IBM Cloud Pak for Data vs IBM InfoSphere Information Server comparison

IBM Cloud Pak for Data and IBM InfoSphere Information Server are both solutions in the Data Integration category. IBM Cloud Pak for Data is ranked #18 with an average rating of 8.3, while IBM InfoSphere Information Server is ranked #34 with an average rating of 8.0. IBM Cloud Pak for Data holds a 1.7% mindshare in DI, compared to IBM InfoSphere Information Server’s 1.1% mindshare. Additionally, 85% of IBM Cloud Pak for Data users are willing to recommend the solution, compared to 100% of IBM InfoSphere Information Server users who would recommend it.

IBM Cloud Pak for Data

Read 12 IBM Cloud Pak for Data reviews

3,491 Views
2,410 Comparison Views

85% willing to recommend

IBM InfoSphere Information ...

Read 7 IBM InfoSphere Information Server reviews

1,353 Views
1,119 Comparison Views

100% willing to recommend

IBM Cloud Pak for Data

IBM InfoSphere Information ...

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Executive Summary

We performed a comparison between IBM Cloud Pak for Data and IBM InfoSphere Information Server based on real PeerSpot user reviews.

Find out in this report how the two Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed IBM Cloud Pak for Data vs. IBM InfoSphere Information Server Report (Updated: October 2024).

Buyer's Guide

IBM Cloud Pak for Data vs. IBM InfoSphere Information Server

October 2024

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Categories and Ranking

IBM Cloud Pak for Data

Ranking in Data Integration

18th

Average Rating

8.0

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Data Virtualization (3rd)

IBM InfoSphere Information ...

Ranking in Data Integration

34th

Average Rating

8.4

Number of Reviews

Ranking in other categories

Metadata Management (8th)

Mindshare comparison

As of November 2024, in the Data Integration category, the mindshare of IBM Cloud Pak for Data is 1.7%, down from 1.8% compared to the previous year. The mindshare of IBM InfoSphere Information Server is 1.1%, up from 0.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration

Featured Reviews

Murali B

Associate Manager at Ernst & Young

Provides IBM Watson Catalog and data pipelines, but catalog searching needs to be improved

If people are with the existing stuff, I would definitely suggest they go with IBM Cloud Pak for Data. I usually recommend the solution for the financial sector, where I worked for about ten years. I worked with IBM for almost eight years. Unless they want to migrate to a new product completely, I recommend IBM Cloud Pak for Data to explore current business. It is easy to integrate the tool with other solutions. Except for metadata queries, metadata validations, and metadata integrations, I don't see any issues with the solution. I would recommend the solution to other users if it supports their existing infrastructure. Some people don't want to put their data in the cloud because they are concerned about how the data is secured with encryption and decryption. For such cases, we have listed out all the pros and cons of the solution to suggest them to users. Overall, I rate the solution a seven out of ten.

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UmeshKumar1

Business Analyst Team Lead at Accenture

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…

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Quotes from Members

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

Pros

"Cloud Pak's most valuable features are IBM MQ, IBM App Connect, IBM API Connect, and ISPF."

"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."

"The most valuable features are data virtualization and reporting."

"DataStage allows me to connect to different data sources."

"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."

"Scalability-wise, I rate the solution a nine or ten out of ten."

"You can model the data there, connect the data models with the business processes and create data lineage processes."

"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."

More IBM Cloud Pak for Data pros

"IBM InfoSphere Information Server is stable."

"Stability-wise, I rate the solution a ten out of ten."

"This solution is extremely flexible and scalable."

"The integration with different technologies is the most valuable feature."

Cons

"The solution's user experience is an area that has room for improvement."

"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."

"The product must improve its performance."

"The technical support could be a little better."

"There is a solution that is part of IBM Cloud Pak for Data called Watson OpenScale. It is used to monitor the deployed models for the quality and fairness of the results. This is one area that needs a lot of improvement."

"The tool depends on the control plane, an OpenShift container platform utilized as an orchestration layer...So, we have communicated this issue to IBM and asked if it is feasible to adapt the solution to work on a Kubernetes platform that we support."

"The solution's catalog searching or map search needs to be improved."

