Apache Kylin vs Druid vs Mara

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Apache Kylin

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Pros of Apache Kylin
Pros of Druid
Pros of Mara
  • 7
    Star schema and snowflake schema support
  • 5
    Seamless BI integration
  • 4
    OLAP on Hadoop
  • 3
    Sub-second latency on extreme large dataset
  • 2
    Easy install
  • 2
  • 13
    Real Time Aggregations
  • 4
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    Batch and Real-Time Ingestion
  • 2
    Combining stream and historical analytics
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  • 1
  • 1
    Great developing experience
  • 1
    ETL Tool
  • 1
    UI focused on ETL development

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Cons of Apache Kylin
Cons of Druid
Cons of Mara
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    • 2
      Limited sql support
    • 1
    • 1
      Joins are not supported well
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      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 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.

      What is Mara?

      A lightweight ETL framework with a focus on transparency and complexity reduction.

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      What companies use Apache Kylin?
      What companies use Druid?
      What companies use Mara?
        No companies found

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        What tools integrate with Apache Kylin?
        What tools integrate with Druid?
        What tools integrate with Mara?
          No integrations found

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          What are some alternatives to Apache Kylin, Druid, and Mara?
          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 is an open source distributed SQL query engine for running interactive analytic queries against data sources of all sizes ranging from gigabytes to petabytes.
          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.
          Its Virtual Data Warehouse delivers performance, security and agility to exceed the demands of modern-day operational analytics.
          It allows analysis of data that is updated in real time. It offers instant results in most cases: the data is processed faster than it takes to create a query.
          See all alternatives
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