IBM Cloud Pak for Data vs IBM InfoSphere Information Server comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

IBM Cloud Pak for Data
Ranking in Data Integration
16th
Average Rating
8.0
Number of Reviews
11
Ranking in other categories
Data Virtualization (3rd)
IBM InfoSphere Information ...
Ranking in Data Integration
36th
Average Rating
8.4
Number of Reviews
7
Ranking in other categories
Metadata Management (9th)
 

Mindshare comparison

As of June 2024, in the Data Integration category, the mindshare of IBM Cloud Pak for Data is 1.4%, down from 2.2% compared to the previous year. The mindshare of IBM InfoSphere Information Server is 0.7%, up from 0.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration
Unique Categories:
Data Virtualization
25.0%
Metadata Management
1.8%
 

Featured Reviews

KR
Aug 21, 2023
A scalable data analytics and digital transformation tool that provides useful features and integrations
I was not fully part of the core team or implementation. The solution is suitable for data analytics and digital transformation. People considering the solution must decide their use case before exploring the tool’s functionalities or components. Typically, people use an IT-heavy approach, adopting functionalities first and then looking for use cases. I would advise them to do the exact opposite. Whatever we do should be in line with the business purpose and the business vision. We must be mindful of the business model and the organization's maturity to consume the insights. These technologies are targeted towards delivering the right decision-making aids. We should not make it an IT agenda. Overall, I rate the product a nine out of ten.
UmeshKumar1 - PeerSpot reviewer
Jun 21, 2022
Prompt support, reliable, but lacking scalability
IBM InfoSphere Information Server has multiple tools in that product suite. However, we mainly use it as an integration tool I have been using IBM InfoSphere Information Server for approximately five years. IBM InfoSphere Information Server is stable. IBM InfoSphere Information Server should be…

Quotes from Members

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

Pros

"The most valuable features of IBM Cloud Pak for Data are the Watson Studio, where we can initiate more groups and write code. Additionally, Watson Machine Learning is available with many other services, such as APIs which you can plug the machine learning models."
"It is a scalable solution, and we have had no issues with its scalability in our company. I rate the solution's scalability a nine out of ten."
"One of Cloud Pak's best features is the Watson Knowledge Catalog, which helps you implement data governance."
"The most valuable features are data virtualization and reporting."
"Scalability-wise, I rate the solution a nine or ten out of ten."
"The most valuable feature of IBM Cloud Pak for Data is the Modeler flows. The ability to develop models using a graphical approach and the capability to connect to various sources, as well as the data virtualization capabilities, allow me to easily access and utilize data that is dispersed across different sources."
"What I found most helpful in IBM Cloud Pak for Data is containerization, which means it's easy to shift and leave in terms of moving to other clouds. That's an advantage of IBM Cloud Pak for Data."
"Its data preparation capabilities are highly valuable."
"Stability-wise, I rate the solution a ten out of ten."
"The integration with different technologies is the most valuable feature."
"IBM InfoSphere Information Server is stable."
"This solution is extremely flexible and scalable."
 

Cons

"The product is trying to be more maturity in terms of connectors. That, I believe, is an area where Cloud Pak can improve."
"The product must improve its performance."
"The technical support could be a little better."
"The interface could improve because sometimes it becomes slow. Sometimes there is a delay between clicks when using the software, which can make the development process slow. It can take a few seconds to complete one action, and then a few more seconds to do the next one."
"One challenge I'm facing with IBM Cloud Pak for Data is native features have been decommissioned, such as XML input and output. Too many changes have been made, and my company has around one hundred thousand mappings, so my team has been putting more effort into alternative ways to do things. Another area for improvement in IBM Cloud Pak for Data is that it's more complicated to shift from on-premise to the cloud. Other vendors provide secure agents that easily connect with your existing setup. Still, with IBM Cloud Pak for Data, you have to perform connection migration steps, upgrade to the latest version, etc., which makes it more complicated, especially as my company has XML-based mappings. Still, the XML input and output capabilities of IBM Cloud Pak for Data have been discontinued, so I'd like IBM to bring that back."
"Cloud Pak would be improved with integration with cloud service providers like Cloudera."
"One thing that bugs me is how much infrastructure Cloud Pak requires for the initial deployment. It doesn't allow you to start small. The smallest permitted deployment is too big. It's a huge problem that prevents us from implementing the solution in many scenarios."
"The solution could have more connectors."
"IBM InfoSphere Information Server should be more scalable. It should have the option to change the configuration to run on a single, non-multiple node, or multi-threading processing."
"This solution would benefit from the engine being made more lightweight."
"Their technical support needs improvement."
"There are certain shortcomings in the cloud side of the solution, where improvements are required."
 

Pricing and Cost Advice

"Cloud Pak's cost is a little high."
"For the licensing of the solution, there is a yearly payment that needs to be made. Also, since it is expensive, cost-wise, I rate the solution an eight or nine out of ten."
"I think that this product is too expensive for smaller companies."
"IBM Cloud Pak for Data is expensive. If we include the training time and the machine learning, it's expensive. The cost of the execution is more reasonable."
"I don't have the exact licensing cost for IBM Cloud Pak for Data, as my company is still finalizing requirements, including monthly, yearly, and three-year licensing fees. Still, on a scale of one to five, I'd rate it a three because, compared to other vendors, it's more complicated."
"It's quite expensive."
"The solution is expensive."
"The licensing cost of IBM InfoSphere Information Server depends on how many users there are."
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Top Industries

By visitors reading reviews
Financial Services Firm
27%
Computer Software Company
11%
Manufacturing Company
8%
Government
7%
Financial Services Firm
20%
Government
11%
Insurance Company
10%
Computer Software Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about IBM Cloud Pak for Data?
DataStage allows me to connect to different data sources.
What needs improvement with IBM Cloud Pak for Data?
The product must improve its performance. We see typical cloud-related issues in the solution. IBM can still focus more on keeping the performance up and keeping it 100% available all the time.
What do you like most about IBM InfoSphere Information Server?
Stability-wise, I rate the solution a ten out of ten.
What needs improvement with IBM InfoSphere Information Server?
There are certain shortcomings in the cloud side of the solution, where improvements are required. In our company, we are presently in the process of doing a PoC phase since we have the solution cu...
What is your primary use case for IBM InfoSphere Information Server?
I use IBM InfoSphere Information Server in retail banking for transformation purposes.
 

Also Known As

Cloud Pak for Data
InfoSphere Information Server, IBM Information Server
 

Learn More

Video not available
 

Overview

 

Sample Customers

Qatar Development Bank, GuideWell, Skanderborg Music Festival
Canadian National Railway Company, Chickasaw Nation Division of Commerce, Swedish Armed Forces, BG RCI, Janata Sahakari Bank Ltd., University of Arizona, Biogrid Australia
Find out what your peers are saying about IBM Cloud Pak for Data vs. IBM InfoSphere Information Server and other solutions. Updated: May 2024.
787,817 professionals have used our research since 2012.