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IBM Infosphere Information Analyzer vs Informatica Intelligent Data Management Cloud (IDMC) comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

IBM Infosphere Information ...
Ranking in Data Quality
10th
Average Rating
7.6
Number of Reviews
6
Ranking in other categories
No ranking in other categories
Informatica Intelligent Dat...
Ranking in Data Quality
1st
Average Rating
8.0
Number of Reviews
181
Ranking in other categories
Data Integration (3rd), Business Process Management (BPM) (7th), 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)
 

Featured Reviews

Tirthankar Roy Chowdhury - PeerSpot reviewer
Aug 3, 2022
Accessible from anywhere and easy to learn even for non-technical users, but needs more connectors and faster issue resolution from technical support
What could be improved or added to IBM Infosphere Information Analyzer is more connectors. This solution comes in a package with IBM InfoSphere DataStage and is missing a lot of connectors to various, new data sources, so IBM needs to work on that area. Compared with competitors such as Informatica and Alation which acquired other small companies to work on the connectors, IBM has not done any testing and has tried to develop the connectors in-house, but that's taking a lot of time. As a result, my company is unable to connect to a lot of data sources, particularly modern data sources.
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

"You can also schedule and run data quality on the critical data elements on the databases."
"What's most useful in IBM Infosphere Information Analyzer is you can access it from anywhere. It's also pretty easy to learn, so even non-technical business people use it and found the solution easy to learn."
"The solution is stable."
"The interface is really good."
"The most valuable features are the structure masking and platform masking."
"Informatica provides a comprehensive solution for on-the-fly or real-time data masking."
"It's helpful in integration, and it can be moved around in SharePoint. So, from the SharePoint View, data integration and reporting, it help a lot in that way."
"The way that the solution scans is very useful."
"We are able to set rules, establish a data quality management platform, and monitor the quality."
"We have a lot of integrations, and it's very easy to create integrations. They have a lot of connectors."
 

Cons

"The solution is outdated and is not on cloud."
"What could be improved or added to IBM Infosphere Information Analyzer is more connectors. This solution comes in a package with IBM InfoSphere DataStage and is missing a lot of connectors to various, new data sources, so IBM needs to work on that area. Compared with competitors such as Informatica and Alation which acquired other small companies to work on the connectors, IBM has not done any testing and has tried to develop the connectors in-house, but that's taking a lot of time. As a result, my company is unable to connect to a lot of data sources, particularly modern data sources."
"Database access is highly restricted particularly if you're using the cloud version."
"They could improve technical support because it is not good enough at the moment."
"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."
"From multiple masters that are there in Informatica MDM, we can improve the financials."
"There are also some technical issues sometimes with integrations because clients have a lot of different types of data sources."
"The UX and UI of the solution are areas with certain shortcomings where improvements can be made in the future."
"Performance also needs to be significantly improved, especially when connecting to SFDC for read and write operations."
"The biggest pain point for us is the documentation. Typically, you have to go through knowledge forums and knowledge groups to find out about the syntax issues for interfacing with new products. Typically, you've got to deal with someone who has been through the pain before. Their documents are not really up to date with current innovations happening in the industry. As big as they are, you can't really expect it, but that's our pain point."
 

Pricing and Cost Advice

"For the licensing cost of IBM Infosphere Information Analyzer, I have no information on the exact cost, but as it's bundled with other IBM products such as IBM InfoSphere Information Governance Catalog and IBM InfoSphere DataStage, the bundle is expensive when compared to competitor pricing."
"It's a very expensive solution"
"The pricing structure is good, but having to pay for extra drivers to be used in an ICS environment makes me a little nervous."
"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."
"So, there are plans for licensing. There are subscription-based and usage-based licenses. Also, there are licenses for exceptional analytics, etc. In short, there are different models of licensing for every enterprise."
"The price is very high and has become a big concern for our customers who require the solution in order for their business to function smoothly."
"We are quite happy with the licensing model."
"It's an expensive solution."
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Top Industries

By visitors reading reviews
Financial Services Firm
33%
Manufacturing Company
11%
Insurance Company
9%
Computer Software Company
8%
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

What needs improvement with IBM Infosphere Information Analyzer?
They have developed a new product called Watson Catalog, an upgrade from IBM Infosphere Information Analyzer. It is a cloud patch for data. The solution is outdated and is not on cloud. In addition...
What is your primary use case for IBM Infosphere Information Analyzer?
We use all the tools in their suite, and their data quality and governance are great. You can do data profiling and quality analysis with the IBM Infosphere Information Analyzer. You can also sched...
What advice do you have for others considering IBM Infosphere Information Analyzer?
I rate the solution a four out of ten. The solution is useful and can do the job, but there are other new tools in the market today.
How does Azure Data Factory compare with Informatica Cloud Data Integration?
Azure Data Factory is a solid product offering many transformation functions; It has pre-load and post-load transformations, allowing users to apply transformations either in code by using Power Q...
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

Information Analyzer
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

Integra LifeSciences, Longjiang Bank Corp., Webster University, Swedish Armed Forces, Edith Cowan University, Premier, PRISA Digital, TIAA CREF
The Travel Company, Carbonite
Find out what your peers are saying about IBM Infosphere Information Analyzer vs. Informatica Intelligent Data Management Cloud (IDMC) and other solutions. Updated: October 2024.
814,763 professionals have used our research since 2012.