No more typing reviews! Try our Samantha, our new voice AI agent.

Oracle Data Integrator (ODI) vs Qlik Compose comparison

Why PeerSpot?
 

Comparison Buyer's Guide

Executive SummaryUpdated on Jun 3, 2026

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

Oracle Data Integrator (ODI)
Ranking in Data Integration
14th
Average Rating
8.0
Reviews Sentiment
6.7
Number of Reviews
73
Ranking in other categories
No ranking in other categories
Qlik Compose
Ranking in Data Integration
58th
Average Rating
7.6
Reviews Sentiment
6.5
Number of Reviews
12
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of November 2026, in the Data Integration category, the mindshare of Oracle Data Integrator (ODI) is 3.0%, down from 3.1% compared to the previous year. The mindshare of Qlik Compose is 0.8%, down from 0.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Mindshare Distribution
ProductMindshare (%)
Oracle Data Integrator (ODI)3.0%
Qlik Compose0.8%
Other96.2%
Data Integration
 

Featured Reviews

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.
SA
Director - Metrics & Analytics at a computer software company with 1,001-5,000 employees
Efficient data warehouse automation with robust features, but may require enhancements in user-friendly self-service options and pricing flexibility for broader corporate appeal
It could enhance its capabilities in the realm of self-service options as currently, it is more suited for individuals with technical proficiency who can create pages using it. When it comes to end users who may lack technical expertise, they are limited to toggling between existing developments. To empower end users to make critical changes without relying heavily on technical expertise, it would be beneficial to introduce more user-friendly features for development and modification. If it could incorporate correlation analysis capabilities into its platform, especially in a user-friendly manner, it would greatly enhance the tool's overall utility and make it an even more outstanding solution. There is a room for improvement regarding stability.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"ODI is a great ETL tool that you can use for implementation."
"We looked at alternatives, but they could not provide us with the complete set of features."
"My customers started to increase their ETL performance with great margins."
"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."
"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."
"I would definitely recommend the ODI."
"Besides loading data, we do most of our transformations in ODI."
"It is a clever integration tool to extract data from every possible source, and it can transform the source data to a format the targets can handle."
"The most valuable is its excellence as a graphical data representation tool and the versatility it offers, especially with drill-down capabilities."
"One of the most valuable features was the ability to integrate multiple source systems that mainly used structured IDBMS versions."
"Qlik Compose is good enough. It is user-friendly and intuitive."
"It is a scalable solution."
"It's a stable solution."
"I like modeling and code generation. It has become a pretty handy tool because of its short ideation to delivery time. From the time you decide you are modeling a data warehouse, and once you finish the modeling, it generates all the code, generates all the tables. All you have to do is tick a few things, and you can produce a fully functional warehouse. I also like that they have added all the features I have asked for over four years."
"The technical support is very good. I rate the technical support a ten out of ten."
"One of the most valuable features of this tool is its automation capabilities, allowing us to design the warehouse in an automated manner. Additionally, we can generate Data Lifecycle Policies (DLP) reports and efficiently implement updates and best practices based on proven design patterns."
 

Cons

"As with any big tool, truly mastering ODI may take months."
"The GUI is Java based, and is less than friendly."
"When developing on huge internal repositories, the performance is often quite poor."
"Error handling can always be improved with ODI. A lot of the errors are generic, but I will say that with a little experience, you can decipher the errors to help you fix them."
"It needs easier security."
"It is still not as stable as the old BI Apps and ELT tools were, but it's getting there."
"There could be better compatibility with other ETL tools and cloud platforms."
"Customer Service: It could be better. Technical Support: It could be better."
"There should be proper documentation available for the implementation process."
"There could be more customization options."
"For more complex work, we are not using Qlik Compose because it cannot handle very high volumes at the moment. It needs the same batching capabilities that other ETL tools have. We can't batch the data into small chunks when transforming large amounts of data. It tries to do everything in one shot and that's where it fails."
"It could enhance its capabilities in the realm of self-service options as currently, it is more suited for individuals with technical proficiency who can create pages using it."
"It would be better if the first level of technical support were a bit more technically knowledgeable to solve the problem. I think they could also improve the injection of custom scripts. It is pretty difficult to add additional scripts. If the modeling doesn't give you what you want, and you want to change the script generated by the modeling, it is a bit more challenging than in most other products. It is very good with standard form type systems, but if you get a more complicated data paradigm, it tends to struggle with transforming that into a model."
"When processing data from certain tables with a large volume of data, we encounter significant delays. For instance, when dealing with around one million records, it typically takes three to four hours. To address this, I aim to implement performance improvements across all tables, ensuring swift processing similar to those that are currently complete within seconds. The performance issue primarily arises when we analyze the inserts and updates from the source, subsequently dropping the table. While new insertions are handled promptly, updates are processed slowly, leading to performance issues. Despite consulting our Qlik vendors, they were unable to pinpoint the exact cause of this occurrence. Consequently, I am seeking ways to optimize performance within Qlik Compose, specifically concerning updates."
"There is some scope for improvement around the documentation, and a better UI would definitely help."
"I believe that visual data flow management and the transformation function should be improved."
 

Pricing and Cost Advice

"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."
"ODI comes included when buying the cloud version of the Oracle database license."
"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."
"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."
"I rate the platform pricing as five out of ten."
"While they outperform Tableau, there's room for improvement in Qlik's pricing structures, especially for corporate clients like us."
"The price of the solution is expensive."
"On a scale of one to ten, where one is cheap, and ten is very expensive, I rate the solution a six."
report
Use our free recommendation engine to learn which Data Integration solutions are best for your needs.
920,769 professionals have used our research since 2012.
 

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
Financial Services Firm
14%
Outsourcing Company
10%
Manufacturing Company
9%
Government
7%
Financial Services Firm
12%
Comms Service Provider
10%
Construction Company
10%
Healthcare Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business26
Midsize Enterprise12
Large Enterprise44
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise3
Large Enterprise6
 

Questions from the Community

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...
Which ETL tool would you recommend to populate data from OLTP to OLAP?
There are two products I know about * TimeXtender : Microsoft based, Transformation logic is quiet good and can easily be extended with T-SQL , Has a semantic layer that generates metat data for cu...
 

Also Known As

ODI
Compose, Attunity Compose
 

Overview

 

Sample Customers

Griffith University, Kansas City Power & Light, Keste, Raymond James Financial, Valdosta State University
Poly-Wood
Find out what your peers are saying about Oracle Data Integrator (ODI) vs. Qlik Compose and other solutions. Updated: October 2026.
920,769 professionals have used our research since 2012.