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IBM Infosphere Information Analyzer vs Informatica Intelligent Data Management Cloud (IDMC) comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

IBM Infosphere Information ...
Ranking in Data Quality
10th
Average Rating
7.6
Reviews Sentiment
5.7
Number of Reviews
6
Ranking in other categories
No ranking in other categories
Informatica Intelligent Dat...
Ranking in Data Quality
1st
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
181
Ranking in other categories
Data Integration (3rd), Business Process Management (BPM) (7th), Business-to-Business Middleware (3rd), API Management (7th), Cloud Data Integration (3rd), Data Governance (2nd), Test Data Management (3rd), Cloud Master Data Management (MDM) Solutions (1st), Data Management Platforms (DMP) (2nd), Data Masking (2nd), Metadata Management (1st), Test Data Management Services (4th), Product Information Management (PIM) (1st), Data Observability (2nd)
 

Featured Reviews

Tirthankar Roy Chowdhury - PeerSpot reviewer
Accessible from anywhere and easy to learn even for non-technical users, but needs more connectors and faster issue resolution from technical support
What could be improved or added to IBM Infosphere Information Analyzer is more connectors. This solution comes in a package with IBM InfoSphere DataStage and is missing a lot of connectors to various, new data sources, so IBM needs to work on that area. Compared with competitors such as Informatica and Alation which acquired other small companies to work on the connectors, IBM has not done any testing and has tried to develop the connectors in-house, but that's taking a lot of time. As a result, my company is unable to connect to a lot of data sources, particularly modern data sources.
Raj Sethupathi - PeerSpot reviewer
Offers profiling and address standardization but can be complicated
Informatica Data Quality has its data warehouse, primarily using Oracle and some SQL databases. You need a database to host the data. The cleansed version of the data is stored in the data warehouse. It integrates with PowerCenter and other Informatica tools. The integration details can be complex, but a regional setup is involved in this process. Profiling smaller datasets, such as 10,000-50,000 records, worked fine. However, unexpected issues could arise with larger datasets, such as thousands of records or more, especially with tables containing many columns. Handling tables with fifty or more columns can be challenging, even in Excel. A mismatch in data types could cause the entire system to crash. Continual enhancements are being made to address these issues, which can be unique to specific industries like finance and healthcare.

Quotes from Members

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

Pros

"You can also schedule and run data quality on the critical data elements on the databases."
"What's most useful in IBM Infosphere Information Analyzer is you can access it from anywhere. It's also pretty easy to learn, so even non-technical business people use it and found the solution easy to learn."
"The most important features are the mastering of the data and the UI intuitiveness."
"The most valuable features of Informatica MDM are it is cloud-enabled and has all the elements that are supposed to have in terms of MDM as a solution. All the features that are there. It is very well-integrated with any of the SAP and non-SAP applications. It is quite user-friendly. The user experience that you receive in Informatica MDM is quite good."
"It has improved our organization because it has made our data more reliable. Data is the most important asset these days, and in order to trust your data, you need these tools to make sure that your data is clean and reliable."
"I like the number of options that are presented with Informatica, fuzzy matching, and your screen."
"The solution is applicable for both technical and business users."
"It has a more UI-based tool, and the scripting is good."
"The most valuable feature of Informatica Cloud Data Integration is Pushback. You are able to push the data to the solution itself, and it can handle the queries. It helps us a lot. With other tools, the burden is kept on the server."
"It has been leading the market with hierarchy management and all the different match concepts and algorithms. They're very robust."
 

