Software Alternatives, Accelerators & Startups

SAP Analytics Cloud VS Qubole

Compare SAP Analytics Cloud VS Qubole and see what are their differences

SAP Analytics Cloud logo SAP Analytics Cloud

SAP Analytics Cloud is an all-in-one platform for business intelligence, planning, and predictive analytics, supporting better business decisions

Qubole logo Qubole

Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.
  • SAP Analytics Cloud Landing page
    Landing page //
    2023-05-10
  • Qubole Landing page
    Landing page //
    2023-06-22

SAP Analytics Cloud videos

SAP Analytics Cloud Product Overview

More videos:

  • Demo - SAP Analytics Cloud: An Overview and Insights [+LIVE DEMO], SAP TechEd Lecture
  • Demo - SAP Analytics Cloud Overview and Demo

Qubole videos

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 SAP Analytics Cloud and Qubole)
Data Dashboard
37 37%
63% 63
Development
100 100%
0% 0
Big Data
0 0%
100% 100
Financial Performance Management

User comments

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What are some alternatives?

When comparing SAP Analytics Cloud and Qubole, you can also consider the following products

Board - Unified BI, CPM and predictive analytics software.

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

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

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.