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Apache Kudu VS Microsoft Azure HDInsight

Compare Apache Kudu VS Microsoft Azure HDInsight and see what are their differences

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Apache Kudu logo Apache Kudu

Apache Kudu is Hadoop's storage layer to enable fast analytics on fast data.

Microsoft Azure HDInsight logo Microsoft Azure HDInsight

Azure HDInsight is an Apache Hadoop distribution powered by the cloud.
  • Apache Kudu Landing page
    Landing page //
    2021-09-26
  • Microsoft Azure HDInsight Landing page
    Landing page //
    2022-10-02

Apache Kudu videos

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Apache Kudu and Spark SQL for Fast Analytics on Fast Data (Mike Percy)

More videos:

  • Review - Apache Kudu (Incubating): New Hadoop Storage for Fast Analytics on Fast Data
  • Review - Apache Kudu: Fast Analytics on Fast Data | DataEngConf SF '16

Microsoft Azure HDInsight videos

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Part 1 - Introduction to Microsoft Azure HDInsight

Category Popularity

0-100% (relative to Apache Kudu and Microsoft Azure HDInsight)

Apache Kudu

Microsoft Azure HDInsight

Technical Computing
100 100%
Technical Computing
0% 0
Big Data
0 0%
Big Data
100% 100
Business & Commerce
100 100%
Business & Commerce
0% 0
Data Dashboard
66 66%
Data Dashboard
34% 34

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What are some alternatives?

When comparing Apache Kudu and Microsoft Azure HDInsight, you can also consider the following products

Azure Databricks - Azure Databricks is a fast, easy, and collaborative Apache Spark-based big data analytics service designed for data science and data engineering.

Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.

MyAnalytics - MyAnalytics, now rebranded to Microsoft Viva Insights, is a customizable suite of tools that integrates with Office 365 to drive employee engagement and increase productivity.

Impala - Impala is a modern, open source, distributed SQL query engine for Apache Hadoop.

ATLAS.ti - ATLAS.ti is a powerful workbench for the qualitative analysis of large bodies of textual, graphical, audio and video data. It offers a variety of sophisticated tools for accomplishing the tasks associated with any systematic approach to "soft" data.

SQream - SQream empowers organizations to analyze the full scope of their Massive Data, from terabytes to petabytes, to achieve critical insights which were previously unattainable.

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