Ataccama ONE Platform vs Melissa Data Quality comparison

Ataccama and Melissa are both solutions in the Data Quality category. Ataccama is ranked #4 with an average rating of 7.7, while Melissa is ranked #5 with an average rating of 9.0. Ataccama holds a 4.5% mindshare in DQ, compared to Melissa’s 4.4% mindshare. Additionally, 100% of Ataccama users are willing to recommend the solution, compared to 95% of Melissa users who would recommend it.

Ataccama ONE Platform

Read 15 Ataccama ONE Platform reviews

3,219 Views
1,127 Comparison Views

100% willing to recommend

Melissa Data Quality

Read 40 Melissa Data Quality reviews

1,315 Views
894 Comparison Views

95% willing to recommend

Ataccama ONE Platform

Melissa Data Quality

Comparison Buyer's Guide

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Executive SummaryUpdated on Nov 16, 2025

Melissa Data Quality and Ataccama ONE Platform compete in the data management space. While Melissa Data Quality is favored for its pricing and support, Ataccama ONE is often chosen for its advanced features that validate its cost.

Features: Melissa Data Quality focuses on contact verification, address standardization, and metadata management to maintain data cleanliness. Ataccama ONE offers AI-driven data profiling, data governance, and automation capabilities for cohesive data management.

Room for Improvement: Melissa Data Quality could enhance their AI capabilities, expand integration options, and improve large-scale data handling. Ataccama ONE might simplify deployment, offer more flexible pricing models, and streamline the learning curve for new users.

Ease of Deployment and Customer Service: Melissa Data Quality offers straightforward deployment with flexible integration options and responsive customer service. Ataccama ONE provides comprehensive support but involves a more complex setup, allowing for scalable solutions.

Pricing and ROI: Melissa Data Quality has a lower setup cost with a quick ROI, ideal for tight budgets. Ataccama ONE requires a higher initial investment but offers significant long-term benefits and ROI for extensive data projects.

To learn more, read our detailed Ataccama ONE Platform vs. Melissa Data Quality Report (Updated: February 2026).

Buyer's Guide

Ataccama ONE Platform vs. Melissa Data Quality

February 2026

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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

Ataccama ONE Platform

Ranking in Data Quality

4th

Ranking in Data Scrubbing Software

4th

Average Rating

7.8

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Master Data Management (MDM) Software (5th), Data Governance (11th), AI Observability (40th)

Melissa Data Quality

Ranking in Data Quality

5th

Ranking in Data Scrubbing Software

5th

Average Rating

8.4

Reviews Sentiment

7.6

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of February 2026, in the Data Quality category, the mindshare of Ataccama ONE Platform is 4.5%, down from 9.1% compared to the previous year. The mindshare of Melissa Data Quality is 4.4%, up from 2.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Quality Market Share Distribution
Product	Market Share (%)
Ataccama ONE Platform	4.5%
Melissa Data Quality	4.4%
Other	91.1%

Data Quality

Featured Reviews

Akhil Danturti

Data Governance Analyst at Entain India

Streamlines reusable data quality rules and has highlighted the need for richer logic and documentation

I worked in Ataccama ONE Platform from version 5 and now we have version 15, which has improved a lot. However, there is still considerable scope for improvement because Ataccama ONE Platform was not that great around 2020 when I started working with it. There can still be more features including writing any logic, improving more keywords for logic building, and enhancing address validation, based on my understanding. User experience is actually good; I do not have any complaints or feedback on that. However, the documentation part can be improved because documentation is key for any organization or tool. If anything is needed for understanding, you have to rely on documentation. Ataccama's documentation has potential for improvement.

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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

"Ataccama ONE Platform has helped us narrow it down to sixty-five million, which is a big win—at least a twenty million reduction in the data size or the storage size."

"The drag-and-drop feature is incredibly flexible and straightforward."

"The data profile itself is excellent. You can understand the quality of the data in layman's terms."

"The ease of use of the user console is valuable."

"It is also easy to deploy."

"Ataccama ONE Platform goes to some large corporations, we are using it for very big data, there is a lot of data being processed by Ataccama in our organization, and it is very good in scalability."

"The product’s important feature is data profiling and quality check."

"Customer service was excellent, and I would give it a ten out of ten."

More Ataccama ONE Platform pros

"Through more accurate data, our marketing department has been able to increase delivery and conversion rates through email direct marketing initiatives."

"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."

"Address parsing. Our other software does not have this functionality."

"Helps our organization provide accurate address information to our customers for direct mailing (household) and other campaigns they want to do."

"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."

"Provides quality accurate data that our downstream solutions depend on."

"Provides simplicity, ease of use, combined with overall accuracy of data."

"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."

More Melissa Data Quality pros

Cons

"I have heard that the licensing and setup costs are quite high, especially if we try to connect for a support call."

"I think the algorithms used in Ataccama ONE Platform need to be defined more and more to figure out things much more perfectly than they are now."

"They could focus more on marketing the product. The current marketing strategy is not working."

"The interfacing to tools such as Collibra was somewhat cumbersome and required more thought."

"It was a little tough for my team to learn and start using Ataccama ONE Platform because the documentation at that time was not good."

"Data movement is a pain."

"I would not say Ataccama ONE Platform is one hundred percent stable. I would rate it at seventy percent stable."

"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."

