AWS Data Pipeline [EOL] vs ibi DataMigrator comparison

Amazon Web Services (AWS) and Information Builders 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 Information Builders users who would recommend it.

AWS Data Pipeline [EOL]

Read 2 AWS Data Pipeline [EOL] reviews

100% willing to recommend

ibi DataMigrator

Read 1 ibi DataMigrator review

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100% willing to recommend

AWS Data Pipeline [EOL]

ibi DataMigrator

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Executive Summary

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

Find out what your peers are saying about Amazon Web Services (AWS), Informatica, Salesforce and others in Cloud Data Integration.

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Buyer's Guide

Cloud Data Integration

September 2025

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Helped 869,952 peers since 2012

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

Ranking in other categories

No ranking in other categories

ibi DataMigrator

Average Rating

9.0

Reviews Sentiment

1.0

Number of Reviews

Ranking in other categories

Data Integration (30th)

Featured Reviews

Geoffrey Leigh

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

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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David_Hall

Data Warehouse Analyst at a insurance company with 1,001-5,000 employees

Have seen support quality decline while still relying on long-standing data transformation features

I would assess the tool's error handling and logging features as part of it involves having a sampling thing. Depending on the definition of who's doing this, I used to work at a university where we looked at students who registered, and there were people who could register without specifying their gender. Most people know their gender. Some people would not put their birth date, so their date of birth was the default century. In 1989, we had hundreds of 89-year-olds because it was noted as 1900. What we would do is quickly assess that this is not reasonable; in a college setting, how many 89-year-olds are standing in line for freshman orientation? We could produce transformations on the fly. You can look at stuff, but ultimately, you need to go back to the data. There's logic involved; do you have to have a six-digit zip? Do you need the six plus four? It all depends on your criteria. It's doable, but it takes time, and if there's a lot of that, they usually hire people just to handle it. It's a tool that has its limitations; they haven't added wonderful features, and it's a GUI tool based on a desktop that you can run. Their manuals are pretty good, but we're not really using it actively, so I can't tell you everything right now.

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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

"It is a stable solution...It is a scalable solution."

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

"IBI has led the way for many years because they can read and write any data set."

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."

"Their products work wonderfully during demos, but when we install them, they don't, and I end up following their manual only to find they forgot to mention something important."

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."

Information not available

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Questions from the Community

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What is your experience regarding pricing and costs for ibi DataMigrator?

I don't have details about the pricing or licensing of ibi DataMigrator. I stay away from money matters; the last time I bought something was 35 years ago while trying to convince people it was wor...

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What needs improvement with ibi DataMigrator?

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What is your primary use case for ibi DataMigrator?

That's just it with the main use case for us more recently. We have it, we're licensed for it. We can make sure it works, but we don't really use ibi DataMigrator. ibi DataMigrator is an Extract, T...

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Comparisons

No data available

ibi Open Data Hub for Mainframe vs ibi DataMigrator

Compared 24% of the time

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Informatica Intelligent Data Management Cloud (IDMC) vs ibi DataMigrator

Compared 19% of the time

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Compared 19% of the time

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Product Reports

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Cloud Data Integration

September 2025

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Data Integration

September 2025

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Also Known As

No data available

iWay DataMigrator, Information Builders DataMigrator

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.

Amazon Web Services (AWS)

ibi Data Migrator, a product by ibi specializing in business intelligence and data analytics software, automates the extract, transform, and load (ETL) process for transferring data between diverse sources and destinations. It simplifies data migration workflows through a user-friendly interface, eliminating the need for complex scripting and catering to users with varying programming expertise. Integrated seamlessly with other ibi tools, particularly the WebFOCUS analytics platform, it ensures a smooth flow of data into the BI environment for analysis and reporting. With support for various data sources and targets, data cleansing and transformation capabilities, scheduling and automation features, and data lineage tracking, ibi Data Migrator offers improved data quality, reduced development time, increased efficiency, and enhanced analytics, making it a valuable asset for organizations seeking streamlined ETL processes and better data management.

Information Builders

Sample Customers

bp, Cerner, Expedia, Finra, HESS, intuit, Kellog's, Philips, TIME, workday

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Buyer's Guide

Cloud Data Integration

September 2025

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