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FME vs ViaSQL by Adaptigent comparison

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FME

Read 5 FME reviews
3,029 views|2,359 comparisons
100% willing to recommend
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ViaSQL by Adaptigent

238 views|168 comparisons
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Buyer's Guide
Data Integration
April 2024
Executive Summary

We performed a comparison between FME 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).
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768,578 professionals have used our research since 2012.
Featured Review
reviewer2626457
Intuitive with great integrations and excellent spatial features
FME handles all ETL processes, refreshes data, and produces reports and dashboards. Automated data enrichment and analysis using the setups we use... Read more →
Use ViaSQL by Adaptigent?
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pricing and Cost Advice
  • "We used the standard licensing for our use of FME. The cost was approximately €15,000 annually. We always welcome less expensive solutions, if the solution could be less expensive it would be helpful."
  • "The product's price is reasonable."
  • "FME Server used to cost £10,000; now it can cost over £100,000."

    • More FME Pricing and Cost Advice →

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    Questions from the Community
    What do you like most about FME?
    Top Answer:We make minor subtle changes to the workbenches to improve it. We can share the workbenches. We don't have to use GitHub or anything else.
    Read all 5 answers   →
    What is your experience regarding pricing and costs for FME?
    Top Answer:The pricing is really bad. Last year, they rebranded the whole pricing structure. It used to be moderately priced at about £400 per user per year. Now they've changed the whole thing, and it's… more »
    Read all 5 answers   →
    What needs improvement with FME?
    Top Answer:The one thing that always appears in the community is the ability to make really easy loops to loop through data efficiently. That needs to be added at some point. There must be a technical or… more »
    Read all 5 answers   →
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    Earn 20 points

    Ranking
    25th
    out of 100 in Data Integration
    Views
    3,029
    Comparisons
    2,359
    Reviews
    4
    Average Words per Review
    605
    Rating
    8.3
    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
    GT Software Ivory Suite, Ivory Data Access
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    Adaptigent
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    Overview

    FME is the data integration platform with the best support for spatial data. Run workflows on the desktop or deploy them in a server or cloud environment.

    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
    Shell, US Department of Commerce, PG&E, BC Hydro, City of Vancouver, Enel, Iowa DoT, San Antonio Water System
    Landesbank Baden-Württemberg (LBBW), France Galop, Benefit Programs Administration (BPA)
    Top Industries
    VISITORS READING REVIEWS
    Government29%
    Energy/Utilities Company10%
    Computer Software Company9%
    Manufacturing Company5%
    No Data Available
    Company Size
    VISITORS READING REVIEWS
    Small Business20%
    Midsize Enterprise16%
    Large Enterprise63%
    No Data Available
    Buyer's Guide
    Data Integration
    April 2024
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    Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration. Updated: April 2024.
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    768,578 professionals have used our research since 2012.

    FME is ranked 25th in Data Integration with 5 reviews while ViaSQL by Adaptigent is ranked 67th in Data Integration. FME is rated 8.6, while ViaSQL by Adaptigent is rated 0.0. The top reviewer of FME writes "Great for handling large volumes of data, but it is priced a bit high". On the other hand, FME is most compared with Azure Data Factory, Alteryx Designer, Talend Open Studio, SSIS and Informatica PowerCenter, whereas ViaSQL by Adaptigent is most compared with .

    See our list of best Data Integration vendors.

    We monitor all Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.