Try our new research platform with insights from 80,000+ expert users

AWS Data Pipeline [EOL] vs Keboola 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 Data Pipeline [EOL]
Average Rating
8.0
Number of Reviews
2
Ranking in other categories
No ranking in other categories
Keboola
Average Rating
0.0
Number of Reviews
0
Ranking in other categories
Cloud Data Integration (27th)
 

Featured Reviews

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.
Use Keboola?
Share your opinion
report
Use our free recommendation engine to learn which Cloud Data Integration solutions are best for your needs.
867,341 professionals have used our research since 2012.
 

Comparisons

No data available
 

Overview

 

Sample Customers

bp, Cerner, Expedia, Finra, HESS, intuit, Kellog's, Philips, TIME, workday
Compology, Mall Group, Platterz, Firehouse, Ivanhoe Cambridge
Find out what your peers are saying about Amazon Web Services (AWS), Informatica, Salesforce and others in Cloud Data Integration. Updated: August 2025.
867,341 professionals have used our research since 2012.