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AWS Data Pipeline [EOL] vs IBM InfoSphere DataStage 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
IBM InfoSphere DataStage
Average Rating
7.8
Reviews Sentiment
6.8
Number of Reviews
42
Ranking in other categories
Data Integration (6th)
 

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.
Swetha S - PeerSpot reviewer
The solution streamlines design, development, and deployment with effective ETL features
The support has been really good. Typically, if we have any issues, we raise a ticket with IBM, and they help us resolve the issues if required. We also have the flexibility to submit a feature request to be included as part of the wishlist, potentially becoming a product feature in subsequent releases.

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."
"Highly customizable: Allowing you to handle multiple data latencies (scheduled batch, on-demand, and real-time) in the same job."
"The support has been really good."
"The best feature of IBM InfoSphere DataStage for me was that it was very much user-friendly. The solution didn't require that much raw coding because most of its features were drag and drop, plus it had a large number of functionalities."
"The solution is stable."
"The Hierarchical Data Stage is good."
"IBM InfoSphere DataStage is a stable tool with active support from IBM."
"The most valuable feature is the data integration for data warehousing."
"The most valuable feature for our data processing needs is IBM InfoSphere DataStage's capability to handle ETL tasks with large record volumes."
 

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."
"DataStage is quite expensive. It is too hard to find a consultant using DataStage in Turkey."
"Currently lacking virtualization ability."
"I really like this tool, but the administration should be on the same client application because a lot of administration features are not on the client-side, and they usually need to have administrative access. It's quite complicated to force IT teams to have separate administrative access from the developers."
"It would be great if they can include some basic version of data quality checking features."
"The initial setup could be more straightforward."
"The interface needs improvement."
"In the future, I would like to see more integration with cloud technologies."
"The template mapping could be easier."
 

Pricing and Cost Advice

"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 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."
"High-cost of ownership: They could take a page from open source software."
"It's quite expensive."
"The pricing depends on the setup. However, we paid $100,000 as a one-time cost for an on-premises setup."
"I have no information on the exact pricing for IBM InfoSphere DataStage because the solution is usually procured by the clients my company works with, though the pricing is higher compared to other solutions, so many clients choose to go with a different solution rather than IBM InfoSphere DataStage."
"The solution is cheap."
"Small and medium-sized companies cannot afford to pay for this solution."
"The cost is too high."
"It is quite expensive."
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Top Industries

By visitors reading reviews
Computer Software Company
26%
Financial Services Firm
20%
Educational Organization
8%
Government
6%
Financial Services Firm
28%
Computer Software Company
10%
Manufacturing Company
9%
Government
8%
 

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.
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...
Would you upgrade to more premium versions of IBM InfoSphere DataStage?
My company currently uses the free version of the product, and we are definitely switching to a paid one. We needed a tool that can help us not only integrate our data but use it effectively. For ...
Is IBM InfoSphere DataStage more difficult to use compared to other tools in the field?
I think the tool may cause some difficulties if you have not used other data integration solutions before. I have worked at companies that used different tools for data integration, and they work ...
Do you rely on IBM Cloud Paks for your data? Have you utilized this product, or do you use IBM InfoSphere DataStage without it?
IBM Cloud Paks makes a big difference in your data integration. My company has been using it alongside IBM InfoSphere DataStage and while the main product is good on its own, this one truly expands...
 

Overview

 

Sample Customers

bp, Cerner, Expedia, Finra, HESS, intuit, Kellog's, Philips, TIME, workday
Dubai Statistics Center, Etisalat Egypt
Find out what your peers are saying about AWS Data Pipeline [EOL] vs. IBM InfoSphere DataStage and other solutions. Updated: March 2024.
861,390 professionals have used our research since 2012.