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Ataccama DQ Analyzer vs Melissa Data Quality comparison

 

Comparison Buyer's Guide

Executive Summary

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

Ataccama DQ Analyzer
Ranking in Data Scrubbing Software
6th
Average Rating
7.8
Number of Reviews
4
Ranking in other categories
No ranking in other categories
Melissa Data Quality
Ranking in Data Scrubbing Software
4th
Average Rating
8.4
Reviews Sentiment
7.6
Number of Reviews
40
Ranking in other categories
Data Quality (8th)
 

Mindshare comparison

As of May 2025, in the Data Scrubbing Software category, the mindshare of Ataccama DQ Analyzer is 5.7%, down from 9.2% compared to the previous year. The mindshare of Melissa Data Quality is 7.5%, up from 4.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Scrubbing Software
 

Featured Reviews

Chuha Adequatov - PeerSpot reviewer
Is easy to deploy and is free, but marketing strategies need improvement
We use Ataccama DQ Analyzer to analyze data migration from one source to another. We use it to clean up the data I like that there is no need to buy a license. You can just download it and use it free. It is also easy to deploy. They could focus more on marketing the product. The current…
GM
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.

Quotes from Members

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

Pros

"It is also easy to deploy."
"The data profile itself is excellent. You can understand the quality of the data in layman's terms."
"We like having the ability to write our own utilities/software to process our records and store the final output the way we want."
"We use their GeoPoints to get the most precise, rooftop level geocoding."
"Through more accurate data, our marketing department has been able to increase delivery and conversion rates through email direct marketing initiatives."
"We only use the one feature for the NAICS code. This allows our product users to know what industry a business is in."
"​Ability to keep our data set clean and usable for our community searches.​"
"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."
"There have been tangible benefits in combating fraudulent transactions. The information from Melissa Data is fed straight into our fraud system. This creates efficiency but also removes the need for manual address checks."
"We use a Melissa API to access the data, so it easy to use, accurate, and fast."
 

Cons

"Although DQA can fetch data from most of the commonly used data sources, it has limited modifiers to get data, meaning that the number of technologies from which the data can be acquired is limited. For example, DQA does not support fetching data from Twitter or Facebook. Many competitors have this feature."
"They could focus more on marketing the product. The current marketing strategy is not working."
"It really hasn't given us a phone number for the owner of the property, and that's one thing I'd really like to be getting. Either a phone number or email."
"​If I had multiple Excel files open and ran Listware it would crash Excel, charge the credits, and not save the results."
"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."
"There are some hitches in setup, especially with the new encoding, but otherwise it’s relatively simple."
"Needs to validate more addresses accurately."
"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."
"The SSIS component setup seems a little klunky."
"We have noticed that some of the emails and addresses return with confusing or incorrect codes, but for the most part, it is accurate.​"
 

Pricing and Cost Advice

"There is no need to buy a license. You can just download it and use it for free."
"I think it's worth the value for me to run it."
"The only complaint that I have towards it is they sell licenses based on a range of usage, and I feel those ranges are too large."
"Buy a lot more credits than you think you’re going to need."
"It's affordable."
"Trial subscriptions (via cloud) are very cheap and easy to use. It’s a great way to test Listware to see if you want to go deeper with integration."
"Depends on situation. We prefer to have data onsite, but some might prefer web access."
"Pricing is very reasonable."
"​You should have a good idea of the size of your data and the amount of cleansing you will be doing, so you will purchase the appropriate size bundle.​"
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Energy/Utilities Company
10%
Manufacturing Company
9%
Educational Organization
8%
Insurance Company
15%
Manufacturing Company
12%
Financial Services Firm
11%
Computer Software Company
10%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Also Known As

DQ Analyzer
No data available
 

Overview

 

Sample Customers

University of Arizona
Boeing Co., FedEx, Ford Motor Co, Hewlett Packard, Meade-Johnson, Microsoft, Panasonic, Proctor & Gamble, SAAB Cars USA, Sony, Walt Disney, Weight Watchers, and Intel.
Find out what your peers are saying about Ataccama DQ Analyzer vs. Melissa Data Quality and other solutions. Updated: April 2025.
849,963 professionals have used our research since 2012.