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Virtual TI VS Apache Kudu

Compare Virtual TI VS Apache Kudu and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Virtual TI logo Virtual TI

Virtual TI, or "VTI," is a feature-rich graphing calculator emulator for Microsoft...

Apache Kudu logo Apache Kudu

Apache Kudu is Hadoop's storage layer to enable fast analytics on fast data.
  • Virtual TI Landing page
    Landing page //
    2020-02-19
  • Apache Kudu Landing page
    Landing page //
    2021-09-26

Virtual TI videos

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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

Category Popularity

0-100% (relative to Virtual TI and Apache Kudu)

Virtual TI

Apache Kudu

Office & Productivity
42 42%
Office & Productivity
58% 58
Technical Computing
41 41%
Technical Computing
59% 59
Math Solver
100 100%
Math Solver
0% 0
Business & Commerce
0 0%
Business & Commerce
100% 100

User comments

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What are some alternatives?

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

Wabbitemu - Wabbitemu is an accurate emulator for Texas Instruments based calculators TI-73 to TI-86.

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.

CEmu TI 84+ CE Emulator - Emulates the TI 84+ CE and TI 83 Premium CE calculators from a ROM dump from a real calculator.

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

Emu48 - HP38/39/40/48/49 Emulator

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.

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