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SAS Data Quality VS Data Wrangler

Compare SAS Data Quality VS Data Wrangler and see what are their differences

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SAS Data Quality logo SAS Data Quality

SAS Data Quality gives you a single interface to manage the entire data quality life cycle: profiling, standardizing, matching and monitoring.

Data Wrangler logo Data Wrangler

Wrangler is an interactive tool for data cleaning and transformation.
  • SAS Data Quality Landing page
    Landing page //
    2023-09-27
  • Data Wrangler Landing page
    Landing page //
    2019-08-19

SAS Data Quality features and specs

  • Comprehensive Feature Set
    SAS Data Quality offers a wide range of data management functions including data profiling, cleansing, enrichment, and monitoring. This enables users to handle various data quality needs within a single platform.
  • Integration Capabilities
    The solution is designed to integrate seamlessly with other SAS products and third-party systems, allowing users to enhance their existing data workflows and analytics pipelines.
  • Advanced Data Profiling
    Provides advanced data profiling tools that help users understand the current state of their data, identify anomalies, and ensure data is consistent, accurate, and complete.
  • User-Friendly Interface
    The platform is equipped with an intuitive interface that simplifies the process of managing data quality for both technical and non-technical users.
  • Strong Support and Documentation
    SAS offers extensive documentation, guides, and customer support, which can be vital for troubleshooting and maximizing the utility of the software.

Possible disadvantages of SAS Data Quality

  • Cost
    As an enterprise-level solution, SAS Data Quality can be expensive, which might be prohibitive for small to medium-sized businesses or startups with tight budgets.
  • Complexity
    While feature-rich, the software can be complex and may require substantial time and resources to learn fully, especially for users not familiar with SAS products.
  • Resource-Intensive
    Running comprehensive data quality processes can be resource-intensive, necessitating robust hardware infrastructure or cloud resources to operate efficiently.
  • Customization Limitations
    Although powerful, the platform may not offer the level of customization some organizations require for highly specialized or unique data processes.
  • Dependency on SAS Ecosystem
    Organizations using other data tools may need additional integrations, and being heavily invested in the SAS ecosystem might limit flexibility in adopting new or different technologies.

Data Wrangler features and specs

No features have been listed yet.

SAS Data Quality videos

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Data Wrangler videos

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AWS Tutorials - Introduction to AWS Data Wrangler

More videos:

  • Review - AWS Data Wrangler: Get Glue Catalog Table Description

Category Popularity

0-100% (relative to SAS Data Quality and Data Wrangler)

SAS Data Quality

Data Wrangler

Data Integration
64 64%
Data Integration
36% 36
Data Management
0 0%
Data Management
100% 100
Sales Tools
100 100%
Sales Tools
0% 0
OS & Utilities
100 100%
OS & Utilities
0% 0

User comments

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What are some alternatives?

When comparing SAS Data Quality and Data Wrangler, you can also consider the following products

RingLead - RingLead offers a complete end-to-end suite of products to clean, protect, and enhance company and contact information.

Refinator.xyz - Refinator.xyz: Your data's best friend. Tackle messy datasets effortlessly with powerful data cleansing tools, privacy-first features, and seamless format conversions, all on your desktop

Oracle Data Quality - Overview of Oracle Enterprise Data Quality

Modern CSV - A CSV editor/viewer

WinPure Clean & Match - WinPure Clean & Match is the worlds best data cleansing & data matching software for sophisticated matching, cleansing and deduplication.

Easy Data Transform - Transform your data without programming.

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