Cons

"What could be improved or added to IBM Infosphere Information Analyzer is more connectors. This solution comes in a package with IBM InfoSphere DataStage and is missing a lot of connectors to various, new data sources, so IBM needs to work on that area. Compared with competitors such as Informatica and Alation which acquired other small companies to work on the connectors, IBM has not done any testing and has tried to develop the connectors in-house, but that's taking a lot of time. As a result, my company is unable to connect to a lot of data sources, particularly modern data sources."
"The solution is outdated and is not on cloud."
"The cloud version could be better in terms of pricing."
"They could provide more robust performance for data integration processes. It would help in improving the data quality more efficiently."
"User/group administration could use improvement."
"We haven't had many technical issues. We don't use all of the components of the tool that are more complex and error-prone."
"The user interface of the product needs to be improved"
"The regions in which the data resides are still limited. This could be an issue in terms of the data residency laws of some of the countries. They should get more regions."
"The on-prem version's functionalities may not be available on the cloud version."
"IEDC can improve the comparison of lineages."
 

Pricing and Cost Advice

"For the licensing cost of IBM Infosphere Information Analyzer, I have no information on the exact cost, but as it's bundled with other IBM products such as IBM InfoSphere Information Governance Catalog and IBM InfoSphere DataStage, the bundle is expensive when compared to competitor pricing."
"Informatica MDM's pricetag should come down. They have to cut some costs."
"Informatica is very expensive."
"So, there are plans for licensing. There are subscription-based and usage-based licenses. Also, there are licenses for exceptional analytics, etc. In short, there are different models of licensing for every enterprise."
"I have no idea what the price actually is. It is probably not going to be the cheapest, but it is a pretty stable and robust platform from the backend standpoint."
"The price is comparable."
"The pricing structure is good, but having to pay for extra drivers to be used in an ICS environment makes me a little nervous."
"Licensing is difficult to understand, but the team is always available to explain anything. They are very helpful."
"Informatica MDM's pricing is not cheap but comparable to other vendors."
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Top Industries

By visitors reading reviews
Financial Services Firm
35%
Manufacturing Company
12%
Insurance Company
8%
Computer Software Company
8%
Financial Services Firm
17%
Computer Software Company
13%
Manufacturing Company
10%
Insurance Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What needs improvement with IBM Infosphere Information Analyzer?
They have developed a new product called Watson Catalog, an upgrade from IBM Infosphere Information Analyzer. It is a cloud patch for data. The solution is outdated and is not on cloud. In addition...
What is your primary use case for IBM Infosphere Information Analyzer?
We use all the tools in their suite, and their data quality and governance are great. You can do data profiling and quality analysis with the IBM Infosphere Information Analyzer. You can also sched...
What advice do you have for others considering IBM Infosphere Information Analyzer?
I rate the solution a four out of ten. The solution is useful and can do the job, but there are other new tools in the market today.
How does Azure Data Factory compare with Informatica Cloud Data Integration?
Azure Data Factory is a solid product offering many transformation functions; It has pre-load and post-load transformations, allowing users to apply transformations either in code by using Power Q...
Which Informatica product would you choose - PowerCenter or Cloud Data Integration?
Complex transformations can easily be achieved using PowerCenter, which has all the features and tools to establish a real data governance strategy. Additionally, PowerCenter is able to manage huge...
What are the biggest benefits of using Informatica Cloud Data Integration?
When it comes to cloud data integration, this solution can provide you with multiple benefits, including: Overhead reduction by integrating data on any cloud in various ways Effective integration ...
 

Also Known As

Information Analyzer
ActiveVOS, Active Endpoints, BPM, Address Verification, Persistent Data Masking, Cloud Test Data Management, PIM, , Enterprise Data Catalog, Data Integration Hub, Cloud Data Integration, Data Quality, Cloud API and App Integration
 

Learn More

 

Overview

 

Sample Customers

Integra LifeSciences, Longjiang Bank Corp., Webster University, Swedish Armed Forces, Edith Cowan University, Premier, PRISA Digital, TIAA CREF
The Travel Company, Carbonite
Find out what your peers are saying about IBM Infosphere Information Analyzer vs. Informatica Intelligent Data Management Cloud (IDMC) and other solutions. Updated: October 2024.
816,406 professionals have used our research since 2012.