabling them to derive valuable insights and perform advanced analytics to support business decision-making processes. With its ability to efficiently handle large datasets and complex queries, Apache Kylin plays a crucial role in the big data analytics landscape.
Established in 2013 by the team at eBay Inc., Apache Kylin was originally created to address the challenges of querying massive datasets within the e-commerce industry. The motivation behind developing Apache Kylin stemmed from the need to accelerate the querying process for online analytical processing tasks while handling the extensive data volumes generated by eBay's business operations. Over the years, Apache Kylin has evolved into a widely adopted solution in the big data analytics domain, catering to the analytical needs of diverse industries worldwide.
Currently, Apache Kylin holds a significant market share within the Big Data Tools category, with a growing presence in enterprises looking to harness the power of big data analytics. As the demand for scalable and efficient analytics solutions continues to rise, Apache Kylin is forecasted to experience further growth in the future, driven by its performance capabilities and advanced features that cater to the evolving data analytics requirements of modern businesses.