Built.io Flow Embed [EOL] vs FME comparison

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Executive Summary

We performed a comparison between Built.io Flow Embed [EOL] and FME based on real PeerSpot user reviews.

Find out what your peers are saying about Amazon Web Services (AWS), MuleSoft, Matillion and others in Cloud Data Integration.
To learn more, read our detailed Cloud Data Integration Report (Updated: March 2024).
768,740 professionals have used our research since 2012.
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Quotes From Members
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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
    Unranked
    In Cloud Data Integration
    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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    Software AG
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    Overview

    Built.io Flow™ Embed is a cloud-based embedded integration engine designed to enable your users to easily connect and integrate data from over 190 systems, apps, and devices from within your application experience.

    Through a simple-to-configure form, your users are able to access more data - quicker - while you retain full control over their integration experience and abilities.

    Because it is based on Built.io Flow, your engineering team can focus on building differentiated content and let the infrastructure and maintenance be handled by us. This means faster time-to-market with less maintenance and more features for your end users.

    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
    Cisco, Agralogics, Dreamforce, Cables & Sensors, Sacramento Kings
    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 Company10%
    Computer Software Company9%
    Manufacturing Company5%
    Company Size
    No Data Available
    VISITORS READING REVIEWS
    Small Business20%
    Midsize Enterprise16%
    Large Enterprise63%
    Buyer's Guide
    Cloud Data Integration
    March 2024
    Find out what your peers are saying about Amazon Web Services (AWS), MuleSoft, Matillion and others in Cloud Data Integration. Updated: March 2024.
    768,740 professionals have used our research since 2012.

    Built.io Flow Embed [EOL] doesn't meet the minimum requirements to be ranked in Cloud Data Integration while FME is ranked 25th in Data Integration with 5 reviews. Built.io Flow Embed [EOL] 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". Built.io Flow Embed [EOL] is most compared with , whereas FME is most compared with Azure Data Factory, Alteryx Designer, Talend Open Studio, SSIS and Informatica PowerCenter.

    See our list of best Cloud Data Integration vendors.

    We monitor all Cloud 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.