IBM Cloud Pak for Data vs. IBM InfoSphere Information Server

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
IBM Cloud Pak for Data
Score 8.6 out of 10
N/A
IBM Cloud Pak for Data (formerly IBM Cloud Private for Data) provides data management, data governance, and automated data discovery and classification.N/A
IBM InfoSphere Information Server
Score 8.0 out of 10
N/A
IBM InfoSphere Information Server is a data integration platform used to understand, cleanse, monitor and transform data. The offerings provide massively parallel processing (MPP) capabilities.N/A
Pricing
IBM Cloud Pak for DataIBM InfoSphere Information Server
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
IBM Cloud Pak for DataIBM InfoSphere Information Server
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
IBM Cloud Pak for DataIBM InfoSphere Information Server
Considered Both Products
IBM Cloud Pak for Data
Chose IBM Cloud Pak for Data
IBM has healing mechanisms when resource usage is high. This platform performs well, but when it runs out of capacity, it has crashed for many clients. This is innate in its original design.
Chose IBM Cloud Pak for Data
Generally this tool has been very helpful and innovative because increase our workflow and collaboration using integrated multi-cloud platform. It also enables us to deploy in any flexible way like on-premises or cloud which saves time and hard disk space. It also enables us to …
Chose IBM Cloud Pak for Data
better inbuilt integration with many system to store data from multiple application to run matured AI/ML solution, which will give prediction for utility service , SAP DI solution was not stable enough , faced
Chose IBM Cloud Pak for Data
IBM Cloud Pak for Data takes the IBM cognos solution and provides this on an enterprise cloud platform that can be extended to support better data integration and data science capabilities.
IBM InfoSphere Information Server
Chose IBM InfoSphere Information Server
I particularly believe that Information Server, especially DataStage, is superior in many aspects to the Oracle Data Integrator tool. Several market analysts such as Gartner and / or Forrester better position DataStage on the Oracle solution.
Chose IBM InfoSphere Information Server
DataStage is more robust and stable than ODI
The ability to perform complex transformations or implement business rules is much more developed in DS
Chose IBM InfoSphere Information Server
Denodo not an ETL tool but you can manage your data with it as well as Infosphere
Chose IBM InfoSphere Information Server
Information Server and Informatica PowerCenter are the two leading integration platforms worldwide. Information Server has a better integration with other IBM products such as MDM or Cognos but the decision to use one or another platform is more a price decision and quantity of …
Chose IBM InfoSphere Information Server
Information can be used for large but simple implementation. InfoSphere provides more intergaration options with outside world. Abinitio is great product but stopped innvoating and is not kept up to date with market needs and changes. Talend is good new product. Good Big Data …
Features
IBM Cloud Pak for DataIBM InfoSphere Information Server
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
IBM Cloud Pak for Data
-
Ratings
IBM InfoSphere Information Server
10.0
Ratings
18% above category average
Connect to traditional data sources00 Ratings10.00 Ratings
Connecto to Big Data and NoSQL00 Ratings10.00 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
IBM Cloud Pak for Data
-
Ratings
IBM InfoSphere Information Server
10.0
Ratings
20% above category average
Simple transformations00 Ratings10.00 Ratings
Complex transformations00 Ratings10.00 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
IBM Cloud Pak for Data
-
Ratings
IBM InfoSphere Information Server
9.7
Ratings
20% above category average
Data model creation00 Ratings10.00 Ratings
Metadata management00 Ratings10.00 Ratings
Business rules and workflow00 Ratings10.00 Ratings
Collaboration00 Ratings10.00 Ratings
Testing and debugging00 Ratings9.00 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
IBM Cloud Pak for Data
-
Ratings
IBM InfoSphere Information Server
9.5
Ratings
16% above category average
Integration with data quality tools00 Ratings10.00 Ratings
Integration with MDM tools00 Ratings9.00 Ratings
Best Alternatives
IBM Cloud Pak for DataIBM InfoSphere Information Server
Small Businesses
Egnyte
Egnyte
Score 9.6 out of 10
Skyvia
Skyvia
Score 9.9 out of 10
Medium-sized Companies
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
dbt
dbt
Score 9.0 out of 10
Enterprises
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
InterSystems IRIS
InterSystems IRIS
Score 7.7 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
IBM Cloud Pak for DataIBM InfoSphere Information Server
Likelihood to Recommend
9.9
(0 ratings)
10.0
(0 ratings)
Likelihood to Renew
9.1
(0 ratings)
8.0
(0 ratings)
User Testimonials
IBM Cloud Pak for DataIBM InfoSphere Information Server
Likelihood to Recommend
Unlike others analytics tool IBM Cloud Pak for Data provides out-of-the-box privacy, model interpretability and fairness monitoring, along with automatic explanation of data and models written in business language. It's a great tool that all business should emulate. Great user experience because of every feature is functional and improved constantly.
Read full review
You can use infosphere: -If you have multiple targets and source systems and they are different than each other. -If your infostructure is so big and unplaned well so you can't find what you want to see. -If your databases not so strong to process your data
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Pros
  • The AI services catalog like the Watson Assistant is very good.
  • The analytics dashboard featuring all the recent history is very good with IBM.
  • Searching for data through the unified search option is super cool.
Read full review
  • It is very strong to make transformations/data derivations
  • It is very easy to connect to various external data sources. It has an interface (stages) for each connection that simplifies the task
  • It is a stable platform. And that parallelism helps make it fast for loading, if the process is well designed
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Cons
  • It is complex; The platform comes with several features from MLOPs to Customer 360 which may take a long time for the user to understand.
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  • Lack of a strong web development environment.
  • Metadata propagation in Jobs is somewhat complex.
  • The possibility to develop jobs in Parallel and/or Server Engines is confusing.
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Likelihood to Renew
No answers on this topic
  • Scale of implementation
  • IBM techsupport
Read full review
Alternatives Considered
IBM has healing mechanisms when resource usage is high. This platform performs well, but when it runs out of capacity, it has crashed for many clients. This is innate in its original design
Read full review
I particularly believe that Information Server, especially DataStage, is superior in many aspects to the Oracle Data Integrator tool. Several market analysts such as Gartner and / or Forrester better position DataStage on the Oracle solution.
Read full review
Return on Investment
  • can improve readiness for cloud migration, improve licensing flexibility with IBM, and reduce both hardware purchases and infrastructure management efforts.
  • reduces the expenses of internal resources.
  • should improve efficiencies, reduce risks, and increase performance
Read full review
  • Information Server can positively impact the costs of companies by increasing the productivity of development and therefore reduce their time and costs. It is estimated that DataStage can increase a developer's productivity by 40% on average.
  • Better data governance
  • Improve data quality and reduce bad data impacts
Read full review
ScreenShots