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 2.9% mindshare in DQ, compared to Talend’s 3.7% 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

530 Views
292 Comparison Views

95% willing to recommend

Talend Data Quality

Read 20 Talend Data Quality reviews

1,043 Views
497 Comparison Views

89% willing to recommend

Melissa Data Quality

Talend Data Quality

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Melissa Data Quality and Talend Data Quality based on real PeerSpot user reviews.

Find out in this report how the two Data Quality solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Melissa Data Quality vs. Talend Data Quality Report (Updated: October 2024).

Buyer's Guide

Melissa Data Quality vs. Talend Data Quality

October 2024

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Helped 816,406 peers since 2012

Categories and Ranking

Melissa Data Quality

Ranking in Data Quality

8th

Ranking in Data Scrubbing Software

4th

Average Rating

8.4

Reviews Sentiment

7.4

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

1st

Average Rating

8.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of November 2024, in the Data Quality category, the mindshare of Melissa Data Quality is 2.9%, down from 3.4% compared to the previous year. The mindshare of Talend Data Quality is 3.7%, down from 6.5% 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

"We like having the ability to write our own utilities/software to process our records and store the final output the way we want."

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

"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."

"Be confident that the scalability and load are not going to be an issue with the services. "

"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."

"Initial setup was fairly straightforward. The documentation was very good in terms of how to integrate and consume the service(s) that we use. It did not take an abundance of time to set up things on our side to use the service."

"By validating and parsing the addresses our customers submit to us, we have reduced the number of addressing errors encountered during our processing."

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

More Melissa Data Quality pros

"This product speeds up the unit testing and QA for specific test scenarios. As a result, the development output quality can be evaluated and adjusted."

"I like idea of storing the results of Data Quality jobs in a DB and having the ability to run reports in the DB to show a dashboard of quality metrics."

"Provides a flexible development environment to the coder."

"The file fetch process is impeccable."

"I really like the fact that there are no out-of-the-box solutions regarding the development of jobs. Other vendors may have modules which cleanse your addresses. In Talend, you have the freedom to completely develop the process yourself. This can be tricky, but it also makes it fun."

"The solution is customizable."

"The jobs are visual and this has improved collaboration between colleagues. It’s much easier to understand a visual job than a piece of Java code."

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

More Talend Data Quality pros

Cons

"Needs to validate more addresses accurately."

"It could always be cheaper."

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

"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."

"It will mix up family members at times, so we will change addresses at times that shouldn’t be changed."

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

"We are no longer using Melissa Data to clean up our address information as there are free tools that we can use to do the same thing."

"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."

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."

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

"It would be more helpful if it offered dynamic dashboards that could be directly used by clients for better analysis."

"The ability to change the code when debugging the JavaScript could be improved."

"NullPointerExceptions are going to be the death of me and are a big reason for our transition away from Talend. One day, it is fine with a 1000 blank rows, then the next day, it will find one blank cell and it breaks down."

"If the SQL input controls could dynamically determine the schema-based on the SQL alone, it would simplify the steps of having to use a manually created and saved schema for use in the TMap for the Postgres and Redshift components. This would make things even easier."

"When we upgraded to Version 6.4.1, we tried using a GIT repository instead of a SVN repository. After a few incidents where things disappeared and changes were not saved, we decided to go back to a SVN repository."

More Talend Data Quality cons

Pricing and Cost Advice

"It's affordable."

"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."

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

"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."

"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."

"This vendor has no equal in pricing for equivalent functionality."

More Melissa Data Quality pricing and cost advice

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

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

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

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

"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."

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816,406 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Manufacturing Company

14%

Financial Services Firm

11%

Insurance Company

10%

Computer Software Company

Financial Services Firm

15%

Computer Software Company

13%

Manufacturing Company

10%

Energy/Utilities Company

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...

See all answers

Comparisons

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

Compared 69% of the time

Experian Data Quality vs Melissa Data Quality

Compared 31% of the time

More Melissa Data Quality Competitors

Ataccama DQ Analyzer vs Talend Data Quality

Compared 40% of the time

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

Compared 32% of the time

Alteryx vs Talend Data Quality

Compared 14% of the time

Experian Data Quality vs Talend Data Quality

Compared 8% of the time

Ataccama ONE Platform vs Talend Data Quality

Compared 7% of the time

More Talend Data Quality Competitors

Product Reports

Buyer's Guide

Melissa Data Quality

November 2024

Download Melissa Data Quality product report

Buyer's Guide

Talend Data Quality

August 2024

Download Talend Data Quality product report

Learn More

Melissa

Talend

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.

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.

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

October 2024

Free Report: Melissa Data Quality vs. Talend Data Quality

Find out what your peers are saying about Melissa Data Quality vs. Talend Data Quality and other solutions. Updated: October 2024.

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816,406 professionals have used our research since 2012.

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