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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
6.8
Reviews Sentiment
6.1
Number of Reviews
4
Ranking in other categories
Database Development and Management (15th)
Informatica Intelligent Dat...
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
214
Ranking in other categories
Data Integration (2nd), Data Quality (1st), Business Process Management (BPM) (5th), Business-to-Business Middleware (2nd), API Management (6th), Cloud Data Integration (3rd), Data Governance (3rd), Test Data Management (3rd), Cloud Master Data Management (MDM) (1st), Data Management Platforms (DMP) (2nd), Data Masking (2nd), Metadata Management (2nd), Integration Platform as a Service (iPaaS) (4th), Test Data Management Services (3rd), Product Information Management (PIM) (1st), Data Observability (2nd), AI Data Analysis (1st)
 

Featured Reviews

Kenneth Estanislao - PeerSpot reviewer
Solutions Designer at a insurance company with 10,001+ employees
Backups become efficient while cost concerns remain
I am still working with IBM and we are transitioning to other tools rather than using IBM InfoSphere Optim. We use other tools, but I cannot recall the name because I am not the one currently handling it. It has transitioned to other architects. For IBM InfoSphere Optim, we are still currently using it, but we have transitioned to the newer version, the latest one with support for AWS S3. I cannot identify a main competitor for IBM InfoSphere Optim because we have transitioned to other architects, and they are the ones looking for other tools. The last comparison I did was almost 4 years ago. I am not using any AI technology with IBM InfoSphere Optim. I rate IBM InfoSphere Optim a seven out of ten. The tool is good, but the price is not favorable as it is the most expensive part. I can recommend IBM InfoSphere Optim for enterprises.
Divya-Raj - PeerSpot reviewer
Sr. Consultant cum Assistant Manager & Offshore Lead at Deloitte
Handles large data volumes effectively and offers competitive pricing
There is a lot of improvement required, as we still face some cache issues most of the time, which is a challenge that we expect to see resolved in the future. Additionally, there is some limitation when we are working with a tool, especially regarding In and Out parameters, and I feel that this aspect should be improved going ahead. We face issues with the API side, as Cloud Application Integration cannot handle large volumes; according to the API page, there is a limitation of 500 records or 500 MB. The AI integrated into the Informatica Intelligent Cloud Services solution is called Application Integration, where we still face challenges when dealing with huge volumes, as previously explained.

Quotes from Members

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

Pros

"The compression feature is valuable because it achieves around 80% compression."
"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."
"What I like best about Informatica MDM is its structured, table-based approach. Unlike Reltio, where data is only visible through the UI and cloud-based, the solution allows access to normalized tables. This means I can directly query and see data in each table. For instance, I can easily get all customer details from the customer table. However, for more complex queries, like seeing all customer interactions with the organization, some SQL knowledge is needed to join different tables and retrieve the details."
"The most valuable feature is data discovery. This is the most exciting feature for all of the banks."
"​The tool manually checks on applying business rules and helps to implement them."
"The solution offers good data governance."
"The profiling features are much better than the on-premise version."
"The product is scalable and excellent for enterprise-level organizations."
"The most valuable feature of Informatica Intelligent Cloud Services for me is the availability of connectors."
"I recommend Informatica because anyone with a bit of knowledge, even a beginner or intern, can explore, learn, and accomplish development tasks without much difficulty."
 

Cons

"While the solution is very supportive of Db2, it is not so friendly when it comes to IMS databases."
"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."
"The potential room for improvement for IBM InfoSphere Optim is usually its cost, as it is too expensive."
"I have received feedback from certain teams and there is a steep learning curve to use this solution."
"Improving the UI to be more business user-friendly would also be beneficial."
"There is room for improvement in the support. The response time could be faster."
"We'd like to see the microservices, which don't run yet because the solution is not yet fully cloud-based."
"They need more feature flexibility, as it is not fully developed."
"Connectivity could be improved, it can be a little slow."
"It would be great if the cloud version could match the full range of capabilities available on-premise."
"I think everything related to the APIs and the manageability of the APIs in Informatica MDM are areas where improvements are required."
 

Pricing and Cost Advice

"IBM InfoSphere Optim is a very expensive solution. Actually, it's the most expensive archiving solution that we have."
"The solution is expensive."
"Comparatively, their prices are a little bit too high."
"Informatica MDM recently changed its pricing model. It's usage-based but I don't have much insight into the current pricing."
"The platform has a premium cost. I rate the pricing as seven out of ten."
"Our customers sometimes are able to negotiate a much better price for Informatica Cloud Data Integration based on their relationship with the vendor."
"Informatica Cloud Data Integration is famously known for its high price. The vendor targets large enterprises, and not medium or small companies. These large companies, and organizations, handle large amounts of data. If you go into any large bank, such as American or Canadian banks, these banks use this solution because it is more reliable, secure, and has more functionality."
"The product has a high price point."
"It is cost effective and an easily accessible tool."
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Top Industries

By visitors reading reviews
Financial Services Firm
20%
Insurance Company
9%
Retailer
8%
Outsourcing Company
7%
Financial Services Firm
14%
Manufacturing Company
11%
Computer Software Company
7%
Retailer
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business51
Midsize Enterprise27
Large Enterprise153
 

Questions from the Community

What needs improvement with IBM InfoSphere Optim?
The potential room for improvement for IBM InfoSphere Optim is usually its cost, as it is too expensive. Currently, there are no issues with IBM InfoSphere Optim; the only problem is the cost, whic...
What is your primary use case for IBM InfoSphere Optim?
My current use case for IBM InfoSphere Optim is just for doing backups. We are using IBM InfoSphere Optim specifically for backup purposes.
What advice do you have for others considering IBM InfoSphere Optim?
I am still working with IBM and we are transitioning to other tools rather than using IBM InfoSphere Optim. We use other tools, but I cannot recall the name because I am not the one currently handl...
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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

IBM Optim, Optim
ActiveVOS, Active Endpoints, Address Verification, Persistent Data Masking
 

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
Find out what your peers are saying about Amazon Web Services (AWS), Informatica, Salesforce and others in Cloud Data Integration. Updated: February 2026.
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