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IBM Cloud Pak for Data vs Microsoft Graph Data Connect comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

IBM Cloud Pak for Data
Ranking in Data Integration
19th
Average Rating
8.2
Reviews Sentiment
6.1
Number of Reviews
20
Ranking in other categories
Data Virtualization (3rd)
Microsoft Graph Data Connect
Ranking in Data Integration
113th
Average Rating
0.0
Number of Reviews
0
Ranking in other categories
Cloud Data Integration (36th)
 

Featured Reviews

ArchanaSingh - PeerSpot reviewer
Senior Data Analyst at Wipro Limited
Collaborative data platform has transformed analytics and now drives faster decisions
The best features IBM Cloud Pak for Data offers include robust data visualization, centralized data analytics, data reliability, and compatibility with hybrid and multi-cloud environments. The compatibility with hybrid and multi-cloud environments has helped our organization as data visualization is very simple. Migrations, reading, analysis, and data management from other sources are performed without problems of requirements. We have a team of experts in IBM Cloud Pak for Data to maintain security and correct data management easily. I find this cloud excellent for visualizing and managing data across networks and also fulfilling fastest data storage, making it less complex and completely improving productivity in my organization. Everything is managed in multiple environments without any problem. IBM Cloud Pak for Data has positively impacted my organization, and I have noticed some improvement since we started using this tool. Configuration with hybrid and multi-cloud environments has been very seamless and easy. It is a robust platform capable of working with multiple data sources where we gain insights to make data-driven decisions easily. It automates data analysis for quick and better performance. We have seen improvements in analysis and data correction from multiple sources. Our productivity in the company is growing, thanks to the data analysis team. We have also seen a robust hybrid and multi-cloud access system working seamlessly. I can share specific outcomes that show how productivity has grown and how performance has improved since the data is automated, and the analysis is done much faster, saving us a lot of time. We have been able to save approximately 80 percent of our time. We are not doing data analysis manually, so this relieves our data department of dealing with data. We have been relieved of a lot of duties, and now we are able to focus on other strategic tasks. Our productivity has greatly increased since we are able to make concrete and data-driven decisions easily.
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Top Industries

By visitors reading reviews
Financial Services Firm
20%
Manufacturing Company
10%
Computer Software Company
7%
University
5%
Computer Software Company
43%
Outsourcing Company
21%
Comms Service Provider
11%
Manufacturing Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business9
Large Enterprise17
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for IBM Cloud Pak for Data?
Regarding the price, I know IBM is traditionally relatively expensive in the Hungarian market, but we work together with the local IBM sales team, and on a project basis they manage to negotiate th...
What needs improvement with IBM Cloud Pak for Data?
I see room for improvement in IBM Cloud Pak for Data, as it lacked the lake house. However, IBM issued the new product which is Watsonx.data. This is a new product for IBM and it provides all the m...
What is your primary use case for IBM Cloud Pak for Data?
I believe IBM Cloud Pak for Data is suitable for mid-size to bigger companies. It is not tailored for smaller customers. My customers use IBM DataStage for ETL processes. One client has implemented...
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Also Known As

Cloud Pak for Data
No data available
 

Overview

 

Sample Customers

Qatar Development Bank, GuideWell, Skanderborg Music Festival
Information Not Available
Find out what your peers are saying about Informatica, Microsoft, Qlik and others in Data Integration. Updated: May 2026.
894,807 professionals have used our research since 2012.