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AWS Data Pipeline [EOL] vs Oracle Data Integrator (ODI) 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
Oracle Data Integrator (ODI)
Average Rating
8.0
Reviews Sentiment
6.7
Number of Reviews
72
Ranking in other categories
Data Integration (7th)
 

Featured Reviews

BR
Senior Director Data Architecture at Managed Markets Insight & Technology, LLC
A tool with great orchestration and development capabilities but needs to improve its user-defined functions
In the tool, parallel processing is an area that is contingent, in the sense that you have to be watchful for the cap that you have in terms of computing behind AWS Data Pipeline. You need to always watch for some reason. I am capped with 200 nodes, and if I get to use more than 200 nodes, the AWS Data Pipeline will fail. AWS doesn't state that I have almost gone beyond my limits, and it is allowing me now to go beyond the set limits if I talk to a representative and figure it out. Such aforementioned warnings are not let out by AWS, and they end up failing the nodes if I go beyond the set cap limits.
Hafiz Mannan - PeerSpot reviewer
Head of Data Services – Services Partner at 3 As Technologies
Facilitates complex data integration with ease and flexibility
It would be great if ODI could link the designer, mapping, and workflows in a more simplified manner, maybe in one combined interface. It would be excellent not to have to go into different areas to perform different activities but rather have a user-defined interface where we can configure a job, run it, monitor it, link packages, and link subprocesses all in one frame instead of having the designer separately, mapping separately, and monitoring and session management separately. With respect to data quality challenges, it would be great to give an option to fix data quality issues based on AI. Integrating AI with ODI that provides recommendations on how to fix those data quality issues after analyzing and profiling business data would be excellent. One of the main disadvantages of the Oracle Data Integrator (ODI) is that it sometimes takes a lot of resources when handling multiple jobs. The scalability and the ability to handle multiple workloads of several parallel ETL jobs could use improvement, and certain parallel threads should be added along with the ability to configure multiple jobs from the same data directory structure.

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 allows us to use many languages to develop and to integrate practically all the technologies of the Oracle suite as well as those from non-Oracle vendors."
"​All our systems can be widely integrated by ODI, such as transactional systems, our data warehouses, and B2B integration."
"The most valuable features of ODI are the knowledge modules, such as the Loading Knowledge module and the Check Knowledge module, they are helpful. We can check for the constraints in ODI. That helps in figuring out what are the constraints that are the primary keys created in the tables. We can check them with the Check Knowledge module."
"I like that Oracle Data Integrator (ODI) has a straightforward setup and offers good technical support."
"It uses the power of the database system efficiently."
"The most valuable feature of ODI is the to use of the whole ETL to create a data lake."
"It is an ETL tool, which does the extract, transform, and load."
"What I found most valuable in Oracle Data Integrator (ODI) is that it integrates well with almost all technologies currently being used in my company."
 

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."
"One of the main disadvantages of the Oracle Data Integrator (ODI) is that it sometimes takes a lot of resources when handling multiple jobs."
"Overall the product is fine, but sometimes its reports unknown errors while we compile ETL scripts."
"ODI could improve by being more user-friendly. Informatica, which is also an ETL tool, similar to ODI, but Informatica is very user-friendly, easy to use, and simple to integrate, compared to ODI. ODI has many features, put them all together, and sometimes we get confused about which ones to use, which ones not to use."
"Technical Support could be better."
"The Oracle Data Integrator interface is extremely slow, especially when using remote desktop connections."
"Stability could be improved because some operators have issues."
"Oracle support services are not up to the mark."
"The solution lacks some functions and features."
 

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."
"The Oracle Data Integrator (ODI) pricing isn't expensive, but it's not cheap, so it's in the middle. I'd rate the pricing as three out of five."
"The solution is very expensive."
"There is a standard license to use the solution but there are other costs in addition, such as hardware and operating system."
"The license can be costly, but in certain complex cases, ODI proves to be the optimal solution."
"We found that the cost compared to other integration tools is a little high, but the solution works great."
"Per user, it is $900 USD per year, though they will give some discount. However, even a 60% to 70% of discount for each won't help us much. On top of that, there is the perpetual license you must pay at the outset."
"Being an ODI developer, I never had to pay for this product. I know that the pricing/licensing is not really low, but the product is really good."
"The solution is expensive because of the model they use. The cost is for the license and for support."
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Comparison Review

it_user99375 - PeerSpot reviewer
Database Administrator at a tech services company with 51-200 employees
Mar 31, 2014
Oracle GoldenGate vs. Oracle Active Dataguard
As an Oracle DBA, while working upon high availability of your database you may stumble upon various Oracle strategic capabilities that fall into categories of Oracle Replication. Oracle provides various technologies for replication like GoldenGate, streams, and Active Dataguard. Replication…
 

Top Industries

By visitors reading reviews
No data available
Financial Services Firm
17%
Government
9%
Computer Software Company
8%
Manufacturing Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business25
Midsize Enterprise12
Large Enterprise43
 

Questions from the Community

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What's the difference between Oracle Integration Cloud Service and Oracle Data Integrator (ODI)?
Oracle Integration Cloud Service has a fairly easy initial setup, and Oracle offers initial support and guidance for those who might find the setup to be challenging. There are complications that c...
What do you like most about Oracle Data Integrator (ODI)?
In comparison with other products of the same range, licensing mode is really attractive, no need to license according technology/topology to be used and an incredible Versatility to build any Data...
What is your experience regarding pricing and costs for Oracle Data Integrator (ODI)?
The pricing aspect of Oracle Data Integrator (ODI) is reasonable; it brings significant value to the table. It's not a product for everyone, but for those needing to handle serious business data wi...
 

Also Known As

No data available
ODI
 

Overview

 

Sample Customers

bp, Cerner, Expedia, Finra, HESS, intuit, Kellog's, Philips, TIME, workday
Griffith University, Kansas City Power & Light, Keste, Raymond James Financial, Valdosta State University
Find out what your peers are saying about AWS Data Pipeline [EOL] vs. Oracle Data Integrator (ODI) and other solutions. Updated: March 2024.
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