Software Alternatives, Accelerators & Startups

Ascend VS Apache Kudu

Compare Ascend VS Apache Kudu and see what are their differences

Ascend logo Ascend

Ascend.io is a platform introduces new cognitive models for working with your big data pipelines.

Apache Kudu logo Apache Kudu

Apache Kudu is Hadoop's storage layer to enable fast analytics on fast data.
  • Ascend Landing page
    Landing page //
    2018-10-31
  • Apache Kudu Landing page
    Landing page //
    2021-09-26

Ascend 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 Ascend and Apache Kudu)
Technical Computing
40 40%
60% 60
Numerical Computation
100 100%
0% 0
Business & Commerce
0 0%
100% 100
Math Solver
100 100%
0% 0

User comments

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What are some alternatives?

When comparing Ascend and Apache Kudu, you can also consider the following products

Wolfram Mathematica - Mathematica has characterized the cutting edge in specialized processing—and gave the chief calculation environment to a large number of pioneers, instructors, understudies, and others around the globe.

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

Maxima - Maxima is a fairly complete computer algebra system written in Lisp with an emphasis on symbolic computation.

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.

Xcos - Xcos is a graphical editor to design hybrid dynamical systems models.

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.