Apache KylinApache Kylin
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 Databases category of a tech stack.
Key Features
Extremely Fast OLAP Engine at ScaleANSI SQL Interface on HadoopInteractive Query CapabilityMOLAP CubeSeamless Integration with BI Tools
Apache Kylin Pros & Cons
Pros of Apache Kylin
- ✓Star schema and snowflake schema support
- ✓Seamless BI integration
- ✓OLAP on Hadoop
- ✓Easy install
- ✓Sub-second latency on extreme large dataset
- ✓ANSI-SQL
Cons of Apache Kylin
No cons listed yet.
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.
Splunk
It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.
Apache Flink
Apache Flink is an open source system for fast and versatile data analytics in clusters. Flink supports batch and streaming analytics, in one system. Analytical programs can be written in concise and elegant APIs in Java and Scala.
