IBM Infosphere Information Analyzer vs Informatica Cloud Data Quality comparison

IBM and Informatica are both solutions in the Data Quality category. IBM is ranked #10 with an average rating of 7.0, while Informatica is ranked #3 with an average rating of 8.3. IBM holds a 3.3% mindshare in DQ, compared to Informatica’s 3.0% mindshare. Additionally, 66% of IBM users are willing to recommend the solution, compared to 90% of Informatica users who would recommend it.

IBM Infosphere Information ...

Read 6 IBM Infosphere Information Analyzer reviews

469 Views
196 Comparison Views

66% willing to recommend

Informatica Cloud Data Quality

Read 11 Informatica Cloud Data Quality reviews

1,287 Views
897 Comparison Views

90% willing to recommend

IBM Infosphere Information ...

Informatica Cloud Data Quality

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between IBM Infosphere Information Analyzer and Informatica Cloud Data Quality based on real PeerSpot user reviews.

Find out in this report how the two Data Quality solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed IBM Infosphere Information Analyzer vs. Informatica Cloud Data Quality Report (Updated: December 2024).

Buyer's Guide

IBM Infosphere Information Analyzer vs. Informatica Cloud Data Quality

December 2024

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Categories and Ranking

IBM Infosphere Information ...

Ranking in Data Quality

10th

Average Rating

7.6

Reviews Sentiment

5.7

Number of Reviews

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

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of December 2024, in the Data Quality category, the mindshare of IBM Infosphere Information Analyzer is 3.3%, up from 2.5% compared to the previous year. The mindshare of Informatica Cloud Data Quality is 3.0%, up from 2.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Quality

Featured Reviews

Tirthankar Roy Chowdhury

Teamlead at Tata consultancy services

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.

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TaherDungrawala

Data & Analytics Practice at Tech Mahindra Limited

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.

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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."

"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."

"The most beneficial feature of Informatica Cloud Data Quality is it's cloud-based."

"Stability-wise, I rate the solution a ten out of ten."

"The most valuable feature is the rule specification."

"The profiling features are much better than the on-premise version."

"Server maintenance, server hosting, backup, restoration, and DB capabilities are not needed in the cloud."

"The reusability factors are nice. The Cloud Data Quality is much better. A major flaw in the previous version was integration with the catalog, which is now seamless."

More Informatica Cloud Data Quality pros

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."

"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."

"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."

"Some capabilities from the cloud version are not included in the on-premises 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."

"The high price of the product is an area of concern where improvements are required."

"You cannot import the data discovery rules you create in the solution to the Cloud Data Governance and Catalog (CDGC)."

"Support response time could be better."

"Logical views are a little bit behind in comparison to the on-premise version."

More Informatica Cloud Data Quality cons

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."

"We pay for a yearly subscription."

"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."

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824,053 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

32%

Manufacturing Company

14%

Insurance Company

Computer Software Company

Financial Services Firm

16%

Manufacturing Company

10%

Computer Software Company

Logistics Company

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...

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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...

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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.

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What do you like most about Informatica Cloud Data Quality?

The profiling features are much better than the on-premise version.

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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 ...

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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.

See all answers

Comparisons

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

Compared 38% of the time

Ataccama ONE Platform vs IBM Infosphere Information Analyzer

Compared 30% of the time

More IBM Infosphere Information Analyzer Competitors

Informatica Intelligent Data Management Cloud (IDMC) vs Informatica Cloud Data Quality

Compared 89% of the time

Ataccama ONE Platform vs Informatica Cloud Data Quality

Compared 6% of the time

More Informatica Cloud Data Quality Competitors

Product Reports

Buyer's Guide

Data Quality

November 2024

IBM Infosphere Information Analyzer report

Download IBM Infosphere Information Analyzer product report

Buyer's Guide

Data Quality

November 2024

Download Informatica Cloud Data Quality product report

Also Known As

Information Analyzer

Cloud Data Quality Radar

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IBM

Informatica

Overview

IBM Information Analyzer provides data quality assessment, data quality monitoring and data rule design and analysis capabilities. This software helps you derive more meaning from your enterprise data, reduces the risk of proliferating incorrect information, facilitates the delivery of trusted content, and helps to lower data integration costs.

Informatica Cloud Data Quality Radar is a cloud application that quickly identifies, fixes, and monitors data quality problems in your business applications—wherever they are, in the cloud or on-premise.

This easy-to-use, browser-based tool empowers line-of-business managers to take ownership of the data quality process so business can maximize the return on trusted data. Informatica Cloud Data Quality Radar enables you to quickly assess the strengths and weaknesses in your data, to track improvements in the data over time, and to calculate data quality scores for objects and field entities with the flexibility to filter and drill down on specific records for better detection of problems.

Sample Customers

Integra LifeSciences, Longjiang Bank Corp., Webster University, Swedish Armed Forces, Edith Cowan University, Premier, PRISA Digital, TIAA CREF

Freddie Mac, Rabobank

Buyer's Guide

IBM Infosphere Information Analyzer vs. Informatica Cloud Data Quality

December 2024

Free Report: IBM Infosphere Information Analyzer vs. Informatica Cloud Data Quality

Find out what your peers are saying about IBM Infosphere Information Analyzer vs. Informatica Cloud Data Quality and other solutions. Updated: December 2024.

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