IBM Infosphere Information Analyzer vs Melissa Data Quality comparison

IBM and Melissa are both solutions in the Data Quality category. IBM is ranked #7 with an average rating of 10.0, while Melissa is ranked #8 with an average rating of 9.0. IBM holds a 2.6% mindshare in DQ, compared to Melissa’s 3.2% mindshare. Additionally, 66% of IBM users are willing to recommend the solution, compared to 95% of Melissa users who would recommend it.

IBM Infosphere Information ...

Read 6 IBM Infosphere Information Analyzer reviews

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362 Comparison Views

66% willing to recommend

Melissa Data Quality

Read 40 Melissa Data Quality reviews

653 Views
372 Comparison Views

95% willing to recommend

IBM Infosphere Information ...

Melissa Data Quality

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Executive SummaryUpdated on Jan 6, 2025

IBM Infosphere Information Analyzer and Melissa Data Quality are competing in the data quality management sector. Melissa Data Quality appears to have the upper hand due to its user-centric features and flexible integration.

Features: IBM Infosphere offers advanced data profiling, comprehensive analysis tools, and deep analytical capabilities. Melissa provides user-friendly data validation, cost-effective cleansing, and seamless integration with SSIS.

Room for Improvement: IBM Infosphere could benefit from an easier deployment process, more responsive support, and better cost-effectiveness. Melissa could enhance its analytical depth, offer more complex profiling features, and improve its integration with non-Microsoft environments.

Ease of Deployment and Customer Service: IBM Infosphere requires significant IT involvement for complex deployments, whereas Melissa enables a streamlined setup with limited technical resources. Melissa also offers more responsive customer service.

Pricing and ROI: IBM Infosphere has higher initial costs with potentially longer ROI timelines. Melissa offers competitive pricing and faster ROI, aided by quick deployment and user-friendly features.

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

Buyer's Guide

IBM Infosphere Information Analyzer vs. Melissa Data Quality

July 2025

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Helped 865,484 peers since 2012

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

Melissa Data Quality

Ranking in Data Quality

8th

Average Rating

8.4

Reviews Sentiment

7.6

Number of Reviews

Ranking in other categories

Data Scrubbing Software (4th)

Mindshare comparison

As of August 2025, in the Data Quality category, the mindshare of IBM Infosphere Information Analyzer is 2.6%, up from 1.8% compared to the previous year. The mindshare of Melissa Data Quality is 3.2%, up from 2.4% 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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GaryM

Data Architect at World Vision

SSIS MatchUp Component is Amazing

- Scalability is a limitation as it is single threaded. You can bypass this limitation by partitioning your data (say by alphabetic ranges) into multiple dataflows but even within a single dataflow the tool starts to really bog down if you are doing survivorship on a lot of columns. It's just very old technology written that's starting to show its age since it's been fundamentally the same for many years. To stay relavent they will need to replace it with either ADF or SSIS-IR compliant version. - Licensing could be greatly simplified. As soon as a license expires (which is specific to each server) the product stops functioning without prior notice and requires a new license by contacting the vendor. And updating the license is overly complicated. - The tool needs to provide resizable forms/windows like all other SSIS windows. Vendor claims its an SSIS limitation but that isn't true since pretty much all SSIS components are resizable except theirs! This is just an annoyance but needless impact on productivity when developing new data flows. - The tool needs to provide for incremental matching using the MatchUp for SSIS tool (they provide this for other solutions such as standalone tool and MatchUp web service). We had to code our own incremental logic to work around this. - Tool needs ability to sort mapped columns in the GUI when using advanced survivorship (only allowed when not using column-level survivorship). - It should provide an option for a procedural language (such as C# or VB) for survivor-ship expressions rather than relying on SSIS expression language. - It should provide a more sophisticated ability to concatenate groups of data fields into common blocks of data for advanced survivor-ship prioritization (we do most of this in SQL prior to feeding the data to the tool). - It should provide the ability to only do survivor-ship with no matching (matching is currently required when running data through the tool). - Tool should provide a component similar to BDD to enable the ability to split into multiple thread matches based on data partitions for matching and survivor-ship rather than requiring custom coding a parallel capable solution. We broke down customer data by first letter of last name into ranges of last names so we could run parallel data flows. - Documentation needs to be provided that is specific to MatchUp for SSIS. Most of their wiki pages were written for the web service API MatchUp Object rather than the SSIS component. - They need to update their wiki site documentation as much of it is not kept current. Its also very very basic offering very little in terms of guidelines. For example, the tool is single-threaded so getting great performance requires running multiple parallel data flows or BDD in a data flow which you can figure out on your own but many SSIS practitioners aren't familiar with those techniques. - The tool can hang or crash on rare occasions for unknown reason. Restarting the package resolves the problem. I suspect they have something to do with running on VM (vendor doesn't recommend running on VM) but have no evidence to support it. When it crashes it creates dump file with just vague message saying the executable stopped running.

