Melissa Data Quality vs Talend Data Quality comparison

Melissa and Talend are both solutions in the Data Quality category. Melissa is ranked #8 with an average rating of 9.0, while Talend is ranked #6 with an average rating of 8.0. Melissa holds a 3.3% mindshare in DQ, compared to Talend’s 4.4% mindshare. Additionally, 95% of Melissa users are willing to recommend the solution, compared to 89% of Talend users who would recommend it.

Melissa Data Quality

Read 40 Melissa Data Quality reviews

656 Views
400 Comparison Views

95% willing to recommend

Talend Data Quality

Read 20 Talend Data Quality reviews

1,330 Views
678 Comparison Views

89% willing to recommend

Melissa Data Quality

Talend Data Quality

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Executive SummaryUpdated on Jan 6, 2025

Talend Data Quality and Melissa Data Quality compete in data management, with Talend offering greater features for data integration, while Melissa excels in data validation accuracy.

Features:Talend Data Quality is known for strong data profiling, data cleansing, and monitoring, making it a comprehensive data management solution. Melissa Data Quality specializes in address verification, geocoding, and real-time contact data enhancement, making it ideal for businesses focusing on accurate data verification.

Room for Improvement:Talend could improve on ease of setup and address better data visualization tools. It also lacks out-of-the-box components for some applications. Melissa could enhance its integration capabilities with third-party platforms, provide more flexible customization, and improve its batch processing speed for large datasets.

Ease of Deployment and Customer Service:Talend supports both cloud and on-premises deployment, offering flexibility and adaptability. It is characterized by a steeper learning curve. Melissa offers a straightforward installation process with robust customer service, allowing for quicker integration and support.

Pricing and ROI:Talend’s higher initial cost is balanced by its extensive features that deliver high ROI for comprehensive data solutions. Melissa provides a cost-effective setup with a rapid ROI, focusing on specific data-quality functions essential for companies needing accuracy and precision.

To learn more, read our detailed Melissa Data Quality vs. Talend Data Quality Report (Updated: July 2025).

Buyer's Guide

Melissa Data Quality vs. Talend Data Quality

July 2025

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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

8th

Ranking in Data Scrubbing Software

3rd

Average Rating

8.4

Reviews Sentiment

7.6

Number of Reviews

Ranking in other categories

No ranking in other categories

Talend Data Quality

Ranking in Data Quality

6th

Ranking in Data Scrubbing Software

2nd

Average Rating

8.0

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of July 2025, in the Data Quality category, the mindshare of Melissa Data Quality is 3.3%, up from 2.6% compared to the previous year. The mindshare of Talend Data Quality is 4.4%, up from 4.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

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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WesamHabboub

Chief Consultant at Insight360

Stands out for its user-friendly interface, robust community support, competitive pricing and strategic approach to improving data accuracy

Its greatest asset lies in its user-friendly interface, specifically within the Talend Open Studio, known for its ease of use and familiarity among users. The robust community support proves invaluable when encountering challenges, providing a reliable resource for issue resolution. Moreover, the pricing structure stands out as highly competitive compared to other offerings in the market, making it a cost-effective choice for users. The most valuable feature lies in the capability to assign data quality issues to different stakeholders, facilitating the tracking and resolution of defective work. This functionality enables a streamlined process for identifying, assigning, and subsequently addressing data quality issues.

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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

"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."

"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."

"Gives us the ability to offer an additional resource that other companies do not."

"We ran a standard name, address, and zip code, internal dedupe between the different files we had purchased, and we were able to quickly notify our vendor that they had tens of thousands of duplications that they were not even aware of."

"Our customer database is now significantly more accurate and reliable."

"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."

"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."

"We mainly communicate with our customers via email, so we primarily use it to find a phone number so we can contact them more efficiently. This allows us to talk to them and resolve their issues much more quickly."

More Melissa Data Quality pros

"We are able to get emails from URLs very easily using this function when others fail."

"The features that I find to be the most valuable are the extensibility, the integration, and the ease of integration with multiple platforms."

"The file fetch process is impeccable."

"It offers advanced features that allow you to create custom patterns and use regular expressions to identify data issues."

"tLogRows are also great for finding bad data."

"The solution enables robust data matching, merging, survivorship, and Data Stewardship that can be a part of data quality workflows or true master data management."

