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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Melissa Data Quality Suite

    Score9.1 out of 10
    N/AMelissa Data Quality Suite standardizes, verifies and corrects contact data including postal addresses, email addresses, phone numbers, and names. With flexible deployment through cloud web services or on-premise APIs, it validates addresses for 250 countries globally.N/A

    SAS Data Management

    Score8 out of 10
    N/AA suite of solutions for data connectivity, enhanced transformations and robust governance. Solutions provide a unified view of data with access to data across databases, data warehouses and data lakes. Connects with cloud platforms, on-premises systems and multicloud data sources.N/A
    Pricing
    Melissa Data Quality SuiteSAS Data Management
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    Melissa Data Quality SuiteSAS Data Management
    Free Trial
    YesNo
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional DetailsData Quality Suite - Starting at $12,300.00 Per Year •1,000,000 Records/Year •On Premise – US & Canada •Email Validation, Autocomplete, Data Cleansing including Geolocation •Validate Non-USPS addresses •120-Day ROI Guarantee •Unlimited Tech Support •VIP Onboarding Development and Integration Support—
    More Pricing Information
    Community Pulse
    Melissa Data Quality SuiteSAS Data Management
    Considered Both Products
    Melissa
    No answer on this topic
    SAS
    No answer on this topic
    Key User Insights
    Would buy again
    No answers on this topic
    100%
    Would buy again
    5 Answers
    Delivers good value for the price
    No answers on this topic
    80%
    Delivers good value for the price
    4 Answers
    Happy with the feature set
    No answers on this topic
    100%
    Happy with the feature set
    5 Answers
    Lived up to sales and marketing promises
    No answers on this topic
    100%
    Lived up to sales and marketing promises
    5 Answers
    Implementation went as expected
    No answers on this topic
    No answers on this topic
    Features
    Melissa Data Quality SuiteSAS Data Management
    Data Quality
    Comparison of Data Quality features of Melissa Data Quality Suite and SAS Data Management
    Feature
    Melissa Data Quality Suite
    8.3
    1 Ratings
    3% below category average
    SAS Data Management
    -
    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
    Data Source Connection
    Comparison of Data Source Connection features of Melissa Data Quality Suite and SAS Data Management
    Feature
    Melissa Data Quality Suite
    -
    Ratings
    SAS Data Management
    8.3
    10 Ratings
    1% below category average
    Connect to traditional data sources00 Ratings8.610 Ratings
    Connecto to Big Data and NoSQL00 Ratings8.19 Ratings
    Data Transformations
    Comparison of Data Transformations features of Melissa Data Quality Suite and SAS Data Management
    Feature
    Melissa Data Quality Suite
    -
    Ratings
    SAS Data Management
    6.7
    8 Ratings
    19% below category average
    Simple transformations00 Ratings6.18 Ratings
    Complex transformations00 Ratings7.48 Ratings
    Data Modeling
    Comparison of Data Modeling features of Melissa Data Quality Suite and SAS Data Management
    Feature
    Melissa Data Quality Suite
    -
    Ratings
    SAS Data Management
    6.7
    8 Ratings
    17% below category average
    Data model creation00 Ratings5.56 Ratings
    Metadata management00 Ratings7.47 Ratings
    Business rules and workflow00 Ratings6.67 Ratings
    Collaboration00 Ratings7.07 Ratings
    Testing and debugging00 Ratings6.17 Ratings
    Data Governance
    Comparison of Data Governance features of Melissa Data Quality Suite and SAS Data Management
    Feature
    Melissa Data Quality Suite
    -
    Ratings
    SAS Data Management
    7.9
    9 Ratings
    2% below category average
    Integration with data quality tools00 Ratings7.69 Ratings
    Integration with MDM tools00 Ratings8.27 Ratings
    Best Alternatives
    Melissa Data Quality SuiteSAS Data Management
    Small Businesses
    No answers on this topic
    Skyvia
    Score10 out of 10
    Medium-sized Companies
    No answers on this topic
    IBM InfoSphere Information Server
    Score10 out of 10
    Enterprises
    SAP Data Services
    Score7.8 out of 10
    SolarWinds Task Factory
    Score8.3 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Melissa Data Quality SuiteSAS Data Management
    Likelihood to Recommend
    9.0
    (1 ratings)
    7.6
    (11 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    9.0
    (2 ratings)
    Usability
    -
    (0 ratings)
    6.0
    (2 ratings)
    Performance
    -
    (0 ratings)
    9.0
    (1 ratings)
    Support Rating
