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Companies & Organizations

  • eBay (NASDAQ: EBAY)
    • Apache Kylin is used at eBay for Big Data Analytics on Hadoop. This powers various data products including Behavior Analytics, Traffic Reporting, Account Manager Application and Streaming Dashboard.
  • JD.com, Inc. (NASDAQ: JD)
    • Apache Kylin as Data Analytics Engine to analysis JOS API access behavior and report in JCloud.
  • MiningLAMP
    • Apache Kylin is part of MiningLAMP’s Big Data Analytics product offering OLAP capability for customers from Banking, Finance and others industuies.
  • Meituan.com (CrunchBase:Meituan.com)
    • Apache Kylin is powering various OLAP scenarios at Meituan’s Data Platform, such as traffic analysis and payment channel analysis. It’s quite stable and super fast. We are very willing to try Kylin on other product as well.
  • VIP.com (NYSE: VIPS)
    • Apache Kylin is used at VIP.com’s big data self-service analysis platform. Apache Kylin gives us a new option to make user experience more ad-hoc friendly and give us the opportunity to introduce Cube back to Big Data.
  • DreamSoft
    • DreamSoft is using Apache Kylin as Big Data Analytics Engine for their customers coming from Retail, Manufacturing, Finance and others.
  • Exponential
    • Using Kylin as a component in it’s data platform LAMBDA to power inventory, campaign, behavior and demand analysis for advertising. It has been great at handling the size and speed constraints of old gen systems. With the first version already in production, we are looking forward to pushing more data into kylin and achieve near real time updates.
  • Baidu Map (NASDAQ: BIDU)
    • Apache Kylin is used for analysis Baidu Map’s huge amounts of data about users, channels and etc, it performs quite fast with its own pre-calculation and index technologies along with the cubes.
  • NetEase (NASDAQ: NTES)
    • Apache Kylin has been introduced as an OLAP engine for the data platform at NetEase, powering data analysis for various products & business with great performance.
  • glispa
    • glispa is using Apache Kylin as an OLAP component within its data management platform. It enabled us to meet latency requirements for real time analytics over big amounts of data. That helps our data scientists and analysts make sense of the DMP’s incomprehensible data in a quick ad-hoc manner.
  • iQIYI
    • Apache Kylin is used as part of iQIYI’s big data analytics platform. It powers various OLAP scenarios with great performance and simplifies the procedure of data processing.
  • Meizu
    • Meizu Technology has successfully adopted Apache Kylin in its statistical analysis platform and self-service analysis platform, to overcome the performance bottleneck of traditional RDBMS on huge amount of data.
  • Sohu (NASDAQ: SOHU)
    • In Sohu, Apache Kylin is running as the analytics engine on Hadoop, serving multiple business domains including advertisement analysis, traffic forecast, etc.
  • Gome
    • Apache Kylin provides a perfect solution for Gome’s online Operation Advisor. It improved not only the analysis performance, but also the productivity. We adopted Kylin in both T+1 batch procesing and real time analysis. It is the best OLAP solution in our scenario.
  • LeEco
    • Apache Kylin has been used as a part of OLAP engine and data query engine for big data platform at LeEco, which is powering various big data business, such as stream media data and cloud data.
  • Toutiao
    • As the most popular mobile news app in China, Toutiao has over 78 million daily active users (collected on Feb 2017), we need OLAP capability on Trillion level data, and only Kylin can fulfill. Take an example, the Cube for the videos analysis has more than 2.4 trillion source records, taking 4+ TB storage (source file more than 100 TB); Most of the queries can be finished in less than 1 second (same query need couple hours in Hive). From another perspective, Kylin reduces the pressure of our Hadoop cluster. This is what called “build once, use many”.
  • Qunar (NASDAQ:QUNR)
    • Apache Kylin is used at Qunar for Data Analysis Engine on Hadoop, which offers powerful OLAP capability for flight business with good performance.
  • Strikingly
    • Strikingly adopted Kylin + AWS EMR solution. By adopting Kylin, the query performance was improved from 5 ~ 10 seconds to less than 1 second, and it can serve much more concurrent requests now. When workload and data increases, we just need add EMR nodes on demand then get capacity expanded. This architecture ensures we don’t need worry about the data growth in next couple years.
  • Yahoo! Japan
    • Yahoo! JAPAN uses Apache Kylin to generate tailored report for Yahoo! Shopping. Apache Kylin contributes to minimize the latency for viewing the report. Consequently, the platform team has been released from ad hoc tasks to improve performance and it has become possible to focus on adding functions for users.