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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
Number of Reviews
3
Ranking in other categories
Database Development and Management (16th)
Informatica Intelligent Dat...
Average Rating
8.0
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 (8th), 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 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
Jun 14, 2023
Very supportive of Db2 and easy to customize, but IMS features are not user friendly and the support of these features is lacking
We use the solution for refreshing the data, one of the two types being a bulk refresh, which is an exact replica of what there is in production. We subset the data based on business needs, not on theta production volume. We also use the solution to mask specific PA data, such as the SSN's address…
Raj Sethupathi - PeerSpot reviewer
Jun 13, 2024
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."
"Informatica provides a comprehensive solution for on-the-fly or real-time data masking."
"The product is scalable and excellent for enterprise-level organizations."
"The Mapping Designer allows for declarative ETL development (visual scripting) that leverages a wide array of different transformations."
"REST API: Excellent for scripting control and reporting mechanisms"
"The most valuable features are data quality, data integrate transformations, match-merge, and a few MDM solutions we build into data quality transformation."
"The solution scales well."
"The user interface is flexible and the visibility of the data flow is amazing."
"The mass ingestion functionality and the elasticity of the solution are great."
 

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."
"Cost-wise, it could be better."
"The configurations could be better. It is a bit confusing because we must develop two tools when building a data model in Informatica MDM. Even though Informatica MDM is a single tool, we have our hub console plus the provisioning tool within that. Whatever data model we are building in the hub console, we have to develop it in the provisioning tool again. It is double the work to create a data model. We are also using external calls or the Java custom plans functions. This can be both positive and negative. Since MDM as a client does not support any complex validation, we have to depend on the external call or a Java call. Every time we deployed, the entire solution was impacted if something went wrong."
"The solution is quite expensive."
"There's certainly room for improvement. One crucial area is generating detailed reports on file statuses. Presently, this is represented visually, often as graphs or charts. Such reporting could offer comprehensive insights into the areas that demand attention and further scrutiny."
"They could provide more robust performance for data integration processes. It would help in improving the data quality more efficiently."
"Its features for partitioning and optimization could be better."
"The configuration process is pretty lengthy and challenging and could be made easier to understand."
"I would like to see better visuals for business users, such as a dashboard where they can precisely track where problems are."
 

Pricing and Cost Advice

"IBM InfoSphere Optim is a very expensive solution. Actually, it's the most expensive archiving solution that we have."
"Informatica is very expensive."
"It is cost effective and an easily accessible tool."
"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."
"On a scale from one to ten, where one is cheap and ten is expensive, I rate the solution's pricing nine and a half out of ten."
"The price of Informatica Cloud Data Integration could be reduced."
"Its pricing model can be improved."
"It is an expensive solution. I would say it is the most expensive solution in the market."
"Comparatively, their prices are a little bit too high."
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Top Industries

By visitors reading reviews
Financial Services Firm
32%
Insurance Company
9%
Healthcare Company
7%
Computer Software Company
7%
Financial Services Firm
17%
Computer Software Company
13%
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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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, 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
Find out what your peers are saying about Oracle, SolarWinds, Quest Software and others in Database Development and Management. Updated: October 2024.
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