Software Alternatives, Accelerators & Startups

Maple VS IBM Cloud Pak for Data

Compare Maple VS IBM Cloud Pak for Data and see what are their differences

Maple logo Maple

Considered the leading mathematical software, Maple intertwines the world’s most advanced math engine with a user-friendly interface.

IBM Cloud Pak for Data logo IBM Cloud Pak for Data

Move to cloud faster with IBM Cloud Paks running on Red Hat OpenShift – fully integrated, open, containerized and secure solutions certified by IBM.
  • Maple Landing page
    Landing page //
    2021-12-16
  • IBM Cloud Pak for Data Landing page
    Landing page //
    2023-02-11

Maple videos

Tim Reviews the MAPLE AIRSOFT SUPPLY M4 AEG!

More videos:

  • Review - Whisky Review/Tasting: Crown Royal Maple
  • Review - Pearl Masters Maple Gum Review

IBM Cloud Pak for Data videos

IBM Cloud Pak for Data - Product Walkthrough

More videos:

  • Review - Overview of IBM Cloud Pak for Data

Category Popularity

0-100% (relative to Maple and IBM Cloud Pak for Data)
Technical Computing
73 73%
27% 27
Data Dashboard
0 0%
100% 100
Numerical Computation
100 100%
0% 0
Data Integration
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Maple and IBM Cloud Pak for Data

Maple Reviews

10 Best MATLAB Alternatives [For Beginners and Professionals]
Next that comes in our list is Maple from Maplesoft. It’s an essential mathematical tool for education, engineering, and research.
6 MATLAB Alternatives You Could Use
Having a powerful Math engine, Maple is a pretty feature heavy MATLAB alternative. It lets you enter problems in traditional mathematical notation, and allows creation of custom interfaces. Maple includes a dynamically typed, imperative-style programming language, identical to Pascal. And of course, it can interface with other languages (e.g. C, Java) as well. It has over...
Source: beebom.com

IBM Cloud Pak for Data Reviews

10 Best Big Data Analytics Tools For Reporting In 2022
IBM Cloud Pak for Data is a fully-integrated, cloud native, data and AI platform designed for sophisticated DataOps and business analytics solutions. IBM boasts a potential for a 25-65% reduction in extract, transform, load (ETL) requests by eliminating the complexities of data integration of different data types and structures using Cloud Pak for Data. You can customize...
Source: theqalead.com

What are some alternatives?

When comparing Maple and IBM Cloud Pak for Data, you can also consider the following products

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.

Denodo - Denodo delivers on-demand real-time data access to many sources as integrated data services with high performance using intelligent real-time query optimization, caching, in-memory and hybrid strategies.

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.

GNU Octave - GNU Octave is a programming language for scientific computing.

data.world - The social network for data people