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WorldData.ai VS IBM Cloud Pak for Data

Compare WorldData.ai VS IBM Cloud Pak for Data and see what are their differences


Analyze and download over 3.3 Billion curated external trends.

Move to cloud faster with IBM Cloud Paks running on Red Hat OpenShift – fully integrated, open, containerized and secure solutions certified by IBM.
WorldData.ai Landing Page
WorldData.ai Landing Page

WorldData.AI comes with a built-in workspace – the next-generation hyper-computing platform powered by a library of 3.3 billion curated external trends. Upload your data and combine it with external trends to build, train, and deploy predictive models with one click! WorldData.AI inspects your raw data, applies feature processors, chooses the best set of algorithms, trains and tunes multiple models, and then ranks model performance.

IBM Cloud Pak for Data Landing Page
IBM Cloud Pak for Data Landing Page

WorldData.ai details

Categories
Data Dashboard Data Analysis Business Intelligence
Website worlddata.ai  
Pricing URL-
Details $-
Platforms
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Release Date2020-03-20

IBM Cloud Pak for Data details

Categories
Technical Computing Data Dashboard Numerical Computation
Website ibm.com  
Pricing URL-
Details $-
Platforms
-
Release Date-

WorldData.ai videos

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IBM Cloud Pak for Data videos

IBM Cloud Pak for Data - Product Walkthrough

More videos:

  • - Overview of IBM Cloud Pak for Data

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What are some alternatives?

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

data.world - The social network for data people

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

Quandl - Financial Data API - Financial Services

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

Datawhale - Powerful people data for enterprises.

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.

User reviews

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