AWS Data Pipeline [EOL] vs FME comparison

Amazon Web Services (AWS) and Safe Software are both solutions in the Cloud Data Integration category. Additionally, 100% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 100% of Safe Software users who would recommend it.

AWS Data Pipeline [EOL]

Read 2 AWS Data Pipeline [EOL] reviews

100% willing to recommend

FME

Read 5 FME reviews

2,886 Views
2,157 Comparison Views

100% willing to recommend

AWS Data Pipeline [EOL]

FME

Comparison Buyer's Guide

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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).

Buyer's Guide

AWS Data Pipeline [EOL] vs. FME

March 2024

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Categories and Ranking

AWS Data Pipeline [EOL]

Average Rating

8.0

Number of Reviews

Ranking in other categories

No ranking in other categories

FME

Average Rating

8.6

Number of Reviews

Ranking in other categories

Data Integration (26th)

Featured Reviews

Geoffrey Leigh

Chief Data Strategy and Governance Architect at INDEPENDENT PURCHASING COOPERATIVE, INC

Jun 9, 2023

A stable, scalable, and reliable solution for moving and processing data

We're only considering enhancing the presentation layer to give a more multidimensional OLAP view that AWS seems to have decided on. Redshift with the data mart structure is like an OLAP cube. Oracle Analytics Cloud is an over-code killer and is not what we need. I was looking at Mondrian, which used to be part of the open-source stack from another vendor that works. Still, I am also looking at some of the other OLAP environments like Kaiser and perhaps decided to go to Azure with Microsoft Azure analysis cloud, but that's not multidimensional either as SSAS used to be. We tried the Mondrian, and that didn't perform how we expected. So, we are looking at resetting something to perform as an OLAP in the cloud, particularly AWS, so that we might consider an Azure solution.

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Alan Bloor

Geographic Information System Developer at Public Sector

Nov 8, 2023

Great for handling large volumes of data, but it is priced a bit high

When I do coding, I think about every single function. Some of these functions can be very elementary, like doing a substring or some capitalization. But FME removes all that coding because it's a transformer, so the time to develop an application to get to a point where you're producing results is decreased massively. It used to take weeks and months to develop software, and now I can use something like FME, and within one day, we get results. We can look at and validate data. 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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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."

"It has standard plug-ins available for different data sources."

"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."

"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."

"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."

Cons

"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."

"The user-defined functions have shortcomings in AWS Data Pipeline."

"FME's price needs improvement for the African market."

"Improvements could be made to mapping presentations."

"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."

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."

"The product's price is reasonable."

"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."

"FME Server used to cost £10,000; now it can cost over £100,000."

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Top Industries

By visitors reading reviews

Computer Software Company

21%

Financial Services Firm

20%

Government

Manufacturing Company

Government

30%

Energy/Utilities Company

12%

Computer Software Company

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What do you like most about AWS Data Pipeline?

The most valuable feature of the solution is that orchestration and development capabilities are easier with the tool.

See all answers

What is your experience regarding pricing and costs for AWS 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.

See all answers

What needs improvement with AWS Data Pipeline?

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 Pipeli...

See all answers

What do you like most about FME?

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.

See all answers

What is your experience regarding pricing and costs for FME?

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 expe...

See all answers

What needs improvement with FME?

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 comm...

See all answers

Comparisons

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Oracle Data Integrator (ODI) vs AWS Data Pipeline [EOL]

Compared 25% of the time

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Compared 15% of the time

SSIS vs FME

Compared 9% of the time

Informatica PowerCenter vs FME

Compared 6% of the time

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Product Reports

Buyer's Guide

Cloud Data Integration

October 2024

Download AWS Data Pipeline [EOL] product report

Buyer's Guide

FME

November 2024

Download FME product report

Learn More

Amazon Web Services (AWS)

Safe Software

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

Buyer's Guide

AWS Data Pipeline [EOL] vs. FME

March 2024

Free Report: AWS Data Pipeline [EOL] vs. FME

Find out what your peers are saying about AWS Data Pipeline [EOL] vs. FME and other solutions. Updated: March 2024.

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