Home
Application and Data
Data Stores
Big Data Tools

Apache Kylin vs AresDB

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

Apache Kylin
61
236
+ 1
24
AresDB
15
47
+ 1
0
Add tool

Apache Kylin vs AresDB: What are the differences?

What is 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.

What is AresDB? A GPU-powered real-time analytics storage and query engine (by Uber). AresDB is a GPU-powered real-time analytics storage and query engine. It features low query latency, high data freshness and highly efficient in-memory and on disk storage management.

Apache Kylin and AresDB can be categorized as "Big Data" tools.

Apache Kylin and AresDB are both open source tools. Apache Kylin with 2.23K GitHub stars and 992 forks on GitHub appears to be more popular than AresDB with 1.98K GitHub stars and 126 GitHub forks.

Manage your open source components, licenses, and vulnerabilities
Learn More
Pros of Apache Kylin
Pros of AresDB
  • 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
    Be the first to leave a pro

    Sign up to add or upvote prosMake informed product decisions

    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 AresDB?

    AresDB is a GPU-powered real-time analytics storage and query engine. It features low query latency, high data freshness and highly efficient in-memory and on disk storage management.

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

    Jobs that mention Apache Kylin and AresDB as a desired skillset
    Senior Software Engineer, Big Data
    Pinterest
    San Francisco, CA, US; , CA, US
    View Job Details
    DreamTrinoAirflow+11
    Senior Software Engineer, Big Data
    Pinterest
    San Francisco, CA, US; , CA, US
    View Job Details
    DreamTrinoAirflow+11
    Senior Software Engineer, Big Data
    Pinterest
    San Francisco, CA, US; , CA, US
    View Job Details
    DreamTrinoAirflow+11
    Senior Software Engineer, Big Data
    Pinterest
    San Francisco, CA, US; , CA, US
    View Job Details
    DreamTrinoAirflow+11
    Staff Software Engineer, Ads Serving Platform
    Pinterest
    San Francisco, CA, US; , US
    View Job Details
    guidanceInfraDream+9
    Manager II, Engineering - Big Data Query Platform
    Pinterest
    San Francisco, CA, US; , US
    View Job Details
    DreamTrinoYarn+7
    Manager II, Engineering - Big Data Query Platform
    Pinterest
    San Francisco, CA, US; , US
    View Job Details
    DreamTrinoYarn+7
    Manager II, Engineering - Big Data Query Platform
    Pinterest
    San Francisco, CA, US; , US
    View Job Details
    DreamTrinoYarn+7
    What companies use Apache Kylin?
    What companies use AresDB?
    Manage your open source components, licenses, and vulnerabilities
    Learn More

    Sign up to get full access to all the companiesMake informed product decisions

    What tools integrate with Apache Kylin?
    What tools integrate with AresDB?
      No integrations found

      Sign up to get full access to all the tool integrationsMake informed product decisions

      What are some alternatives to Apache Kylin and AresDB?
      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

      Related Comparisons

      Apache Kylin vs DruidApache Impala vs Apache Kylin vs PrestoApache Kylin vs Apache Spark vs PrestoApache Flink vs Apache Kylin vs Apache SparkApache Kylin vs Apache Spark vs Druid

      Trending Comparisons

      Django vs Laravel vs Node.jsBootstrap vs Foundation vs Material-UINode.js vs Spring BootFlyway vs LiquibaseAWS CodeCommit vs Bitbucket vs GitHub

      Top Comparisons

      HipChat vs Mattermost vs SlackBitbucket vs GitHub vs GitLabBootstrap vs MaterializePostman vs Swagger UI