CONNX Data Virtualization vs FME comparison

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Executive Summary

We performed a comparison between CONNX Data Virtualization and FME 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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Here are some excerpts of what they said:
Pricing and Cost Advice
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  • "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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    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.
    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 »
    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 »
    Ranking
    71st
    out of 100 in Data Integration
    Views
    192
    Comparisons
    169
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    25th
    out of 100 in Data Integration
    Views
    3,029
    Comparisons
    2,359
    Reviews
    4
    Average Words per Review
    605
    Rating
    8.3
    Comparisons
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    Overview

    CONNX data virtualization solutions unite data from any source – legacy, relational and non-relational – and lend the appearance of centralization without all the inherent risks. The new federated data source protects the integrity and upholds the security of all the contributing data sources while delivering all the benefits of a unified database. It also enables optimal flexibility and control for choosing the best analytics tools for your needs, keeping costs in line with budget and user expectations.

    Your CONNX-enabled unified database is fast, receiving and sharing incremental data changes with no impact on underlying systems or data stores. You can share more data with more people, empowering better decision making throughout the organization without tampering with underlying database configurations or compromising best-of-breed application requirements. It’s hero time.

    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.

    Sample Customers
    Information Not Available
    Shell, US Department of Commerce, PG&E, BC Hydro, City of Vancouver, Enel, Iowa DoT, San Antonio Water System
    Top Industries
    No Data Available
    VISITORS READING REVIEWS
    Government29%
    Energy/Utilities Company11%
    Computer Software Company9%
    Manufacturing Company5%
    Company Size
    No Data Available
    VISITORS READING REVIEWS
    Small Business20%
    Midsize Enterprise16%
    Large Enterprise63%
    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.
    769,065 professionals have used our research since 2012.

    CONNX Data Virtualization is ranked 71st in Data Integration while FME is ranked 25th in Data Integration with 5 reviews. CONNX Data Virtualization is rated 0.0, while FME is rated 8.6. On the other hand, the top reviewer of FME writes "Great for handling large volumes of data, but it is priced a bit high". CONNX Data Virtualization is most compared with , whereas FME is most compared with Azure Data Factory, Alteryx Designer, Talend Open Studio, SSIS and Informatica PowerCenter.

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    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.