Melissa Data Quality vs SQL Power Data Quality comparison

Cancel
You must select at least 2 products to compare!
Melissa Logo
304 views|167 comparisons
95% willing to recommend
SQL Power Logo
66 views|53 comparisons
100% willing to recommend
Comparison Buyer's Guide
Executive Summary

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

Find out what your peers are saying about Talend, Experian, Ataccama and others in Data Scrubbing Software.
To learn more, read our detailed Data Scrubbing Software Report (Updated: May 2024).
769,630 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"We have only been using this for about two months, but it has sped up our processing significantly. It makes data mining easy and fast. We don't have to spend an entire month gathering correct information on leads. All we need is a list of home addresses, and in minutes we have names and phone numbers to increase our chance of these leads becoming customers.""Provides simplicity, ease of use, combined with overall accuracy of data.""Provides quality accurate data that our downstream solutions depend on.""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.""We use a Melissa API to access the data, so it easy to use, accurate, and fast.""​Ability to keep our data set clean and usable for our community searches.​""​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.""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."

More Melissa Data Quality Pros →

"The solution is able to integrate with many systems and other products.""It is a scalable solution. We have over 1,000 SQL Power Data Quality users in our organization.""The Nomo, select form, and so on are the most valuable features."

More SQL Power Data Quality Pros →

Cons
"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.""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.""​If I had multiple Excel files open and ran Listware it would crash Excel, charge the credits, and not save the results.""To continually update the database with NAICS codes on businesses.""It would be helpful if a list of the codes and explanations could be included.""MatchUp seems to be single threaded, and limits the amount of data that can be processed automatically.""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.""It would be nice if it also had a user interface, as it did in years past."

More Melissa Data Quality Cons →

"The only area of improvement that we've come across within the solution was the portfolio roadmap creation. There's a bit of limitation there, but otherwise, the tool itself is very good.""Downtime issues should be improved.""The normalization factor should be improved so that it is better scaled. It should be more user-friendly."

More SQL Power Data Quality Cons →

Pricing and Cost Advice
  • "It's affordable."
  • "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."
  • "They were willing to work with our preferred vendors, though it involved extra steps to get the license."
  • "Depends on situation. We prefer to have data onsite, but some might prefer web access."
  • "Melissa pricing is competitive."
  • "Pricing is very reasonable."
  • "I think it's worth the value for me to run it."
  • "Generally, the cost is ROI positive, depending on your shipping volume."
  • More Melissa Data Quality Pricing and Cost Advice →

    Information Not Available
    report
    Use our free recommendation engine to learn which Data Scrubbing Software solutions are best for your needs.
    769,630 professionals have used our research since 2012.
    Questions from the Community
    Ask a question

    Earn 20 points

    Top Answer:The Nomo, select form, and so on are the most valuable features.
    Top Answer:It is a very good solution and I recommend it. I rate the overall solution an eight out of ten.
    Ranking
    4th
    Views
    304
    Comparisons
    167
    Reviews
    1
    Average Words per Review
    2,004
    Rating
    9.0
    6th
    Views
    66
    Comparisons
    53
    Reviews
    2
    Average Words per Review
    217
    Rating
    8.5
    Comparisons
    Learn More
    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 SQL Power Data Quality helps you cleanse your data, validate and correct addresses, identify and remove duplicates, and build cross-references between source and target tables. This provides business users with complete and accurate data, and a single 360-degree view of all business entities, such as customer, product, representative, employee, supplier or business unit.
    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.
    TimeWarner, Champion Technologies Tiscali, Oneil, Broadspire,youbet.com, Pepsi Co, Citco, John Lewes
    Top Industries
    REVIEWERS
    Healthcare Company16%
    Retailer11%
    Financial Services Firm11%
    Government11%
    VISITORS READING REVIEWS
    Manufacturing Company13%
    Computer Software Company12%
    Financial Services Firm11%
    Government10%
    No Data Available
    Company Size
    REVIEWERS
    Small Business41%
    Midsize Enterprise10%
    Large Enterprise48%
    VISITORS READING REVIEWS
    Small Business25%
    Midsize Enterprise18%
    Large Enterprise57%
    No Data Available
    Buyer's Guide
    Data Scrubbing Software
    May 2024
    Find out what your peers are saying about Talend, Experian, Ataccama and others in Data Scrubbing Software. Updated: May 2024.
    769,630 professionals have used our research since 2012.

    Melissa Data Quality is ranked 4th in Data Scrubbing Software with 40 reviews while SQL Power Data Quality is ranked 6th in Data Scrubbing Software with 4 reviews. Melissa Data Quality is rated 8.4, while SQL Power Data Quality is rated 8.8. The top reviewer of Melissa Data Quality writes "SSIS MatchUp Component is Amazing". On the other hand, the top reviewer of SQL Power Data Quality writes "Is easy to deploy and is stable and scalable". Melissa Data Quality is most compared with Informatica Address Verification, SAP Data Quality Management, Precisely Trillium and Experian Data Quality, whereas SQL Power Data Quality is most compared with Alteryx.

    See our list of best Data Scrubbing Software vendors.

    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.