SQL Power Data Quality Review - why 3.4 stars?
Compare PricingITQlick Score: | 62/100 |
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ITQlick Rating: |
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Pricing: | 6.6/10 - high cost |
Category: | Business Intelligence -> SQL Power Data Quality review |
Ranking: | Ranked 315 out of 553 Business Intelligence systems |
Company: | SQL Power Group Inc. |
Typical customers: | Start up, Small business, Medium business, Large business |
Platforms: | Desktop, Mobile, Cloud |
Links: | SQL Power Data Quality pricing, SQL Power Data Quality alternatives |
Shlomi Lavi / updated: Jun 01, 2022
SQL Power DQguru facilitates creation of cross-reference tables for linking of source system identifiers to target database identifiers. Support is offered for a variety of transformations and matching functions. Other important capabilities include varying levels of data transformation, support for all major database systems, match validation screen, and others.
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Table of Contents
What is SQL Power Data Quality?
SQL Power DQguru is a data cleansing and MDM solution for businesses of all sizes. Its capabilities include duplicate verification, user-defined data matching criteria, and others. The software was designed and launched by SQL Power Group Inc headquartered in Ontario, Canada.Who is it best for?
Customers of the software include businesses of all sizes and a wide range of types. Major industries and domains where it can be used include technology and software development, automation and manufacturing, media and entertainment, financial services, and others. Some notable clients of the software include Pentaho Kettle Solutions, Braintapper Knowledge Solutions, and others.Main features and functionalities
The software comes with an intuitive graphical user interface affording quick adoption and rapid building and deployment of data conversion workflows. Customized data matching criteria can be implemented and duplicates can be merged after being verified through SQL Power’s interface. The software also facilitates initial and periodic data clean-up.SQL Power DQguru facilitates creation of cross-reference tables for linking of source system identifiers to target database identifiers. Support is offered for a variety of transformations and matching functions. Other important capabilities include varying levels of data transformation, support for all major database systems, match validation screen, and others.
What is the actual cost?
ITQlick pricing score is 6.6 out of 10 (10 is most expensive). Access ITQlick pricing guide for SQL Power Data Quality. You can also find here pricing information from SQL Power Data Quality's website.How it stacks up?
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Auditor - Shlomi Lavi
Shlomi Lavi is an entrepreneur and founder of ITQlick.com. He holds a Bachelor of Science (B.Sc.) in Information Systems Engineering from Ben Gurion University in Israel. Shlomi brings 17 years of global IT and IS management experience as a consultant and implementation expert for small, medium and large-sized (global) companies. Shlomi’s goal is to share the best knowledge and news about information systems so you can make smarter buying decisions for your business.