Software Alternatives & Reviews

HyperWorks VS Qubole

Compare HyperWorks VS Qubole and see what are their differences

HyperWorks logo HyperWorks

Founded in 1985, Altair is focused on the development and application of simulation technology to synthesize and optimize designs, processes and decisions for improved business performance.

Qubole logo Qubole

Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.
  • HyperWorks Landing page
    Landing page //
    2023-10-04
  • Qubole Landing page
    Landing page //
    2023-06-22

HyperWorks videos

10 Reasons to use Altair HyperWorks™

More videos:

  • Review - 【HyperWorks 2019 X】 一.基礎功能之01.HWX的基本介紹 | 祐謙科技
  • Review - Hyperworks X - 3D Topology Optimization

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 HyperWorks and Qubole)
Technical Computing
62 62%
38% 38
Data Dashboard
0 0%
100% 100
3D
100 100%
0% 0
Big Data
0 0%
100% 100

User comments

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What are some alternatives?

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

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

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

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.

Autodesk Fusion 360 - Integrated CAD, CAM, and CAE featuring collaborative editing and cloud-based computation.

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

SimScale - SimScale makes high-fidelity engineering simulation truly accessible. From anywhere. At any scale. In the cloud.