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Yandex.Metrica VS Apache Kudu

Compare Yandex.Metrica VS Apache Kudu and see what are their differences

Yandex.Metrica logo Yandex.Metrica

A free tool for evaluating site traffic and analyzing user behavior

Apache Kudu logo Apache Kudu

Apache Kudu is Hadoop's storage layer to enable fast analytics on fast data.
  • Yandex.Metrica Landing page
    Landing page //
    2023-07-27
  • Apache Kudu Landing page
    Landing page //
    2021-09-26

Yandex.Metrica videos

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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 Yandex.Metrica and Apache Kudu)
Analytics
100 100%
0% 0
Technical Computing
0 0%
100% 100
Web Analytics
100 100%
0% 0
Office & Productivity
0 0%
100% 100

User comments

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What are some alternatives?

When comparing Yandex.Metrica and Apache Kudu, you can also consider the following products

Google Analytics - Improve your website to increase conversions, improve the user experience, and make more money using Google Analytics. Measure, understand and quantify engagement on your site with customized and in-depth reports.

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

Clicky - Clicky Web Analytics is a simple way to monitor, analyze, and react to your blog or web site's traffic in real time.

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.

Matomo - Matomo is an open-source web analytics platform

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.