Melissa Data Quality vs SAP Data Services comparison

Melissa and SAP are both solutions in the Data Quality category. Melissa is ranked #5 with an average rating of 9.0, while SAP is ranked #3 with an average rating of 8.1. Melissa holds a 4.4% mindshare in DQ, compared to SAP’s 4.5% mindshare. Additionally, 95% of Melissa users are willing to recommend the solution, compared to 86% of SAP users who would recommend it.

Melissa Data Quality

Read 40 Melissa Data Quality reviews

1,315 Views
894 Comparison Views

95% willing to recommend

SAP Data Services

Read 52 SAP Data Services reviews

4,441 Views
1,332 Comparison Views

86% willing to recommend

Melissa Data Quality

SAP Data Services

Comparison Buyer's Guide

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Executive SummaryUpdated on Jan 6, 2025

SAP Data Services and Melissa Data Quality compete in data quality and integration, with Melissa often preferred for its strong focus on data accuracy.

Features: SAP Data Services offers robust data integration capabilities, real-time data access, and advanced transformation functionalities for extensive enterprise data management. Melissa Data Quality provides powerful data cleansing, validation, and enrichment solutions, ideal for businesses prioritizing high data accuracy.

Room for Improvement: SAP Data Services could benefit from simpler deployment processes, improved user-friendliness, and lower cost of setup. Melissa Data Quality might enhance its integration capabilities, offer more advanced transformation features, and expand its database support to compete better with enterprise-level solutions.

Ease of Deployment and Customer Service: SAP Data Services requires a resource-intensive deployment and extensive setup but is backed by a strong support system. Melissa Data Quality offers a quicker, simpler implementation process with efficient customer service, which is advantageous for businesses seeking rapid deployment.

Pricing and ROI: SAP Data Services involves significant initial setup costs, providing substantial ROI for large-scale deployments. Melissa Data Quality offers more cost-effective options, appealing to organizations needing focused data quality solutions with faster ROI.

To learn more, read our detailed Melissa Data Quality vs. SAP Data Services Report (Updated: February 2026).

Buyer's Guide

Melissa Data Quality vs. SAP Data Services

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

Melissa Data Quality

Ranking in Data Quality

5th

Average Rating

8.4

Reviews Sentiment

7.6

Number of Reviews

Ranking in other categories

Data Scrubbing Software (5th)

SAP Data Services

Ranking in Data Quality

3rd

Average Rating

8.0

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Data Integration (9th)

Mindshare comparison

As of February 2026, in the Data Quality category, the mindshare of Melissa Data Quality is 4.4%, up from 2.6% compared to the previous year. The mindshare of SAP Data Services is 4.5%, down from 17.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Quality Market Share Distribution
Product	Market Share (%)
SAP Data Services	4.5%
Melissa Data Quality	4.4%
Other	91.1%

Data Quality

Featured Reviews

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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reviewer2686500

SAP BI Architect at a government with 10,001+ employees

Integration has become more robust and seamless

SAP Data Services is mainly used for extraction of data, and it works with all databases. The flows and everything are configured effectively. One of the most valuable features is that it is integrated. Compared to the past, it is much more robust and easier to use. The only issue is that documentation is not up to the mark. The data quality management features support our business because we can fetch anything based on the requirements. Before, we used to have a tough time getting data, but now, with HANA and all these tools, it is seamless.

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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

"Services for all manner of data-driven organizations, no matter their size or budget."

"Standardizing allows me to more effectively check for duplicate/existing records. Verifying increases the value of the data."

"We use a Melissa API to access the data, so it easy to use, accurate, and fast."

"We are able to more accurately identify valid, and better formatted, data which improves the data we store in our database."

"Allows us to delete and correct incorrect data to make the searching of our applicant tracking system more consistent and relevant."

"It has a straightforward, easy setup."

"Allows us to identify cell phones before dialing, and giving us data about callers."

"We are able to send out client mailings with the most accurate addresses possible."

More Melissa Data Quality pros

"The most valuable feature is the ETL functionality."

"The BA reporting tools, such as Data Services, and ETL tool in SAP Data Services are the most valuable. When we had in-memory requirements, we used HANA. HANA is most preferably for most the customers for in-memory. SAP is the first company that created the in-memory concept."

"The maintenance of data services is the solution's most valuable feature."

"You can always manipulate a lot of things as long as you have the skill level."

"The most valuable feature is the logging capability."

"I appreciate having access to the SAP data."

"Technical support from SAP is awesome. If we have an issue, they give a good solution."

"The HANA database, which is very fast, is a valuable feature."

More SAP Data Services pros

Cons

"Needs better email append coverage (but every vendor struggles with this)."

"MatchUp is a more complex product and I recommend a test area before upgrading to production. Performance can change from version to version."

"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.""

"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."

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

"It would be helpful if a list of the codes and explanations could be included."

"More countries should be supported by Melissa."

"We encounter failed batch processes once in a while, but their team is quick to rectify issues."

More Melissa Data Quality cons

"Scheduling of jobs in the sequence is not available. It's a very tedious process to do that particular task. If there was a tool to schedule in the sequence that would be extremely helpful."

"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."

"In the future, Data Services should offer a cloud version."

"SAP Data Services should be made a web-based solution."

"It will work fine only in an SAP environment. It could be said that the integration with other vendors could be better."

"There needs to be multi-language support, however, my understanding is they are working on multi-language now."

