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Amundsen vs EventQL

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Amundsen
17
43
+ 1
0
EventQL
3
9
+ 1
3
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EventQL vs Amundsen: What are the differences?

What is EventQL? The database for large-scale event analytics. EventQL is a distributed, column-oriented database built for large-scale event collection and analytics. It runs super-fast SQL and MapReduce queries.

What is Amundsen? A metadata driven application for improving the productivity of data analysts, data scientists and engineers. It is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting with data.

EventQL and Amundsen can be primarily classified as "Big Data" tools.

EventQL and Amundsen are both open source tools. It seems that EventQL with 1.07K GitHub stars and 95 forks on GitHub has more adoption than Amundsen with 889 GitHub stars and 163 GitHub forks.

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    What is Amundsen?

    It is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting with data.

    What is EventQL?

    EventQL is a distributed, column-oriented database built for large-scale event collection and analytics. It runs super-fast SQL and MapReduce queries.

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

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    What companies use Amundsen?
    What companies use EventQL?
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      What tools integrate with Amundsen?
      What tools integrate with EventQL?
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        What are some alternatives to Amundsen and EventQL?
        Atlas
        Atlas is one foundation to manage and provide visibility to your servers, containers, VMs, configuration management, service discovery, and additional operations services.
        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.
        Splunk
        It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.
        Apache Flink
        Apache Flink is an open source system for fast and versatile data analytics in clusters. Flink supports batch and streaming analytics, in one system. Analytical programs can be written in concise and elegant APIs in Java and Scala.
        Amazon Athena
        Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.
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