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AWS AppSync vs AWS Data Pipeline [EOL] comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

AWS AppSync
Average Rating
8.0
Reviews Sentiment
6.6
Number of Reviews
2
Ranking in other categories
Cloud Data Integration (23rd)
AWS Data Pipeline [EOL]
Average Rating
8.0
Number of Reviews
2
Ranking in other categories
No ranking in other categories
 

Featured Reviews

Akil Saji - PeerSpot reviewer
Ease of creating APIs with ongoing updates needed for automation
AWS has made it easy for developers like me to create and manage GraphQL APIs. The ease of use is a main advantage, allowing even beginners to start from scratch and learn through AppSync. Before AWS, developing and managing APIs was quite complex. AWS provided AppSync, which assists developers and startup founders. Startups blooming everywhere benefit from this service, welcoming those who lack prior knowledge. When working on AWS, I notice that Amazon regularly implements new features. For instance, with the Lambda service, AWS is transitioning from an old editor to a new one. Similarly, AppSync frequently introduces updates and changes. This trend is making the user interface more accessible, even for individuals without a technical background. Additionally, the cost is attractive, as AWS operates on a pay-as-you-go basis. These factors make AppSync both easy to use and cost-effective.
Geoffrey Leigh - PeerSpot reviewer
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.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"AWS has made it easy for developers like me to create and manage GraphQL APIs."
"AWS has made it easy for developers like me to create and manage GraphQL APIs."
"Support for multiple data sources and formats is a fantastic feature."
"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."
 

Cons

"In AppSync, assigning roles and permissions to APIs is necessary for accessing other AWS services. Automating this task when creating APIs would be beneficial."
"In AppSync, assigning roles and permissions to APIs is necessary for accessing other AWS services. Automating this task when creating APIs would be beneficial."
"Moving to other clouds is impossible without significantly rearchitecting your applications."
"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."
 

Pricing and Cost Advice

"Licensing fees are paid on a monthly basis, and it is a pay-as-you-go model."
"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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Top Industries

By visitors reading reviews
Financial Services Firm
27%
Computer Software Company
19%
Real Estate/Law Firm
7%
Healthcare Company
7%
Computer Software Company
22%
Financial Services Firm
21%
Government
7%
Educational Organization
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for AWS AppSync?
We initially had limited knowledge about AWS costs. As beginners, we ran many instances for over a month. Consequently, we received a bill from Amazon for around $20, which was unexpected. This hig...
What needs improvement with AWS AppSync?
In AppSync, assigning roles and permissions to APIs is necessary for accessing other AWS services. Automating this task when creating APIs would be beneficial. Regular updates might soon address th...
What is your primary use case for AWS AppSync?
Our company handles in-house projects and serves clients globally. My role with AppSync involves creating GraphQL APIs. There are different types of APIs, such as REST API, GraphQL API, and WebSock...
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.
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.
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...
 

Comparisons

No data available
 

Also Known As

AppSync
No data available
 

Overview

 

Sample Customers

ACBL, Puresec, IDT, ASU, Public Good, cookpad, ALDO, ticketmaster
bp, Cerner, Expedia, Finra, HESS, intuit, Kellog's, Philips, TIME, workday
Find out what your peers are saying about Amazon Web Services (AWS), Informatica, Salesforce and others in Cloud Data Integration. Updated: February 2025.
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