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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 (14th)
Informatica Intelligent Dat...
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
214
Ranking in other categories
Data Integration (1st), Data Quality (1st), Business Process Management (BPM) (8th), Business-to-Business Middleware (2nd), API Management (5th), Cloud Data Integration (2nd), 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 (1st), 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."
"We like that we can easily restore the database with just a few clicks."
"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."
"Informatica Data Quality is a product that is worth the money."
"The user interface which is very easy to use if we have any problems to solve."
"The solution allows the complete governance process, starting from the data quality, those definitions, and it can get the data quality in the EDC."
"I was responsible for installing Informatica Cloud Data Quality on Google infrastructure, which was straightforward."
"One of the most valuable features of Informatica Cloud Data Quality is Master Data Management, and you can write code to build your logic rules to check the quality."
"Informatica Cloud Data Quality was most valuable for our real-time data quality monitoring needs."
"The data quality component is very good."
"The most beneficial feature of Informatica Cloud Data Quality is it's cloud-based."
 

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."
"While masking PII information in huge tables [more than 500 million record count with more than five PII columns present] the Extract-Convert-Load [ECL] process becomes extremely slow and can take a huge amount of time."
"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."
"There is room for improvement at the highest level in terms of useability and connectors for various types of new applications. The row processing performance could be better because you experience some latency dealing with high volumes of data. Most organizations will be dealing with multiple cloud applications, so you could see performance issues moving from one system to another."
"Some functionalities can be a challenge in the cloud."
"The tools required to migrate existing mappings and server rules through cloud data quality are not available."
"One area that could use improvement is the speed of the web interfaces. At present, they are very slow. I think it is essential that we are original and robust on-premises."
"I can't say the user interface is useless, but people don't use it because they find it cumbersome."
"I would like to see better visuals for business users, such as a dashboard where they can precisely track where problems are."
"There are a small number of UI bugs that occur on occasion."
"There are also some technical issues sometimes with integrations because clients have a lot of different types of data sources."
 

Pricing and Cost Advice

"IBM InfoSphere Optim is a very expensive solution. Actually, it's the most expensive archiving solution that we have."
"Informatica Cloud Data Quality is a costly solution."
"It's a costly solution"
"The pricing is quite flexible."
"I rate the product's pricing a five on a scale of one to ten, where one is cheap and ten is expensive."
"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's pricing is not cheap but comparable to other vendors."
"Its pricing model can be improved."
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Top Industries

By visitors reading reviews
Financial Services Firm
20%
Construction Company
7%
Retailer
7%
Insurance Company
7%
Financial Services Firm
13%
Manufacturing Company
10%
Retailer
7%
Computer Software Company
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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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
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