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Melissa Data Quality vs SAP Data Services comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 6, 2025

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

Melissa Data Quality
Ranking in Data Quality
8th
Average Rating
8.4
Reviews Sentiment
7.6
Number of Reviews
40
Ranking in other categories
Data Scrubbing Software (3rd)
SAP Data Services
Ranking in Data Quality
2nd
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
50
Ranking in other categories
Data Integration (9th)
 

Mindshare comparison

As of June 2025, in the Data Quality category, the mindshare of Melissa Data Quality is 3.1%, up from 2.7% compared to the previous year. The mindshare of SAP Data Services is 13.9%, down from 14.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Quality
 

Featured Reviews

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.
Ramesh Pampana - PeerSpot reviewer
Has consistently provided impressive data handling capabilities and robust security features
Some of the most valuable features of SAP Data Services ( /products/sap-data-services-reviews ) include data extraction where SAP is the best in that perspective, but when it comes to analytics or the reporting tool, I prefer to connect with Microsoft Power BI ( /products/microsoft-power-bi-reviews ), which is a fantastic tool. Typically, from an end-user perspective, SAP has a huge amount of data, in terms of terabytes of data, but when you analyze that, the best form of visualization is always through Microsoft Power BI ( /products/microsoft-power-bi-reviews ). SAP Data Services provides a best-in-class return on investment, as SAP's vision and forecast are absolutely amazing. They are ahead of technology, building an ecosystem that meets the standards of the fast-changing digital economy. SAP is indeed good at all this now, with so many components such as SAP Signavio, SAP EINS, SAP Work Zone, SAP ALM ( /categories/application-lifecycle-management-alm-suites ), Cloud ALM ( /categories/application-lifecycle-management-alm-suites ), SAP public cloud, SAP private cloud, and BTP, all of which are essential to meet the latest cutting-edge technologies.

Quotes from Members

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

Pros

"Our customer database is now significantly more accurate and reliable."
"It cuts down significantly on time in trying to match names to addresses. I can do in a few hours what would otherwise take days to accomplish."
"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."
"The customers' addresses are now complete, correct and follow one consistent format."
"By using Melissa Data, we are able to scrub and verify, then better validate the end customer's address to ensure a more consistent delivery of products."
"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."
"Extremely easy to install and setup."
"Address verification ensures our customers get their packages, and we aren’t charged for incomplete address information."
"The logic is also simple. It makes it easy to build your extraction."
"It is a powerful product with a broad range of features."
"Technical support from SAP is awesome. If we have an issue, they give a good solution."
"You can always manipulate a lot of things as long as you have the skill level."
"The initial setup is not complex."
"The fact that it's built on SQL, it makes it easy to write code. The database and the connection are quite smooth."
"The solution has good connectivity with SAP."
"I appreciate having access to the SAP data."
 

Cons

"​If I had multiple Excel files open and ran Listware it would crash Excel, charge the credits, and not save the results."
"Needs to validate more addresses accurately."
"The custom software solution we still use in-house makes Excel a lot slower than usual."
"Needs better email append coverage (but every vendor struggles with this)."
"Pricing is based on tiers, with each tier capped at a specified number of records processed. Once you go over the cap at one tier, you are automatically bumped to the next tier. However, they seem to count failed batch processes so it’s good to keep track of the number of records sent. They’ll fix the count when notified, but their system fails to detect actual successful processes versus failed processes."
"We have noticed that some of the emails and addresses return with confusing or incorrect codes, but for the most part, it is accurate.​"
"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.""
"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."
"There should be some kind of enhancement that can be done on the admin side of certain sites where we can assign the roles and responsibilities. We should be able to control who is using the tool and how."
"The interface is not quite user-friendly and is in need of improvement."
"They could make it easier to work with web services."
"The skillset of data engineers matters a bit to use all the functionality of this solution. Otherwise, the delivery speed won't be faster."
"Newer feature integration is lagging behind the company acquisitions and the product could do more to service a broader range of devices."
"In the future, Data Services should offer a cloud version."
"The execution engines and processing engines have shortcomings and need improvements."
"The support is poor because of the time and the knowledge of the support team."
 

Pricing and Cost Advice

"I think it's worth the value for me to run it."
"​It is affordable."
"Be sure to determine how the data is priced (record-based versus credit-based or some hybrid of data and services)."
"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."
"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."
"Cloud version is very cheap. On-premise version is expensive."
"Buy a lot more credits than you think you’re going to need."
"This vendor has no equal in pricing for equivalent functionality."
"The product’s on-premise version is expensive for a medium-sized company."
"The price is very reasonable."
"There is a one time purchase fee plus annual maintenance."
"It's relatively expensive compared to other vendors, but it is competitive."
"Speaking about prices, Oracle and SAP are market leaders. So, the prices are more."
"The pricing is a little high to make the product more competetive in the marketplace."
"I rate the product price as one or two on a scale of one to ten, where one is a low price, and ten is a high price."
"The license price is expensive but medium to large-scale companies, should be able to afford it. Other solutions, such as Talend are easier to afford for smaller companies. Depending on the sources of the data where you are receiving your data you could be paying for more than one license."
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Top Industries

By visitors reading reviews
Insurance Company
15%
Manufacturing Company
12%
Financial Services Firm
11%
Computer Software Company
10%
Manufacturing Company
15%
Computer Software Company
11%
Financial Services Firm
9%
Government
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

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How do you evaluate the ratio of price to quality for SAP Data Services?
I believe the license for the product is fair, even though some competitors offer similar services at lower prices. The difference between the Edge edition and the next one up is significant in pr...
Would you recommend SAP Data Services to complete beginners?
I think after some preparation, a beginner will be able to use SAP Data Services, however, if you are completely unprepared, you may have some issues. I think that in particular you will need a mo...
How has SAP Data Services helped your organization?
SAP Data Services has helped our whole staff understand the data across various sources and systems within the company. Not everyone who works at my organization is an IT expert - most just have av...
 

Also Known As

No data available
SAP BusinessObjects Data Services, SAP BusinessObjects Data Integrator, BusinessObjects Data Integrator
 

Overview

 

Sample Customers

Boeing Co., FedEx, Ford Motor Co, Hewlett Packard, Meade-Johnson, Microsoft, Panasonic, Proctor & Gamble, SAAB Cars USA, Sony, Walt Disney, Weight Watchers, and Intel.
EMC Corporation, LivePerson, Eldorado, Mozzart, The VELUX Group, AOK Bundesverband, Hilti Group, Nissha Printing Company Ltd., Asian Paints, Aareal Bank Group, Migros Group
Find out what your peers are saying about Melissa Data Quality vs. SAP Data Services and other solutions. Updated: June 2025.
859,129 professionals have used our research since 2012.