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Apache Kylin vs Splunk: What are the differences?
Apache Kylin: OLAP Engine for Big Data. 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; Splunk: Search, monitor, analyze and visualize machine data. It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.
Apache Kylin and Splunk belong to "Big Data Tools" category of the tech stack.
Some of the features offered by Apache Kylin are:
- Extremely Fast OLAP Engine at Scale
- ANSI SQL Interface on Hadoop
- Interactive Query Capability
On the other hand, Splunk provides the following key features:
- Predict and prevent problems with one unified monitoring experience
- Streamline your entire security stack with Splunk as the nerve center
- Detect, investigate and diagnose problems easily with end-to-end observability
Apache Kylin is an open source tool with 2.61K GitHub stars and 1.17K GitHub forks. Here's a link to Apache Kylin's open source repository on GitHub.
Pros of Apache Kylin
- Star schema and snowflake schema support7
- Seamless BI integration5
- OLAP on Hadoop4
- Easy install3
- Sub-second latency on extreme large dataset3
- ANSI-SQL2
Pros of Splunk
- API for searching logs, running reports3
- Alert system based on custom query results3
- Dashboarding on any log contents2
- Custom log parsing as well as automatic parsing2
- Ability to style search results into reports2
- Query engine supports joining, aggregation, stats, etc2
- Splunk language supports string, date manip, math, etc2
- Rich GUI for searching live logs2
- Query any log as key-value pairs1
- Granular scheduling and time window support1
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Cons of Apache Kylin
Cons of Splunk
- Splunk query language rich so lots to learn1