Audience

Companies, enterprises and developers in search of an analytical data warehouse solution for Big Data

About Apache Kylin

Apache Kylin™ is an open source, distributed Analytical Data Warehouse for Big Data; it was designed to provide OLAP (Online Analytical Processing) capability in the big data era. By renovating the multi-dimensional cube and precalculation technology on Hadoop and Spark, Kylin is able to achieve near constant query speed regardless of the ever-growing data volume. Reducing query latency from minutes to sub-second, Kylin brings online analytics back to big data. Kylin can analyze 10+ billions of rows in less than a second. No more waiting on reports for critical decisions. Kylin connects data on Hadoop to BI tools like Tableau, PowerBI/Excel, MSTR, QlikSense, Hue and SuperSet, making the BI on Hadoop faster than ever. As an Analytical Data Warehouse, Kylin offers ANSI SQL on Hadoop/Spark and supports most ANSI SQL query functions. Kylin can support thousands of interactive queries at the same time, thanks to the low resource consumption of each query.

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Integrations

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Company Information

Apache Software Foundation
Founded: 1999
United States
kylin.apache.org

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Product Details

Platforms Supported
Cloud
Training
Documentation
In Person
Support
Online

Apache Kylin Frequently Asked Questions

Q: What kinds of users and organization types does Apache Kylin work with?
Q: What languages does Apache Kylin support in their product?
Q: What kind of support options does Apache Kylin offer?
Q: What other applications or services does Apache Kylin integrate with?
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Apache Kylin Product Features

Data Warehouse

In-Memory Processing
Match & Merge
ETL - Extract / Transfer / Load
Data Migration
Ad hoc Query
Data Quality Control
Analytics
Data Integration