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IBM InfoSphere Optim vs Informatica Intelligent Data Management Cloud (IDMC) comparison

 

Comparison Buyer's Guide

Executive Summary
 

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 (16th)
Informatica Intelligent Dat...
Average Rating
8.0
Reviews Sentiment
6.9
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) (2nd), Data Masking (2nd), Metadata Management (1st), Test Data Management Services (4th), 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 16.3% mindshare, up 13.7% 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

"I feel the solution to be a bit faster than the traditional methods, which makes it easy to customize."
"We like that we can easily restore the database with just a few clicks. The database is linked as well."
"The solution offers good data governance."
"The features for data quality, data cataloging, and UI are excellent."
"The solution's technical support is pretty good, especially since the turnaround time is good."
"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."
"The data mapping capability is a valuable feature."
"Seeing the data in the mapping itself is really nice."
"The data quality component is very good."
"I like the connectivity and richness of features for the technical team, the maturity of the product, and that it had a cloud version. There is Informatica Cloud, and it is part of the Informatica Cloud platform."
 

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."
"The product isn't mature enough to provide suitable connectors to various data engines."
"It is more complicated to extract data using the product compared to Visio. The system could display the details on the screen."
"Although we are very satisfied with the design of the UI, executing tasks with it can be difficult."
"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."
"Pre-sales technical support is much better than post-sales technical support."
"The tool's performance is an area that should be given further consideration."
"There is room for improvement in the support. The response time could be faster."
"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."
 

Pricing and Cost Advice

"IBM InfoSphere Optim is a very expensive solution. Actually, it's the most expensive archiving solution that we have."
"The product is highly-priced."
"Informatica MDM's pricetag should come down. They have to cut some costs."
"It's pretty high for us. It's more on the higher side, like low to middle high."
"We switched to Informatica PIM because it was cheaper than the Oracle solution. It is cheaper initially, but they will bundle it later. This is what happens in the industry."
"Informatica is very expensive."
"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 saw an ROI. We have been able to get data from various sources and consolidate it into a data lake, which is helping us in data analytics."
"I rate the product's price a seven on a scale of one to ten, where one is the cheapest and ten is the most expensive. The product is a bit expensive."
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Top Industries

By visitors reading reviews
Financial Services Firm
30%
Healthcare Company
8%
Manufacturing Company
7%
Insurance Company
6%
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

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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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