What is 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.
Apache Kylin is a tool in the Big Data Tools category of a tech stack.
Apache Kylin is an open source tool with 3.6K GitHub stars and 1.5K GitHub forks. Here’s a link to Apache Kylin's open source repository on GitHub
Who uses Apache Kylin?
Companies
Developers
59 developers on StackShare have stated that they use Apache Kylin.
Apache Kylin Integrations
Apache Spark, Hadoop, Tableau, Superset, and PowerBI are some of the popular tools that integrate with Apache Kylin. Here's a list of all 7 tools that integrate with Apache Kylin.
Pros of Apache Kylin
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Apache Kylin's Features
- Extremely Fast OLAP Engine at Scale
- ANSI SQL Interface on Hadoop
- Interactive Query Capability
- MOLAP Cube
- Seamless Integration with BI Tools
Apache Kylin Alternatives & Comparisons
What are some alternatives to Apache Kylin?
Apache Spark
Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.
Presto
Distributed SQL Query Engine for Big Data
Druid
Druid is a distributed, column-oriented, real-time analytics data store that is commonly used to power exploratory dashboards in multi-tenant environments. Druid excels as a data warehousing solution for fast aggregate queries on petabyte sized data sets. Druid supports a variety of flexible filters, exact calculations, approximate algorithms, and other useful calculations.
Apache Impala
Impala is a modern, open source, MPP SQL query engine for Apache Hadoop. Impala is shipped by Cloudera, MapR, and Amazon. With Impala, you can query data, whether stored in HDFS or Apache HBase – including SELECT, JOIN, and aggregate functions – in real time.
AtScale
Its Virtual Data Warehouse delivers performance, security and agility to exceed the demands of modern-day operational analytics.