"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."

More IBM Cloud Pak for Data cons

"There are certain shortcomings in the cloud side of the solution, where improvements are required."

"This solution would benefit from the engine being made more lightweight."

"Their technical support needs improvement."

"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."

Pricing and Cost Advice

"Cloud Pak's cost is a little high."

"It's quite expensive."

"The solution's pricing is competitive with that of other vendors."

"The solution is expensive."

"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."

"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 think that this product is too expensive for smaller companies."

"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."

"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

28%

Computer Software Company

11%

Manufacturing Company

Government

Financial Services Firm

21%

Government

13%

Insurance Company

10%

Computer Software Company

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.

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What is your experience regarding pricing and costs for IBM Cloud Pak for Data?

The solution's pricing is competitive with that of other vendors. The pricing also depends on the number of users.

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What needs improvement with IBM Cloud Pak for Data?

Previously, we used to extract the information in the DSX and the XML formats. IBM Cloud Pak for Data exports information mostly on the ISX, which is an encrypted format. The only challenge with th...

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What do you like most about IBM InfoSphere Information Server?

Stability-wise, I rate the solution a ten out of ten.

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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...

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What is your primary use case for IBM InfoSphere Information Server?

I use IBM InfoSphere Information Server in retail banking for transformation purposes.

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Comparisons

IBM InfoSphere DataStage vs IBM Cloud Pak for Data

Compared 42% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs IBM Cloud Pak for Data

Compared 19% of the time

Azure Data Factory vs IBM Cloud Pak for Data

Compared 16% of the time

Denodo vs IBM Cloud Pak for Data

Compared 8% of the time

Oracle Data Integrator (ODI) vs IBM Cloud Pak for Data

Compared 2% of the time

More IBM Cloud Pak for Data Competitors

IBM InfoSphere DataStage vs IBM InfoSphere Information Server

Compared 71% of the time

Qlik Replicate vs IBM InfoSphere Information Server

Compared 11% of the time

Oracle GoldenGate vs IBM InfoSphere Information Server

Compared 7% of the time

IBM Watson Knowledge Catalog vs IBM InfoSphere Information Server

Compared 7% of the time

More IBM InfoSphere Information Server Competitors

Product Reports

Buyer's Guide

IBM Cloud Pak for Data

November 2024

Download IBM Cloud Pak for Data product report

Buyer's Guide

Data Integration

November 2024

IBM InfoSphere Information Server report

Download IBM InfoSphere Information Server product report

Also Known As

Cloud Pak for Data

InfoSphere Information Server, IBM Information Server

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IBM

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IBM

Overview

IBM Cloud Pak® for Data is a fully-integrated data and AI platform that modernizes how businesses collect, organize and analyze data to infuse AI throughout their organizations. Cloud-native by design, the platform unifies market-leading services spanning the entire analytics lifecycle. From data management, DataOps, governance, business analytics and automated AI, IBM Cloud Pak for Data helps eliminate the need for costly, and often competing, point solutions while providing the information architecture you need to implement AI successfully.

Building on the streamlined hybrid-cloud foundation of Red Hat® OpenShift®, IBM Cloud Pak for Data takes advantage of the underlying resource and infrastructure optimization and management. The solution fully supports multicloud environments such as Amazon Web Services (AWS), Azure, Google Cloud, IBM Cloud™ and private cloud deployments. Find out how IBM Cloud Pak for Data can lower your total cost of ownership and accelerate innovation.

IBM InfoSphere Information Server is a market-leading data integration platform which includes a family of products that enable you to understand, cleanse, monitor, transform, and deliver data, as well as to collaborate to bridge the gap between business and IT. InfoSphere Information Server provides massively parallel processing (MPP) capabilities to deliver a highly scalable and flexible integration platform that handles a variety of data volumes (big, small, and everything in between).

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

Buyer's Guide

IBM Cloud Pak for Data vs. IBM InfoSphere Information Server

October 2024

Free Report: IBM Cloud Pak for Data vs. IBM InfoSphere Information Server

Find out what your peers are saying about IBM Cloud Pak for Data vs. IBM InfoSphere Information Server and other solutions. Updated: October 2024.

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