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Prophix Software VS Qubole

Compare Prophix Software VS Qubole and see what are their differences

Unimus
Unimus is a Network Automation and Configuration management (NCM) solution designed for fast deployment network-wide and ease of use. Unimus does not require learning any abstraction or templating languages, and does not require any coding skills. featured
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Prophix Software logo Prophix Software

Prophix develops Corporate Performance Management (CPM) software that automates important financial and operational processes.

Qubole logo Qubole

Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.
  • Prophix Software Landing page
    Landing page //
    2023-09-25
  • Qubole Landing page
    Landing page //
    2023-06-22

Prophix Software videos

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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

Category Popularity

0-100% (relative to Prophix Software and Qubole)

Prophix Software

Qubole

Data Dashboard
72 72%
Data Dashboard
28% 28
Financial Performance Management
100 100%
Financial Performance Management
0% 0
Big Data
0 0%
Big Data
100% 100
Development
100 100%
Development
0% 0

User comments

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What are some alternatives?

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

Anaplan - Planning & performance management platform

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

Board - Unified BI, CPM and predictive analytics software.

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

Planful - Planful is an online development platform with different remarkable services and features that enable users to make a rolling forecast, helping their business meet with every change.

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

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