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Apache Kylin

61
236
+ 1
24
Vespa

11
28
+ 1
0
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Apache Kylin vs Vespa: 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; Vespa: Store, search, rank and organize big data. Vespa is an engine for low-latency computation over large data sets. It stores and indexes your data such that queries, selection and processing over the data can be performed at serving time.

Apache Kylin and Vespa belong to "Big Data Tools" category of the tech stack.

Apache Kylin and Vespa are both open source tools. Vespa with 2.85K GitHub stars and 339 forks on GitHub appears to be more popular than Apache Kylin with 2.23K GitHub stars and 992 GitHub forks.

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Pros of Apache Kylin
Pros of Vespa
  • 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
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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 Vespa?

    Vespa is an engine for low-latency computation over large data sets. It stores and indexes your data such that queries, selection and processing over the data can be performed at serving time.

    Need advice about which tool to choose?Ask the StackShare community!

    What companies use Apache Kylin?
    What companies use Vespa?
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    What tools integrate with Apache Kylin?
    What tools integrate with Vespa?

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    What are some alternatives to Apache Kylin and Vespa?
    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