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IBM Infosphere Information Analyzer vs Informatica Cloud Data Quality comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

IBM Infosphere Information ...
Ranking in Data Quality
10th
Average Rating
7.6
Reviews Sentiment
5.7
Number of Reviews
6
Ranking in other categories
No ranking in other categories
Informatica Cloud Data Quality
Ranking in Data Quality
3rd
Average Rating
8.4
Number of Reviews
11
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of November 2024, in the Data Quality category, the mindshare of IBM Infosphere Information Analyzer is 3.4%, up from 2.6% compared to the previous year. The mindshare of Informatica Cloud Data Quality is 2.6%, up from 1.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Quality
 

Featured Reviews

Tirthankar Roy Chowdhury - PeerSpot reviewer
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.
TaherDungrawala - PeerSpot reviewer
Has good reusability and CDI features
I use Collibra Data Quality. I switched to Informatica because Collibra cannot integrate. Colibra Cloud Data Quality is a very basic tool. There is no integration capability. If you have problem records, there is no fix to remediate them using the same tool. With Informatica, you can integrate with CDI and then create a remediation plan.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"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."
"You can also schedule and run data quality on the critical data elements on the databases."
"Stability-wise, I rate the solution a ten out of ten."
"Initial setup was fairly easy."
"An advantage is its seamless integration with other Informatica capabilities, making data quality a deeply embedded part of the solution."
"We primarily used Cloud Data Profiling to connect with Cloud Data Governance, a tool also used by Teva. This integration allowed users to access data quality results within the data governance catalog."
"Server maintenance, server hosting, backup, restoration, and DB capabilities are not needed in the cloud."
"The user-friendliness and performance of Informatica is quite impressive."
"The most valuable feature is the rule specification."
"One of the most valuable features of Informatica Cloud Data Quality is Master Data Management. You can write code to build your logic rules to check the quality."
 

Cons

"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."
"The solution is outdated and is not on cloud."
"Support response time could be better."
"The integration with older technology and cloud quality needs improvement."
"The high price of the product is an area of concern where improvements are required."
"In the on-premises version, features like web service consumer and web service provider are available, but these functionalities are currently unavailable in the cloud edition."
"You cannot import the data discovery rules you create in the solution to the Cloud Data Governance and Catalog (CDGC)."
"I used to use this tool more but recently we have been using another tool that we feel is better because it handles spatial data. Informatica Cloud Data Quality could improve by adding the ability to handle spatial data."
"Logical views are a little bit behind in comparison to the on-premise version."
"Informatica Cloud Data Quality could improve by adding more algorithms for matching and mastering. We currently only have five or six. Additionally, the parallelism in data is better in other solutions, such as IBM."
 

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."
"The licensing costs attached to the solution are pretty high, but then, with the cloud model, the prices depend on what it provides for the value of money, which I feel was very high."
"Informatica Cloud Data Quality is a costly solution."
"We pay for a yearly subscription."
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Top Industries

By visitors reading reviews
Financial Services Firm
35%
Manufacturing Company
12%
Insurance Company
8%
Computer Software Company
8%
Financial Services Firm
17%
Manufacturing Company
10%
Computer Software Company
8%
Logistics Company
7%
 

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.
What do you like most about Informatica Cloud Data Quality?
The profiling features are much better than the on-premise version.
What needs improvement with Informatica Cloud Data Quality?
Accessing data as a service is essential, especially for validations requiring external data services. This goes beyond basic syntactic checks, like ensuring an email address contains the @ symbol ...
What is your primary use case for Informatica Cloud Data Quality?
We use the solution to validate emails, telephone numbers, and postal codes. It can also create some data quality rules using the Cloud app's data quality function.
 

Also Known As

Information Analyzer
Cloud Data Quality Radar
 

Learn More

 

Overview

 

Sample Customers

Integra LifeSciences, Longjiang Bank Corp., Webster University, Swedish Armed Forces, Edith Cowan University, Premier, PRISA Digital, TIAA CREF
Freddie Mac, Rabobank
Find out what your peers are saying about IBM Infosphere Information Analyzer vs. Informatica Cloud Data Quality and other solutions. Updated: October 2024.
816,406 professionals have used our research since 2012.