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IBM InfoSphere Optim vs Informatica Intelligent Data Management Cloud (IDMC) 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 InfoSphere Optim
Average Rating
6.6
Reviews Sentiment
5.6
Number of Reviews
3
Ranking in other categories
Database Development and Management (15th)
Informatica Intelligent Dat...
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
181
Ranking in other categories
Data Integration (3rd), Data Quality (1st), 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) (1st), Data Masking (2nd), Metadata Management (1st), Test Data Management Services (2nd), Product Information Management (PIM) (1st), Data Observability (2nd)
 

Mindshare comparison

While both are Database Development and Management Tools solutions, they serve different purposes. IBM InfoSphere Optim is designed for Database Development and Management and holds a mindshare of 2.6%, up 1.9% compared to last year.
Informatica Intelligent Data Management Cloud (IDMC), on the other hand, focuses on Data Management Platforms (DMP), holds 16.5% mindshare, up 14.1% since last year.
Database Development and Management
Data Management Platforms (DMP)
 

Featured Reviews

Ajai Lal - PeerSpot reviewer
Very supportive of Db2 and easy to customize, but IMS features are not user friendly and the support of these features is lacking
We work on two different types of databases, one being IMS and the other Db2. While the solution is very supportive of Db2, it is not so friendly when it comes to IMS databases. When we had questions for the support team conerning the IMS database, we found their knowledge to be lacking, likely owing to lack of experience on their part. I would not say that the initial setup is complex. Neither would I say that it is straightforward. Certain features require technical knowledge.
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

"We like that we can easily restore the database with just a few clicks. The database is linked as well."
"I feel the solution to be a bit faster than the traditional methods, which makes it easy to customize."
"It comes with lot of features and is a one-stop-shop solution for integration, data modeling, and data governance. Everything can be built under one particular umbrella. If any issues come up, then there won't be any blame game saying that it could be an integration issue or an MDM hub issue because it's wholly owned by Informatica. That's the biggest advantage of Informatica MDM over that of any other tools that are available on the market."
"This is where I think MDM shines - with its strong fuzzy matching algorithm. This is the essence of Informatica MDM. Based on these results, I can write our match conditions and then perform the corresponding data management activities."
"The Mapping Configuration and PowerCenter wizards are valuable. We use them to run our business logic."
"It has been leading the market with hierarchy management and all the different match concepts and algorithms. They're very robust."
"I do a quite a lot of data transformations, and the fact that I can do them without changing any of my SQL queries from the code, using the inbuilt tools, is very helpful."
"We are able to set rules, establish a data quality management platform, and monitor the quality."
"It's a stable product without any bugs or glitches."
"It is a scalable solution. Scalability-wise, I rate the solution a nine out of ten."
 

Cons

"We're looking for a solution that can be implemented on AWS. IBM InfoSphere Optim can be implemented on AWS, but it costs more than double what we're currently paying. So, it's not really of good value for us."
"While the solution is very supportive of Db2, it is not so friendly when it comes to IMS databases."
"Database access is highly restricted particularly if you're using the cloud version."
"Informatica should simplify the rules for setting classifications and user access management permissions. It's too complex to define, configure, and make work."
"The on-prem version's functionalities may not be available on the cloud version."
"There's certainly room for improvement. One crucial area is generating detailed reports on file statuses. Presently, this is represented visually, often as graphs or charts. Such reporting could offer comprehensive insights into the areas that demand attention and further scrutiny."
"When it comes to UI look and feel and user experience, Informatica is not as good as other solutions."
"The only thing that I can imagine that might be improved is how the available transactions verify addresses used. These transactions have a valid end date and must be used within the agreed timeframe."
"Inserting the GenAI into the master data management will reduce the overall effort of operational activities."
"I would like to see more API integration to have the capability to build a report using other third party reporting tools to streamline the operation."
 

Pricing and Cost Advice

"IBM InfoSphere Optim is a very expensive solution. Actually, it's the most expensive archiving solution that we have."
"On a scale from one to ten, where one is cheap and ten is expensive, I rate the solution's pricing nine and a half out of ten."
"Pricing is determined by the number of licensed users as well as the number of Core CPUs."
"The solution is very expensive."
"We are quite happy with the licensing model."
"It's a costly solution"
"You can purchase licenses for this solution at different intervals. For example, annually or every three years. They recently changed their terms for licensing and now it is more flexible."
"A yearly subscription is paid based on the number of people using the solution. Price-wise, it falls under the medium range since it is neither very costly nor too cheap."
"We have licenses, and we are provided with certain particular services in the solution."
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Top Industries

By visitors reading reviews
Financial Services Firm
30%
Healthcare Company
8%
Insurance Company
7%
Manufacturing Company
7%
Financial Services Firm
17%
Computer Software Company
12%
Manufacturing Company
10%
Government
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

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Also Known As

IBM Optim, Optim
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

Durham Police Department, Coca-Cola Enterprises Inc., Continental, KCE Electronics Public Company Limited, The University of Adelaide, Migros Zurich, COPROB
The Travel Company, Carbonite
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