"The solution is customizable."

"It lowers the amount of time in development from weeks to a day."

More Talend Data Quality pros

Cons

"Needs more/better search tools are needed. Also, state and local tax data would be nice."

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

"One thing I would want to have, when you're doing a property search, you can do it either on the FIPS in the APN number or the address itself. For some entries, I'll have the APN number, and some I'll have the address. Apparently it cannot process something when both the FIPS-APN and the address are on there. I have to sort, once with one and once with the other, which is a little bit of a pain."

"Address validation and parsing in a few countries have room for improvement."

"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.""

"There are some companies out there using Google or other sources to check / confirm if addresses are residential. If Melissa is not doing this, that could be an improvement."

"Needs to validate more addresses accurately."

"It could always be cheaper."

More Melissa Data Quality cons

"There are too many functions which could be streamlined."

"If we encounter issues, it’s most likely when using the Talend Open Studio. The studio can be slow, get stuck, or crash. But again, it can be caused by the resources of your machine or your connection with the repository. If we encounter issues with the Studio we restart the Studio. In emergencies, we create and use a new workspace."

"In redundancy analysis, the query is failing to bring non-matched records. This query is an internal script. There is no way (that I know of) to fix this syntax error for future runs."

"I would say that some of the support elements need improvement."

"Finding assistance with issues can be spotty. With Python, there are literally millions of open source answers which are recent and apply to the version that we are using."

"There are more functions in a non-streamlined manner, which could be refined to arrive at a better off-the-shelf functions."

"In terms of the solution's technical support, the interactions were satisfactory, but there is room for improvement, especially in managing expectations."

"The performance is one area that Talend Data Quality could improve in because large volumes take a lot of time."

More Talend Data Quality cons

Pricing and Cost Advice

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

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

"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."

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

"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."

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

"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."

"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."

More Melissa Data Quality pricing and cost advice

"It's a subscription-based platform, we renew it every year."

"It is cheaper than Informatica. Talend Data Quality costs somewhere between $10,000 to $12,000 per year for a seat license. It would cost around $20,000 per year for a concurrent license. It is the same for the whole big data solution, which comes with Talend DI, Talend DQ, and TDM."

"Moreover, the pricing structure stands out as highly competitive compared to other offerings in the market, making it a cost-effective choice for users."

"We did not purchase a separate license for DQ. It is part of our data platform suite, and I believe it is well-priced."

"I would advise to first take a look and at the Open Studio edition. Figure out what you need and purchase the appropriate license."

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Top Industries

By visitors reading reviews

Insurance Company

15%

Financial Services Firm

11%

Computer Software Company

11%

Manufacturing Company

11%

Financial Services Firm

14%

Computer Software Company

13%

Manufacturing Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

Ask a question

Earn 20 points

What do you like most about Talend Data Quality?

The most valuable feature lies in the capability to assign data quality issues to different stakeholders, facilitating the tracking and resolution of defective work.

See all answers

What is your experience regarding pricing and costs for Talend Data Quality?

There are many data quality tools available, but some can be expensive. Talend Data Quality stands out because it is often provided for free if you already have Talend Data Integration, which means...

See all answers

What needs improvement with Talend Data Quality?

Talend suite might have a missing product, particularly in the commercial master aspect. This would contribute to completing the overall picture, though the focus isn't necessarily on economic cons...

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Comparisons

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Compared 25% of the time

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

Compared 27% of the time

Ataccama ONE Platform vs Talend Data Quality

Compared 20% of the time

Precisely Trillium vs Talend Data Quality

Compared 17% of the time

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Product Reports

Buyer's Guide

Melissa Data Quality

June 2025

Download Melissa Data Quality product report

Buyer's Guide

Talend Data Quality

June 2025

Download Talend Data Quality product report

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

The data quality tools in Talend Open Studio for Data Quality enable you to quickly take the first big step towards better data quality for your organization: getting a clear picture of your current data quality. Without having to write any code, you can perform data quality analysis tasks ranging from simple statistical profiling, to analysis of text fields and numeric fields, to validation against standard patterns (email address syntax, credit card number formats) or custom patterns of your own creation.

Talend

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.

Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group

Buyer's Guide

Melissa Data Quality vs. Talend Data Quality

July 2025

Free Report: Melissa Data Quality vs. Talend Data Quality

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