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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
6.8
Number of Reviews
181
Ranking in other categories
Data Integration (3rd), Data Quality (1st), Business Process Management (BPM) (6th), 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 2.5%, up 1.9% compared to last year.
Informatica Intelligent Data Management Cloud (IDMC), on the other hand, focuses on Data Management Platforms (DMP), holds 17.5% mindshare, up 14.0% 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 is easy to create REST-based interfaces of the master data objects."
"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 valuable feature is metadata management. If you want to trace sensitive data, you can auto-classify them. You can search for sensitive information through EDC. Using Discovery, you can identify if there is any type of data set."
"The solution's technical support is pretty good, especially since the turnaround time is good."
"You can extract and transfer your data as you wish it to be consumed later."
"Informatica provides a comprehensive solution for on-the-fly or real-time data masking."
"In the latest version, I like the outlay of the business roles creation. I like seeing that visualization as you're building it, as opposed to going through metatables or XML mappings. We liked that piece, and it makes it more intuitive for the business."
"Informatica MDM has a defined data model we can customize with user and developer options."
 

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."
"This is a costly solution. We have several customers who evaluate it but then look for other solutions because of the cost. At present, Informatica MDM comes as an on-premises or cloud-based solution. I would like to see them offer a SaaS-based MDM model. I think they are working on it."
"It needs to be a little more intuitive but it’s really not bad."
"The pricing model is problematic."
"Though EDC has maximum coverage, a few things were not available to scan, but I think EDC is evolving to address this issue."
"The user interface can be a bit more functionality-aligned."
"Informatica MDM has a complex user interface, which could be improved."
"Connectivity could be improved, it can be a little slow."
"If I want to scan the metadata from the data lineage or the Python code, such areas can get tedious in the tool."
 

Pricing and Cost Advice

"IBM InfoSphere Optim is a very expensive solution. Actually, it's the most expensive archiving solution that we have."
"I rate Informatica MDM's price a six on a scale of one to ten, where one is a low price, and ten is a high price."
"It's offers value for money. They're more competitive with respect to pricing and offerings."
"The price of Informatica Cloud Data Integration could be reduced."
"I have heard from customers that the product comes with a huge license cost."
"Informatica MDM recently changed its pricing model. It's usage-based but I don't have much insight into the current pricing."
"We are quite happy with the licensing model."
"Cost-wise, I think it is on the higher side, and that is why we are looking for some better options. Licensing costs are huge compared to other players in the market and for my company."
"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
29%
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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