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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 (16th)
Informatica Intelligent Dat...
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
185
Ranking in other categories
Data Integration (3rd), Data Quality (1st), Business Process Management (BPM) (10th), Business-to-Business Middleware (5th), 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 (3rd), 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 2.2% compared to last year.
Informatica Intelligent Data Management Cloud (IDMC), on the other hand, focuses on Data Management Platforms (DMP), holds 15.0% mindshare, up 14.0% since last year.
Database Development and Management
Data Management Platforms (DMP)
 

Featured Reviews

Kenneth Estanislao - PeerSpot reviewer
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.
Saikat Ghosh - PeerSpot reviewer
Match and merge functionality is still the best but cloud version needs more functionality
There are various areas for improvement in IDMC. Enhancements on basic data management functionality and the UI front, such as multiple templates and improved grid views, would be beneficial. Bulk data management features could be improved from the UI perspective to get to the level of the on prem versions of Informatica MDM. The tool needs to mature but missing small but important features, like restricted dynamic attributes functionality, data inheritance rules in master hierachies, identifiers not being passed in jobs is a drawback.

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 compression feature is valuable because it achieves around 80% compression."
"New tools are coming out that will enable you to achieve 90 percent of use cases with the out-of-the-box configuration, but I would like to keep Informatica tight here. Otherwise, you need a Java user edit course and other things to do multiple things that you cannot configure out of the box. They have to go through those use cases to do something if those can also be configured rather than coded."
"It allows the creation of identical tasks that can be applied across multiple tables, ranging from 100 to even 1,000 tables."
"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 ability to aggregate and put together data from around fifty sources into one environment allows us to have a preview of everything in a single place, which is something we did not have previously in our company."
"The most valuable features are the structure masking and platform masking."
"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."
"MDM doesn't require a separate IDQ."
"MDM is very stable - it can handle millions of hits daily and still run 24/7."
 

Cons

"The potential room for improvement for IBM InfoSphere Optim is usually its cost, as it is too expensive."
"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 current features are a bit complicated, and we need to write big scripts and test."
"Informatica Axon's response times and certain aspects of the admin panel could be enhanced for better usability."
"Informatica Axon needs more integration connectors so that it can connect to systems and different kinds of datasets."
"I would like to see more functionality added so that it is a bit closer to how much you can do with Informatica PowerCenter."
"Connectivity could be improved, it can be a little slow."
"IEDC can improve the comparison of lineages."
"I need to have some insight into the tool's cloud capabilities."
"The UI is terrible and not user-friendly."
 

Pricing and Cost Advice

"IBM InfoSphere Optim is a very expensive solution. Actually, it's the most expensive archiving solution that we have."
"It's pretty high for us. It's more on the higher side, like low to middle high."
"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."
"The product is very expensive"
"Informatica MDM is very expensive. Apart from licensing fees, they have broken down their products into multiple products, and they charge for each and every product. If the data is huge, they charge for the data. At times, we have to use third party services for data cleaning, and they charge for that as well."
"I have heard from customers that the product comes with a huge license cost."
"The price is high, but the competitors are even higher, like Collibra."
"Informatica Axon is expensive."
"It's a costly solution"
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Top Industries

By visitors reading reviews
Financial Services Firm
27%
Insurance Company
8%
Computer Software Company
6%
Government
6%
Financial Services Firm
17%
Computer Software Company
12%
Manufacturing Company
9%
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 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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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
 

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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