IBM Infosphere Information Analyzer vs Oracle Data Quality comparison

IBM and Oracle are both solutions in the Data Quality category. IBM is ranked #7 with an average rating of 10.0, while Oracle is ranked #15. IBM holds a 2.8% mindshare in DQ, compared to Oracle’s 1.6% mindshare. Additionally, 66% of IBM users are willing to recommend the solution, compared to 88% of Oracle users who would recommend it.

IBM Infosphere Information ...

Read 6 IBM Infosphere Information Analyzer reviews

386 Views
164 Comparison Views

66% willing to recommend

Oracle Data Quality

Read 8 Oracle Data Quality reviews

343 Views
147 Comparison Views

88% willing to recommend

IBM Infosphere Information ...

Oracle Data Quality

Comparison Buyer's Guide

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Executive SummaryUpdated on Jan 6, 2025

Oracle Data Quality and IBM Infosphere Information Analyzer are competitors in the data management space, focusing on data quality and analytics. Oracle has the upper hand in scalable performance, while IBM focuses on comprehensive data analysis.

Features: Oracle Data Quality integrates robust features including entity matching, rapid data cleansing, and real-time data profiling. IBM Infosphere Information Analyzer offers detailed data profiles, extensive metadata management, and accessible data quality tools for various user levels.

Room for Improvement: Oracle Data Quality could improve by offering more guided prompts during setup, enhancing metadata management flexibility, and reducing complexity in real-time implementations. IBM Infosphere Information Analyzer can enhance initial configuration ease, streamline data processing workflows, and provide more intuitive user interfaces.

Ease of Deployment and Customer Service: Oracle Data Quality facilitates easy deployment with options for on-premises and cloud solutions, backed by reliable support services. IBM Infosphere Information Analyzer, while requiring complex initial setup, benefits from excellent customer service that eases deployment challenges.

Pricing and ROI: Oracle Data Quality offers a more budget-friendly setup, emphasizing quicker return on investment. IBM Infosphere Information Analyzer involves higher initial costs, justified by its depth in analytics, which can lead to a higher long-term ROI.

To learn more, read our detailed IBM Infosphere Information Analyzer vs. Oracle Data Quality Report (Updated: March 2025).

Buyer's Guide

IBM Infosphere Information Analyzer vs. Oracle Data Quality

March 2025

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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 Information ...

Ranking in Data Quality

7th

Average Rating

7.6

Reviews Sentiment

5.8

Number of Reviews

Ranking in other categories

No ranking in other categories

Oracle Data Quality

Ranking in Data Quality

15th

Average Rating

8.4

Reviews Sentiment

7.9

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of April 2025, in the Data Quality category, the mindshare of IBM Infosphere Information Analyzer is 2.8%, up from 1.7% compared to the previous year. The mindshare of Oracle Data Quality is 1.6%, down 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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Venkatraman Bhat

Deliver Head - Database and Infrastructure Cloud Services at Tech Mahindra Limited

Fast, has good extraction, validation, and transformation features, and provides good support

Though validation is good and fast enough in Oracle Data Quality, an area for improvement is the accuracy of the validation. Though the solution offers multidimensional validation, it needs a bit more improvement in the accuracy aspect because smaller products can offer better accuracy in terms of validation compared to Oracle Data Quality. What I'd like to see from the solution in its next release, is an increase in compliances and regulations that would allow it to cover all industries because multiple verticals demand data quality nowadays, and this improvement will be helpful as Oracle Data Quality is an in-built delivered solution.

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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."

"I have found the most valuable features to be data cleansing and deduplication."

"The features I like most about Oracle Data Quality include extraction, transformation, and validation, which makes it a multipurpose product such as Oracle GoldenGate and Oracle Data Integrator. I also like that Oracle Data Quality is very fast, so you can use it for a large volume of data within a short period. You have to do the validation very quickly, so the solution helps in that area of data quality. Another feature of Oracle Data Quality that I like is the MDM (Master Data Management) where you'll have a single source of protection, and this makes the solution perfect and helpful to my company."

"With Oracle Data Quality, the most valuable feature is entity matching."

"Once it is set up, it is easy to use and maintain."

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."

"Oracle is currently not that intuitive. We need to use programmers to write code for a lot of the procedures. We need to have them write CL SQL code and write a CL script."

"Though validation is good and fast enough in Oracle Data Quality, an area for improvement is the accuracy of the validation. Though the solution offers multidimensional validation, it needs a bit more improvement in the accuracy aspect because smaller products can offer better accuracy in terms of validation compared to Oracle Data Quality. What I'd like to see from the solution in its next release, is an increase in compliances and regulations that would allow it to cover all industries because multiple verticals demand data quality nowadays, and this improvement will be helpful as Oracle Data Quality is an in-built delivered solution."

"If the length of time required for deployment was reduced then it would be very helpful."

"Oracle Data Quality should integrate with data warehousing solutions such as Azure and CWS Office. For example, having the ability to integrate with tools, such as Azure Synapse and SQL data warehousing would be a great benefit."

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 vendor needs to revisit their pricing strategy."

"The price of this solution is comparable to other similar solutions."

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Top Industries

By visitors reading reviews

Financial Services Firm

32%

Computer Software Company

11%

Manufacturing Company

11%

Government

Financial Services Firm

23%

Computer Software Company

11%

Manufacturing Company

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Comparisons

Informatica Cloud Data Quality vs IBM Infosphere Information Analyzer

Compared 38% of the time

Ataccama ONE Platform vs IBM Infosphere Information Analyzer

Compared 35% of the time

SAP Data Services vs IBM Infosphere Information Analyzer

Compared 28% of the time

More IBM Infosphere Information Analyzer Competitors

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

Compared 100% of the time

More Oracle Data Quality Competitors

Product Reports

Buyer's Guide

Data Quality

March 2025

IBM Infosphere Information Analyzer report

Download IBM Infosphere Information Analyzer product report

Buyer's Guide

Data Quality

March 2025

Download Oracle Data Quality product report

Also Known As

Information Analyzer

Datanomic

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.

IBM

Oracle Enterprise Data Quality delivers a complete, best-of-breed approach to party and product data, resulting in trustworthy master data that integrates with applications to improve business insight.

Oracle

Sample Customers

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

Roka Bioscience, Statistics Centre _ Abu Dhabi , Raymond James Financial inc., CaixaBank, Industrial Bank of Korea, Posco, NHS Business Services Authority, RWE Power, LIFE Financial Group,

Buyer's Guide

IBM Infosphere Information Analyzer vs. Oracle Data Quality

March 2025

Free Report: IBM Infosphere Information Analyzer vs. Oracle Data Quality

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