Compare Ataccama DQ Analyzer vs. Melissa Data Quality

Ataccama DQ Analyzer is ranked 3rd in Data Scrubbing Software with 1 review while Melissa Data Quality is ranked 1st in Data Scrubbing Software with 11 reviews. Ataccama DQ Analyzer is rated 8.0, while Melissa Data Quality is rated 8.2. The top reviewer of Ataccama DQ Analyzer writes "Helps us understand data quality, from multiple sources, in layman's terms". On the other hand, the top reviewer of Melissa Data Quality writes "SSIS MatchUp Component is Amazing". Ataccama DQ Analyzer is most compared with Talend Data Quality, Alteryx and Melissa Data Quality, whereas Melissa Data Quality is most compared with Informatica Address Verification, Experian Data Quality and Talend Data Quality.
Cancel
You must select at least 2 products to compare!
Most Helpful Review
Find out what your peers are saying about Melissa Data Quality vs. Talend Data Quality and other solutions. Updated: January 2020.
389,978 professionals have used our research since 2012.
Quotes From Members

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

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

Read more »

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.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.​Ability to keep our data set clean and usable for our community searches.​​​Allows us to delete and correct incorrect data to make the searching of our applicant tracking system more consistent and relevant.​​It saves a huge amount of time. Before using this service, we used a vendor that manually ran our lists through this NCOA list, which might have taken one to three business days to return the file. This was a huge bottleneck in our process, and the data returned was not always accurate. After switching to Melissa Data’s SmartMover, the process has been reduced to between ten minutes and three hours, depending on the amount of records sent.​It has a straightforward, easy setup.Gives us the ability to offer an additional resource that other companies do not.We are able to send out client mailings with the most accurate addresses possible.

Read more »

Cons
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.

Read more »

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.We would appreciate it if there was a larger database so that we could find information more often. For example, we can search for 10 people and only find the information for three of them, if we are lucky.The custom software solution we still use in-house makes Excel a lot slower than usual.We have noticed that some of the emails and addresses return with confusing or incorrect codes, but for the most part, it is accurate.​The billing structure does not seem very accurate. We’ve had issues with miscounted batch records processedPricing 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 encounter failed batch processes once in a while, but their team is quick to rectify issues.Needs to provide more phone numbers, even cell numbers (scrubbed numbers).

Read more »

Pricing and Cost Advice
Information Not Available
This vendor has no equal in pricing for equivalent functionality.Buy a lot more credits than you think you’re going to need.​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.​​It is affordable.Pricing is very reasonable, no licensing required.​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.Cloud version is very cheap. On-premise version is expensive.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.

Read more »

report
Use our free recommendation engine to learn which Data Scrubbing Software solutions are best for your needs.
389,978 professionals have used our research since 2012.
Ranking
3rd
Views
989
Comparisons
600
Reviews
1
Average Words per Review
283
Avg. Rating
8.0
1st
Views
2,935
Comparisons
866
Reviews
11
Average Words per Review
520
Avg. Rating
8.2
Top Comparisons
Compared 13% of the time.
Also Known As
DQ Analyzer
Learn
Ataccama
Melissa
Overview
DQ Analyzer (DQA) combines advanced data profiling and analysis capabilities with a point-and-click interface that is simple enough for business managers to use without extensive training.

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.

Offer
Learn more about Ataccama DQ Analyzer
Learn more about Melissa Data Quality
Sample Customers
University of ArizonaBoeing Co., FedEx, Ford Motor Co, Hewlett Packard, Meade-Johnson, Microsoft, Panasonic, Proctor & Gamble, SAAB Cars USA, Sony, Walt Disney, Weight Watchers, and Intel.
Top Industries
No Data Available
REVIEWERS
Healthcare Company16%
Retailer11%
Government11%
Financial Services Firm11%
VISITORS READING REVIEWS
Software R&D Company34%
Non Profit22%
Government8%
Comms Service Provider6%
Find out what your peers are saying about Melissa Data Quality vs. Talend Data Quality and other solutions. Updated: January 2020.
389,978 professionals have used our research since 2012.
We monitor all Data Scrubbing Software reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.