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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 (9th)
 

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.
Hafiz Mannan - PeerSpot reviewer
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."
"The product has an ELT approach."
"​The installation of the client ODI Studio is easy.​"
"The solution's initial setup is straightforward, especially compared to Mule, which our team has worked with before and found to be a bit more complex in terms of setup."
"ODI's best features are customization, integration with other versioning tools, and the ability to define new knowledge modules."
"It's completely user-friendly."
"The CAEM is very useful in its modularity and portability."
"Oracle provides strong support. I can get solutions quickly, and any tickets I submit to Oracle are responded to and resolved rapidly."
"The main benefits that Oracle Data Integrator (ODI) brings to the table include data quality, data completeness functionality, metadata management, and the reverse engineering feature, which allows integrating the metadata of diversified data sources with a single click."
 

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."
"If you have something like Cisco on top of it, you will have endless problems."
"Reverse engineering is complicated and challenging to manage."
"The interface of ODI could be improved. For example, navigating and finding functions can be difficult. For example, you have to know which step you need to go to look at where your job status is. The logical step is a bit complex compared to other tools. It's much easier to get a graphical view, but with ODI, it's graphical, plus you have to know all the other pieces that fit around it. You have to think about the logical and physical aspects."
"An area for improvement would be the lack of SQL compatibility - ODI has no ability to interact with SQL unstructured types and data types."
"The price needs to be lowered. It's too expensive."
"Oracle support services are not up to the mark."
"One of the main disadvantages of the Oracle Data Integrator (ODI) is that it sometimes takes a lot of resources when handling multiple jobs."
"It needs easier security."
 

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."
"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."
"The solution is expensive because of the model they use. The cost is for the license and for support."
"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."
"I have yet to determine the exact figure for Oracle Data Integrator (ODI) pricing, but it has lower pricing than Informatica."
"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."
"There is a standard license to use the solution but there are other costs in addition, such as hardware and operating system."
"The solution is very expensive."
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Comparison Review

it_user99375 - PeerSpot reviewer
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.
873,085 professionals have used our research since 2012.