Compare SQL Power Data Quality vs. WinPure Data Quality

SQL Power Data Quality is ranked 3rd in Data Scrubbing Software with 1 review while WinPure Data Quality is ranked 5th in Data Scrubbing Software with 1 review. SQL Power Data Quality is rated 8.0, while WinPure Data Quality is rated 9.0. The top reviewer of SQL Power Data Quality writes "Easy to use and flexible with a well priced base plan". On the other hand, the top reviewer of WinPure Data Quality writes "A solution that offers good performance, good stability, and a straightforward setup". SQL Power Data Quality is most compared with Alteryx, whereas WinPure Data Quality is most compared with Alteryx and Melissa Data Quality.
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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
The solution is able to integrate with many systems and other products.

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With regards to choosing flash versus traditional storage, it's just so much simpler to manage and users get so much better performance from flash.

More WinPure Data Quality Pros »

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.

More SQL Power Data Quality Cons »

The pricing model could use improvement.

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Ranking
3rd
Views
261
Comparisons
227
Reviews
1
Average Words per Review
327
Avg. Rating
8.0
5th
Views
145
Comparisons
85
Reviews
1
Average Words per Review
267
Avg. Rating
9.0
Popular Comparisons
Compared 100% of the time.
Compared 53% of the time.
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SQL Power
WinPure
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Overview
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.Winpure Data Cleaning Matrix provides a method of applying a whole host of cleaning processes onto your data. Containing an array of tools to help clean, correct, standardize and transform your data the matrix is divided into 7 sections, each section focusing on a specific data cleaning operation. All settings can then be stored and used on other similar data sets thus saving a lot of time.
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Learn more about SQL Power Data Quality
Learn more about WinPure Data Quality
Sample Customers
TimeWarner, Champion Technologies Tiscali, Oneil, Broadspire,youbet.com, Pepsi Co, Citco, John LewesBirmingham Hippodrome, Luton Borough Council, Apex Innovations, Sandia National Laboratories, Clear Blue, Vodafone

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