    -
    (0 ratings)
    7.7
    (6 ratings)
    User Testimonials
    Melissa Data Quality SuiteSAS Data Management
    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.
    Incentivized
    Read full review
    SAS
    When data is in a system that needs a complex transformation to be usable for an average user. Such tasks as data residing in systems that have very different connection speeds. It can be integrated and used together after passing through the SAS Data Integration Studio removing timing issues from the users' worries. A part that is perhaps less appropriate is getting users who are not familiar with the source data to set up the load processes.
    Incentivized
    Read full review
    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.
    Incentivized
    Read full review
    SAS
    • SAS/Access is great for manipulating large and complex databases.
    • SAS/Access makes it easy to format reports and graphics from your data.
    • Data Management and data storage using the Hadoop environment in SAS/Access allows for rapid analysis and simple programming language for all your data needs.
    Incentivized
    Read full review
    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.
    Incentivized
    Read full review
    SAS
    • Requires third-party drivers to connect to common data sources like SFDC, MS SQL, Postgres.
    • Debugging errors from the logs is a complicated process.
    • E-mail alert system is very primitive and needs customization to make it more modern,
    • Cannot send SMS alerts for jobs.
    Incentivized
    Read full review
    Likelihood to Renew
    Melissa
    No answers on this topic
    SAS
    We are happy with the software and its functionality. As a SAS-shop, DataFlux is a logical choice for complex data integration.
    Read full review
    Usability
    Melissa
    No answers on this topic
    SAS
    The main negative point is the use of a non-standard language for customizations, as well as the poor integration with non-SAS systems. However, there is no doubt that it is a high-performance and powerful product capable of responding optimally to certain requirements.
    Incentivized
    Read full review
    Performance
    Melissa
    No answers on this topic
    SAS
    It worked as expected.
    Incentivized
    Read full review
    Support Rating
    Melissa
    No answers on this topic
    SAS
    With SAS, you pay a license fee annually to use this product. Support is incredible. You get what you pay for, whether it's SAS forums on the SAS support site, technical support tickets via email or phone calls, or example documentation. It's not open source. It's documented thoroughly, and it works.
    Incentivized
    Read full review
    Alternatives Considered
    Melissa
    No answers on this topic
    SAS
    Because of ease of using SAS DI and data processing speed. There were lots of issues with AWS Redshift on cloud environment in terms of making connections with the data sources and while fetching the data we need to write complex queries.
    Incentivized
    Read full review
    Return on Investment
    Melissa
    No answers on this topic
    SAS
    • We have more users who can connect to the many different data sources.
    • Our users do have existing SAS programming knowledge and that can carry over.
    • Business functions are starting to rely on SAS Data Integration Studio work product shortly after introduction.
    Incentivized
    Read full review
    ScreenShots

    Melissa Data Quality Suite Screenshots

    Screenshot of Email Verification: Verify email addresses and receive deliverability confidence score, result codes and domain informationScreenshot of Predictive Accept-All Validation: The Predictive Accept-All Validation feature offers a unique approach to evaluating emails hosted on accept-all servers. While these servers might typically mask inactive or invalid addresses, its proprietary algorithm analyzes patterns and traces of historical activity, giving users a reliable window into the likelihood of successful delivery.Screenshot of Domain Correction: Utilizes state-of-the-art fuzzy matching and data correlation algorithms to automatically correct misspelled domains and outdated providers. Global Email will validate the corrected and standardized version of the input email. By identifying and fixing typos like “dmail.com” to “gmail.com” prior to validation, the system ensures that each email address is accurate before it’s verified, leading to better results and enhanced mailing listsScreenshot of Melissa vs. Other Email Verification ProvidersScreenshot of Phone Verification: Verify any U.S., Canadian, or international telephone numberScreenshot of Phone Verification Step 1: Input- Validates a phone number at point of entry so bad data never enters your system.