"We encounter challenges while exporting implemented rules, such as those applied to objects like the material master, into a format like Excel for documentation and further analysis."

More SAP Data Services cons

Pricing and Cost Advice

"Pricing is very reasonable, no licensing required."

"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."

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

"NCOA address verification was a requirement from USPS to send out the mailers. This was the only option that charged per address which was extremely helpful since we are a small non-profit school."

"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."

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

More Melissa Data Quality pricing and cost advice

"The pricing is a little high to make the product more competetive in the marketplace."

"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."

"It's relatively expensive compared to other vendors, but it is competitive."

"The enterprise version of SAP Data Services is free."

"The product’s on-premise version is expensive for a medium-sized company."

"At the entry level, if you're using it only for data integration, it is a little bit cheap. However, for large organizations it can be expensive. There are additional costs apart from the license."

"Its pricing is as per the enterprise agreement and not a concern for us."

"The price is very reasonable."

More SAP Data Services pricing and cost advice

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Top Industries

By visitors reading reviews

Insurance Company

15%

Educational Organization

Manufacturing Company

Computer Software Company

Manufacturing Company

14%

Government

Computer Software Company

Financial Services Firm

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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

By reviewers
Company Size	Count
Small Business	13
Midsize Enterprise	5
Large Enterprise	36

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...

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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...

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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...

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Comparisons

Qlik Talend Cloud vs Melissa Data Quality

Compared 23% 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

Syniti Data Quality vs Melissa Data Quality

Compared 3% of the time

More Melissa Data Quality Competitors

Syniti Data Quality vs SAP Data Services

Compared 9% of the time

Palantir Foundry vs SAP Data Services

Compared 5% of the time

Qlik Talend Cloud vs SAP Data Services

Compared 5% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs SAP Data Services

Compared 4% of the time

Azure Data Factory vs SAP Data Services

Compared 4% of the time

More SAP Data Services Competitors

Product Reports

Buyer's Guide

Melissa Data Quality

January 2026

Download Melissa Data Quality product report

Buyer's Guide

SAP Data Services

January 2026

Download SAP Data Services product report

Also Known As

No data available

SAP BusinessObjects Data Services, SAP BusinessObjects Data Integrator, BusinessObjects Data Integrator

Overview

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

SAP Data Services is a top-ranking data integration and data quality tool. This is a product that aims to provide its users with effective access to their data in order to transform it and connect it to various business processes. SAP Data Services offers companies detailed data insights which improve decision-making and make company operations more effective.

Organizations can increase the value of their structured and unstructured data with the functionalities of this product regarding data integration, quality, and cleansing. Through various components such as:

Simplified maintenance
On-premises deployment
Data quality and integration
Intuitive user interfaces

the product transforms data into a ready-to-use resource for business insights.

Some of the key components of SAP Data Services include:

Universal data access
Native-text data processing
Intuitive user interfaces
Data quality dashboards
Simplified data governance
Scalability and high performance

Through these components, the product allows its clients to access and integrate data sources and targets with native connectors. Users can derive meaning from unstructured text data, match data to reduce duplicates, and see the impact of data quality issues. The tool also offers the option to enable parallel processing, bulk data loading, and grid computing for high-volume data loads.

SAP Data Services Features

The solution has different features for data integration, data quality, data profiling, and processing of text data. Using these features, clients can manage their company's data easily and achieve excellent results by optimizing it. Some of the product’s features include:

Data integration capabilities: The features regarding data integration provide a wide variety of opportunities. The product is available in 31 languages and connects to many data sources, providing its clients with access to their data anywhere at any time. It is also integrated with the SAP Business Suite applications, allowing users the full experience that the company has to offer. The tool is interconnected with SAP Data Hub, orchestrating data flows through the SAP Data Intelligence solution. Additionally, it supports a large number of third-party data sources, it is optimized for SAP HANA, and provides fine-tuned data replication and transformation through unique mechanisms.
Data quality capabilities: Clients can use a single interface to access designing, testing, debugging, editing, running, maintaining, and monitoring of data integration and data quality. It allows for the delivery of ready-to-use transformations and exposes hidden problems in users' data. With this feature, clients can build a single version of their data that is most efficient for them.
Data profiling capabilities: Companies that work with high-volume data can employ parallel processing, bulk data loading, and grid computing to be able to operate with the data more efficiently. This feature enables unlimited scalability and high availability by various automations. It also provides excellent security for the treated data through encryption and other services.
Processing of text data capabilities: This feature allows users to extract data from unstructured texts and understand it better. It works with 220 different file and text formats and 31 languages.

SAP Data Services Benefits

This solution offers various benefits to its clients regarding the efficient operation of their data. The key benefits of SAP Data Services include:

Broad access to data which can build a better perspective for companies of their information.
Improved decision-making and information management due to efficient data operations.
Ability to utilize various tools to help unify data on premises, in the cloud, or within big data.
The software provides efficient insight for reporting and data analytics.
The tool allows for easy integration with a large number of different databases.
The product provides the opportunity to seamlessly connect with other SAP solutions.
The solution simplifies extract, transform, and load (ETL) construction processes through intuitive graphic software.

Reviews from Real Users

According to Michael Lutz, senior data warehouse developer at Fox Chase Cancer Center, SAP Data Services is a powerful tool that does a lot.

An associate consultant at a consultancy says the tool is easy to use, simple to implement, and offers very good mapping capabilities.

SAP

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

Buyer's Guide

Melissa Data Quality vs. SAP Data Services

February 2026

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