Software Alternatives & Reviews

Microsoft Azure HDInsight VS Apache Kudu

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

Microsoft Azure HDInsight logo Microsoft Azure HDInsight

Azure HDInsight is an Apache Hadoop distribution powered by the cloud.

Apache Kudu logo Apache Kudu

Apache Kudu is Hadoop's storage layer to enable fast analytics on fast data.
  • Microsoft Azure HDInsight Landing page
    Landing page //
    2022-10-02
  • Apache Kudu Landing page
    Landing page //
    2021-09-26

Microsoft Azure HDInsight videos

Part 1 - Introduction to Microsoft Azure HDInsight

Apache Kudu videos

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

Category Popularity

0-100% (relative to Microsoft Azure HDInsight and Apache Kudu)
Big Data
100 100%
0% 0
Technical Computing
0 0%
100% 100
Data Dashboard
34 34%
66% 66
Business & Commerce
0 0%
100% 100

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What are some alternatives?

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

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

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

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

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.

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.

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.