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Qubole VS MyAnalytics

Compare Qubole VS MyAnalytics and see what are their differences

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Qubole logo Qubole

Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.

MyAnalytics logo 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.
  • Qubole Landing page
    Landing page //
    2023-06-22
  • MyAnalytics Landing page
    Landing page //
    2023-09-21

Qubole videos

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Fast and Cost Effective Machine Learning Deployment with S3, Qubole, and Spark

More videos:

  • Review - Migrating Big Data to the Cloud: WANdisco, GigaOM and Qubole
  • Review - Democratizing Data with Qubole

MyAnalytics videos

No MyAnalytics videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Qubole and MyAnalytics)

Qubole

MyAnalytics

Data Dashboard
77 77%
Data Dashboard
23% 23
Technical Computing
51 51%
Technical Computing
49% 49
Big Data
100 100%
Big Data
0% 0
Business & Commerce
0 0%
Business & Commerce
100% 100

User comments

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What are some alternatives?

When comparing Qubole and MyAnalytics, you can also consider the following products

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

Arcadia Enterprise - Arcadia Enterprise is the ultimate native BI for data lakes with real-time streaming visualizations, all without adding hardware or moving data.

MATLAB - A high-level language and interactive environment for numerical computation, visualization, and programming

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.

GraphPad Prism - Overview. GraphPad Prism, available for both Windows and Mac computers, combines scientific graphing, comprehensive curve fitting (nonlinear regression), understandable statistics, and data organization.

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