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Apache Kylin

61
236
+ 1
24
Splunk

596
992
+ 1
20
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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.

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Pros of Apache Kylin
Pros of Splunk
  • 7
    Star schema and snowflake schema support
  • 5
    Seamless BI integration
  • 4
    OLAP on Hadoop
  • 3
    Easy install
  • 3
    Sub-second latency on extreme large dataset
  • 2
    ANSI-SQL
  • 3
    API for searching logs, running reports
  • 3
    Alert system based on custom query results
  • 2
    Dashboarding on any log contents
  • 2
    Custom log parsing as well as automatic parsing
  • 2
    Ability to style search results into reports
  • 2
    Query engine supports joining, aggregation, stats, etc
  • 2
    Splunk language supports string, date manip, math, etc
  • 2
    Rich GUI for searching live logs
  • 1
    Query any log as key-value pairs
  • 1
    Granular scheduling and time window support

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Cons of Apache Kylin
Cons of Splunk
    Be the first to leave a con
    • 1
      Splunk query language rich so lots to learn

    Sign up to add or upvote consMake informed product decisions

    - No public GitHub repository available -

    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.

    What is Splunk?

    It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.

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    What tools integrate with Apache Kylin?
    What tools integrate with Splunk?

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    What are some alternatives to Apache Kylin and Splunk?
    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.
    See all alternatives