Melissa Data Quality Suite vs. Qualdo

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Melissa Data Quality Suite
Score 9.1 out of 10
N/A
The Data Quality Suite from Melissa headquartered in San Margarita, helps organizations of all sizes verify and maintain data so they can effectively communicate with their customers via postal mail, email or phone.N/A
Qualdo
Score 0.0 out of 10
N/A
Qualdo.ai provides monitoring , data quality and ML-Models for enterprises adopting a multi-cloud and modern data ecosystem. Qualdo.ai is a proprietary SaaS product where Data-Quality meets Model Monitoring. Available on Azure, AWS and Google cloud databases, Qualdo™ helps enterprises monitor mission-critical ML & data issues, errors, and quality using Augmented Data Engineering. In other words, performance is measured and monitored in autopilot mode.N/A
Pricing
Melissa Data Quality SuiteQualdo
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Melissa Data Quality SuiteQualdo
Free Trial
NoYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Features
Melissa Data Quality SuiteQualdo
Data Quality
Comparison of Data Quality features of Product A and Product B
Melissa Data Quality Suite
8.3
1 Ratings
5% below category average
Qualdo
-
Ratings
Data source connectivity8.01 Ratings00 Ratings
Data profiling9.01 Ratings00 Ratings
Master data management (MDM) integration8.01 Ratings00 Ratings
Data element standardization8.01 Ratings00 Ratings
Match and merge8.01 Ratings00 Ratings
Address verification9.01 Ratings00 Ratings
Best Alternatives
Melissa Data Quality SuiteQualdo
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Medium-sized Companies
IBM InfoSphere Information Server
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Enterprises
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User Ratings
Melissa Data Quality SuiteQualdo
Likelihood to Recommend
9.0
(1 ratings)
-
(0 ratings)
User Testimonials
Melissa Data Quality SuiteQualdo
Likelihood to Recommend
Melissa
The platform is best suited for detailed exploration and filtering that allow users to examine the specific records
that pass or fail a criterion and how they might relate to each other. It also assist in seeing past jobs and compare how quality has changed, providing
more context than just point values.
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Saturam
No answers on this topic
Pros
Melissa
  • It provides ability to profile, discover, and validate data quality.
  • It allows to drill down into larger amounts of data.
  • It automatically suggests possible quality rules based on a statistical profile of the data.
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Saturam
No answers on this topic
Cons
Melissa
  • It can expand connectivity to apply adaptive data quality rules to any data source.
  • It can employing more advanced transformation techniques to transform data for specific formats.
  • It can further continue on its existing capabilities like providing more enriched data curation.
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Saturam
No answers on this topic
ScreenShots