Software Alternatives & Reviews

Public Data Market VS IBM Cloud Pak for Data

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

Public Data Market logo Public Data Market

Instant access to clean and structured data from all over the world

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.
  • Public Data Market Landing page
    Landing page //
    2023-11-29
  • IBM Cloud Pak for Data Landing page
    Landing page //
    2023-02-11

Public Data Market videos

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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 Public Data Market and IBM Cloud Pak for Data)
Data Dashboard
21 21%
79% 79
Data Integration
24 24%
76% 76
AI Platform
15 15%
85% 85
Technical Computing
0 0%
100% 100

User comments

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Reviews

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Public Data Market Reviews

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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 Public Data Market and IBM Cloud Pak for Data, you can also consider the following products

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.

Cinchy - Developed for real-time data collaboration, Cinchy Dataware Platform addresses the root cause of data fragmentation and data silos, eliminates the cost and need for time-consuming data integration, and mitigates risks of data duplication.

Azure Databricks - Azure Databricks is a fast, easy, and collaborative Apache Spark-based big data analytics service designed for data science and data engineering.

data.world - The social network for data people

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

Teradata QueryGrid - Data Fabric