SAS Data Management vs ViaSQL by Adaptigent comparison

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1,563 views|1,254 comparisons
86% willing to recommend
Adaptigent Logo
238 views|168 comparisons
Comparison Buyer's Guide
Executive Summary

We performed a comparison between SAS Data Management and ViaSQL by Adaptigent based on real PeerSpot user reviews.

Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration.
To learn more, read our detailed Data Integration Report (Updated: April 2024).
768,740 professionals have used our research since 2012.
Featured Review
Ed Jarecki
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Quotes From Members
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Pricing and Cost Advice
  • "While it is even free for personal use on the cloud, it can be expensive for desktop installations and enterprise use."
  • "The tool is a bit expensive."
  • "The solution is expensive."
  • More SAS Data Management Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:I am impressed with the tool's ability to customize.
    Top Answer:I would like the tool to include the ability to automate the modifications of the integrations.
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    Ranking
    43rd
    out of 100 in Data Integration
    Views
    1,563
    Comparisons
    1,254
    Reviews
    1
    Average Words per Review
    180
    Rating
    7.0
    67th
    out of 100 in Data Integration
    Views
    238
    Comparisons
    168
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
    Also Known As
    SAS Data Management Platform, Data Management Platform, DataFlux
    GT Software Ivory Suite, Ivory Data Access
    Learn More
    Adaptigent
    Video Not Available
    Overview

    Every decision, every business move, every successful customer interaction - they all come down to high-quality, well-integrated data. If you don't have it, you don't win. SAS Data Management is an industry-leading solution built on a data quality platform that helps you improve, integrate and govern your data.

    ViaSQL enables powerful data extraction from complex sources through standard SQL queries. It provides direct access to all your system databases, allowing teams to seamlessly manage enterprise data with ease. The powerful tool opens bi-directional access to both mainframe and distributed data sources, enabling rapid web and cloud application development. Gone are the days of complex and time-consuming legacy data management practices!

    Direct Access to Data Sources

    With ViaSQL, you can directly access mainframe data using ODBC or JDBC. The native read/write conversion functionality allows you to access both relational and non-relational databases with SQL queries, so your teams don’t need to know anything about mainframe databases.

    Call Out From Mainframe Applications

    ViaSQL also makes outbound calls from legacy applications by providing COBOL and PL/I access to distributed data sources. It allows for true bi-directional data access from the mainframe without the need to modify any legacy system code.

    Bulk Transfer Capabilities

    ViaSQL allows you to move large amounts of data between the mainframe and relational databases. It eliminates the need for other expensive and complex Extract, Transform, and Load (ETL) systems when copying mainframe data to modern data lakes and warehouses.

    Combine Direct and Indirect Data Sources

    When used with Adaptive Integration Fabric, ViaSQL allows you to combine direct and indirect data sources by creating workflows that pull data via mainframe applications, as well as directly from data sources. This allows users to not only create highly efficient data extraction systems but also expose data to modern systems such as REST or SOAP APIs.

    Sample Customers
    Data Management, 1-800-FLOWERS.COM, Absa, Aegon, Allianz Global Corporate & SpecialtyAusgrid, Bank of Queensland, Bell, BMC Software, Canada Post, Ceska pojistovna, Chantecler, Chubb Group of Insurance Companies, Credit Guarantee Corporation, Cr_dito y Cauci‹n, Delaware State Police, Deutsche Lufthansa, Directorate of Economics and Statistics, DSM, Enerjisa, ERGO Insurance Group, Florida Department of Corrections, Generali Hellas, Gitanjali Group, Gloucestershire Constabulary, GS Home Shopping, HealthPartners, IAG New Zealand, iJET, Invacare, Livzon Pharmaceutical Group, Los Angeles County, Miami Herald Media Company, Netherlands Enterprise Agency, New Zealand Ministry of Health, Nippon Paper, North Carolina Office of Information Technology Services, Orlando Magic, OTP Group, PITT OHIO, Plano Independent School District, RWE Poland, Spanish Air Force, Stockholm County Council, Telus, The Travel Corporation, Transitions Optical, Triad Analytic Solutions, UNIQA, US Census Bureau, US Department of Housing and Urban Development, USDA National Agricultural Statistics Service, West Midlands Police, XS Inc., Zenith Insurance
    Landesbank Baden-Württemberg (LBBW), France Galop, Benefit Programs Administration (BPA)
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm25%
    Computer Software Company11%
    Insurance Company10%
    Government8%
    No Data Available
    Company Size
    REVIEWERS
    Small Business50%
    Midsize Enterprise7%
    Large Enterprise43%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise10%
    Large Enterprise73%
    No Data Available
    Buyer's Guide
    Data Integration
    April 2024
    Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration. Updated: April 2024.
    768,740 professionals have used our research since 2012.

    SAS Data Management is ranked 43rd in Data Integration with 15 reviews while ViaSQL by Adaptigent is ranked 67th in Data Integration. SAS Data Management is rated 8.4, while ViaSQL by Adaptigent is rated 0.0. The top reviewer of SAS Data Management writes "A scalable solution with customer support that is responsive and diligent". On the other hand, SAS Data Management is most compared with Informatica PowerCenter, Tungsten RPA, Microsoft Purview, IBM InfoSphere DataStage and Palantir Foundry, whereas ViaSQL by Adaptigent is most compared with .

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