Apache Kylin

Apache Kylin has become a valuable tool for businesses seeking to streamline data analytics and improve team productivity. Users have found that Apache Kylin makes it easier to query data from Hadoop in real-time, allowing for quicker insights and decision-making. The software's ability to create data links and structure big queries using SQL has been highly advantageous for users, enabling them to effectively analyze and gain insights from large datasets. Additionally, Apache Kylin's functionality as a graph database has allowed users to visually display hierarchical data, enhancing their understanding of complex relationships within the data.

With its multi-dimensional cube and precalculation technology on Hadoop and Spark, Apache Kylin solves the business problem of achieving near constant query speed regardless of the increasing volume of data. This capability has made it a top choice for organizations seeking high-performance open-source OLAP engines for big data analytics. Users have noted that Apache Kylin significantly increases the productivity of analytics operations in firms of any size, with a remarkable query latency of less than a second even when dealing with trillions of records.

The software offers versatile use cases for businesses across various industries. Users leverage Apache Kylin to perform tasks such as analyzing big data, monitoring behavior on Hadoop Spark, conducting payment analysis, and generating data for recommendations. Its support for defining multi-dimensional models and precalculating cubes for analytics provides users with the flexibility they need to derive meaningful insights from their data. Additionally, users appreciate the security and support provided by Apache Kylin, giving them peace of mind in their data analysis endeavors.