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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

"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."

"It gives me an assessed value of the property in question. My partner and I are property investors, and it's good to get an assessed value to cull out properties that we're not interested in."

"We use their GeoPoints to get the most precise, rooftop level geocoding."

"Ability to keep our data set clean and usable for our community searches."

"We have only been using this for about two months, but it has sped up our processing significantly. It makes data mining easy and fast. We don't have to spend an entire month gathering correct information on leads. All we need is a list of home addresses, and in minutes we have names and phone numbers to increase our chance of these leads becoming customers."

"Getting the most up to date address for our members. We like to keep in touch with membership a few times a year so we want to maintain up to date addresses to be sure they receive any information that we mail to them."

"By validating and parsing the addresses our customers submit to us, we have reduced the number of addressing errors encountered during our processing."

"The high value in this tool is its relatively low cost, ease of use, tight integration with SSIS, superior performance (compared to competitors), and attribute-level advanced survivor-ship logic."

"This tool works better for us than using a batch processing system that we do not have enough control over as each record is being processed."

More Melissa 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."

"Needs to provide more phone numbers, even cell numbers (scrubbed numbers)."

"One of the problems that we ran into this year was we probably spent over 40 hours finding and trying to drill down to where specific bugs were in the program, which was a tremendous waste of time for us. There were a couple of updates to Windows this year, the program kept crashing. It happened on two different occasions over a period of a few months. Once we told them what the problem was - even though their tech support is great to work with - it literally took probably about two months to fix the issue where we could actually use the program the way we needed to use it."

"It would be nice if it also had a user interface, as it did in years past."

"The billing structure does not seem very accurate. We’ve had issues with miscounted batch records processed"

"Speed of delivery/ease of use. They advertise a 24-hour, next business day turn time on data annotation, but I’ve found it is usually closer to 72 hours. This is still excellent, just make sure you add in the appropriate fluff to your delivery timelines."

"An area for improvement is where an end customer's address is not found in the Melissa Data database, even though it is a valid address."

"Tech support at Melissa Data was very quick to wash their hands of an issue and say it's IT policies on my side that are causing the issue. There was no offer to try and find a work-around. Just an overwhelming attitude of "it’s not our problem.""

"The tool needs to provide resizable forms/windows like all other SSIS windows. Vendor claims its an SSIS limitation however all SSIS components are resizable so that isn't true. This is just an annoyance but needless."

More Melissa 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."

"They were willing to work with our preferred vendors, though it involved extra steps to get the license."

"We are concerned that our own pricing is going up every year for Melissa Data products, but we highly recommend the services for people who are routinely sending out mailings."

"Cloud version is very cheap. On-premise version is expensive."

"Depends on situation. We prefer to have data onsite, but some might prefer web access."

"Buy a lot more credits than you think you’re going to need."

"Generally, the cost is ROI positive, depending on your shipping volume."

"Be sure to determine how the data is priced (record-based versus credit-based or some hybrid of data and services)."

"Melissa pricing is competitive."

More Melissa Data Quality pricing and cost advice

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Top Industries

By visitors reading reviews

No data available

Insurance Company

14%

Manufacturing Company

11%

Financial Services Firm

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Comparisons

Ataccama ONE Platform vs IBM Infosphere Information Analyzer

Compared 29% of the time

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

Compared 26% of the time

Informatica Cloud Data Quality vs IBM Infosphere Information Analyzer

Compared 26% of the time

SAP Data Services vs IBM Infosphere Information Analyzer

Compared 19% of the time

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Experian Data Quality vs Melissa Data Quality

Compared 19% of the time

Coheris Spad Data Quality vs Melissa Data Quality

Compared 17% of the time

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

Compared 17% of the time

Anchor Software Data Quality vs Melissa Data Quality

Compared 17% of the time

Precisely Trillium vs Melissa Data Quality

Compared 11% of the time

More Melissa Data Quality Competitors

Product Reports

Buyer's Guide

Data Quality

July 2025

IBM Infosphere Information Analyzer report

Download IBM Infosphere Information Analyzer product report

Buyer's Guide

Melissa Data Quality

August 2025

Download Melissa Data Quality product report

Also Known As

Information Analyzer

No data available

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

Data Quality Components for SSIS

This suite of data transformations for Microsoft SQL Server Integration Services (SSIS) delivers the full spectrum of data quality including data profiling, data verification, data enrichment and data matching. With an intuitive interface and drag/drop capabilities, this powerful toolkit makes it easy to unify data into a single version of the truth for Master Data Management (MDM) success.

Melissa

Sample Customers

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

Boeing Co., FedEx, Ford Motor Co, Hewlett Packard, Meade-Johnson, Microsoft, Panasonic, Proctor & Gamble, SAAB Cars USA, Sony, Walt Disney, Weight Watchers, and Intel.

Buyer's Guide

IBM Infosphere Information Analyzer vs. Melissa Data Quality

July 2025

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

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