AWS Data Pipeline [EOL] vs FME comparison

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Executive Summary

We performed a comparison between AWS Data Pipeline [EOL] and FME based on real PeerSpot user reviews.

Find out in this report how the two Cloud Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed AWS Data Pipeline [EOL] vs. FME Report (Updated: March 2024).
765,386 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The most valuable feature of the solution is that orchestration and development capabilities are easier with the tool.""It is a stable solution...It is a scalable solution."

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"All spatial features are unrivaled, and the possibility to execute them based on a scheduled trigger, manual, e-mail, Websocket, tweet, file/directory change or virtually any trigger is most valuable.""It has a very friendly user interface. You don't need to use a lot of code. For us that's the most important aspect about it. Also, it has a lot of connectors and few forms. It has a strong facial aspect. It can do a lot of facial analysis.""It has standard plug-ins available for different data sources.""The most valuable feature of FME is the graphical user interface. There is nothing better. It is very easy to debug because you can see all steps where there are failures. Overall the software is easy to optimize a process.""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."

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Cons
"The user-defined functions have shortcomings in AWS Data Pipeline.""It's almost semi-automatic because you must review and approve code push, which works well. Still, we had many problems getting there during the deployment process, but we got there."

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"FME can improve the geographical transformation. I've had some problems with the geographical transformations, but it's probably mostly because I'm not the most skilled geographer in-house. The solution requires some in-depth knowledge to perform some functions.""To get a higher rating, it would have to improve the price and the associated scalability. These are the main issues.""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.""Improvements could be made to mapping presentations.""FME's price needs improvement for the African market."

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Pricing and Cost Advice
  • "The way we use it, I think it is fair as we're getting a good value for money compared to having a server or some other data pipeline."
  • "I rate the pricing between six to eight on a scale from one to ten, where one is low price, and ten is high price."
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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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    Questions from the Community
    Top Answer:The most valuable feature of the solution is that orchestration and development capabilities are easier with the tool.
    Top Answer:I rate the pricing between six to eight on a scale from one to ten, where one is low price, and ten is high price.
    Top Answer:The user-defined functions have shortcomings in AWS Data Pipeline. The user-defined functions could be one of the areas where I can write a custom function and embed it as a part of AWS Data Pipeline… more »
    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
    13th
    Views
    1,257
    Comparisons
    1,167
    Reviews
    2
    Average Words per Review
    786
    Rating
    8.0
    23rd
    out of 94 in Data Integration
    Views
    3,070
    Comparisons
    2,426
    Reviews
    3
    Average Words per Review
    725
    Rating
    8.3
    Comparisons
    Learn More
    Overview

    AWS Data Pipeline is a web service that helps you reliably process and move data between different AWS compute and storage services, as well as on-premises data sources, at specified intervals. ... AWS Data Pipeline also allows you to move and process data that was previously locked up in on-premises data silos.

    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
    bp, Cerner, Expedia, Finra, HESS, intuit, Kellog's, Philips, TIME, workday
    Shell, US Department of Commerce, PG&E, BC Hydro, City of Vancouver, Enel, Iowa DoT, San Antonio Water System
    Top Industries
    VISITORS READING REVIEWS
    Computer Software Company21%
    Financial Services Firm18%
    Government9%
    Manufacturing Company7%
    VISITORS READING REVIEWS
    Government29%
    Energy/Utilities Company10%
    Computer Software Company10%
    Comms Service Provider5%
    Company Size
    VISITORS READING REVIEWS
    Small Business19%
    Midsize Enterprise15%
    Large Enterprise65%
    VISITORS READING REVIEWS
    Small Business20%
    Midsize Enterprise16%
    Large Enterprise64%
    Buyer's Guide
    AWS Data Pipeline [EOL] vs. FME
    March 2024
    Find out what your peers are saying about AWS Data Pipeline [EOL] vs. FME and other solutions. Updated: March 2024.
    765,386 professionals have used our research since 2012.

    AWS Data Pipeline [EOL] is ranked 13th in Cloud Data Integration with 2 reviews while FME is ranked 23rd in Data Integration with 5 reviews. AWS Data Pipeline [EOL] is rated 8.0, while FME is rated 8.2. The top reviewer of AWS Data Pipeline [EOL] writes "A tool with great orchestration and development capabilities but needs to improve its user-defined functions". On the other hand, the top reviewer of FME writes "Great for handling large volumes of data, but it is priced a bit high". AWS Data Pipeline [EOL] is most compared with AWS Database Migration Service, AWS Glue, Oracle Data Integrator (ODI), Perspectium DataSync and IBM InfoSphere DataStage, whereas FME is most compared with Azure Data Factory, Alteryx Designer, Talend Open Studio, SSIS and Informatica PowerCenter. See our AWS Data Pipeline [EOL] vs. FME report.

    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.