More Ataccama ONE Platform cons

"More countries should be supported by Melissa."

"I wish there was a way to do a "test run" and see what a particular format will give you."

"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."

"Pricing model."

"There are some hitches in setup, especially with the new encoding, but otherwise it’s relatively simple."

"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."

"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."

"If I had multiple Excel files open and ran Listware it would crash Excel, charge the credits, and not save the results."

More Melissa Data Quality cons

Pricing and Cost Advice

"The product is reasonably priced."

"Our licensing model wasn't user-specific; instead, we paid fees for the engine and maintenance. As we didn't have a support contract, maintenance fees were likely nonexistent. Regarding the upgrade, we had an account for the initial two or three years, and considering the features provided by the solution, the pricing was reasonable."

"Despite not being extremely low-cost, the pricing appears reasonable, making it a profitable and viable choice for companies that prioritize data security and adhere to specific policies."

"There is no need to buy a license. You can just download it and use it for free."

"Pricing is very reasonable, no licensing required."

"Pricing is very reasonable."

"It's affordable."

"The price for address validation is similar in all software. However, the price for geocoding decides the actual pricing. If you get their most accurate geocoding (called GeoPoints), then it will add about $10k+ per million requests."

"Fully understand your volume, both monthly and annually. Speak with a Melissa account manager, they will put together an effective solution to meet your needs."

"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."

"Understand how may transactions you will be processing so that you can get the right tier pricing."

More Melissa Data Quality pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

12%

Manufacturing Company

11%

Computer Software Company

Energy/Utilities Company

Insurance Company

15%

Educational Organization

Manufacturing Company

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	4
Large Enterprise	11

By reviewers
Company Size	Count
Small Business	12
Midsize Enterprise	3
Large Enterprise	14

Questions from the Community

What needs improvement with Ataccama ONE Platform?

See all answers

What is your primary use case for Ataccama ONE Platform?

My main use case for Ataccama ONE Platform is to develop data quality rules, apply them in the monitoring project, and then triage the issues with the data quality rules. For example, we had a proj...

See all answers

What advice do you have for others considering Ataccama ONE Platform?

Ataccama ONE Platform was on-premise before but has moved to a hybrid cloud now. Ataccama ONE Platform integrates with other tools or systems in my organization. Ataccama ONE Platform connects with...

See all answers

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Comparisons

Semarchy xDM vs Ataccama ONE Platform

Compared 14% of the time

Microsoft Purview Data Governance vs Ataccama ONE Platform

Compared 10% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Ataccama ONE Platform

Compared 9% of the time

Collibra Platform vs Ataccama ONE Platform

Compared 8% of the time

Microsoft MDS vs Ataccama ONE Platform

Compared 2% of the time

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Qlik Talend Cloud vs Melissa Data Quality

Compared 22% of the time

Experian Data Quality vs Melissa Data Quality

Compared 14% of the time

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

Compared 8% of the time

Coheris Spad Data Quality vs Melissa Data Quality

Compared 7% of the time

Precisely Trillium vs Melissa Data Quality

Compared 4% of the time

More Melissa Data Quality Competitors

Product Reports

Buyer's Guide

Ataccama ONE Platform

February 2026

Download Ataccama ONE Platform product report

Buyer's Guide

Melissa Data Quality

January 2026

Download Melissa Data Quality product report

Also Known As

Ataccama DQ Analyzer

No data available

Overview

Ataccama ONE Platform provides a comprehensive solution for profiling, cleansing, and integrating data with a user-friendly drag-and-drop interface, enhancing data quality and governance.

Ataccama ONE Platform enhances data profiling and cleansing with easy configuration and robust integration, such as with Collibra. Users value its drag-and-drop capabilities, supporting mainframe, AI, and machine learning. The platform improves data security through profiling and masking while offering extensive integration options. Some areas needing improvement include large database handling and batch management. Additional support for social media data sources, better documentation, and clearer language would be beneficial. Enhanced interfaces, particularly with Collibra, and refined notification systems are desired. This platform suits users seeking improvements in data quality, governance classification, and data migration, connecting with sources like Microsoft SQL, Oracle, and Teradata.

What are the key features of Ataccama ONE Platform?

Data Profiling and Cleansing: Enhances data quality with easy configuration.
Flexible Integration: Seamless integration with platforms like Collibra.
Drag-and-Drop Interface: Provides ease in workflow management.
Support for AI and Machine Learning: Offers advanced analytical capabilities.
Data Security: Ensures protection with profiling and masking features.

What benefits and ROI can users expect?

Improved Data Quality: Enhances data accuracy and reliability.
Enhanced Governance: Facilitates better metadata classification and compliance.
Increased Efficiency: Streamlines data integration and transformation processes.
Advanced Analytics: Leverages AI for insightful data analysis.

In industries like finance and healthcare, Ataccama ONE Platform facilitates data quality management and ensures compliance by connecting with data sources such as Microsoft SQL and Oracle. These industries utilize it for data migration tasks, ensuring data integrity through mapping and transformation processes.

Ataccama

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

Société Générale, First Data, Raiffeisenbank International, T-Mobile, Avast, RSA, Toronto Public Library

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

Ataccama ONE Platform vs. Melissa Data Quality

February 2026

Free Report: Ataccama ONE Platform vs. Melissa Data Quality

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