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Oracle Data Integrator (ODI) vs Qlik Compose comparison

 

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
10th
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
51st
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 July 2026, in the Data Integration category, the mindshare of Oracle Data Integrator (ODI) is 2.6%, down from 4.3% compared to the previous year. The mindshare of Qlik Compose is 0.8%, down from 1.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Mindshare Distribution
ProductMindshare (%)
Oracle Data Integrator (ODI)2.6%
Qlik Compose0.8%
Other96.6%
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

"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."
"It has streamlined and automated data loads, and exports from our ERP system to our finance data warehouse and to Hyperion Essbase."
"The features that we have applied to our project has helped us reduce manual effort and increased our scalability and growth."
"ODI significantly improves data integration and management by allowing customization of data types from various sources like SQL Server databases."
"If you want a robust, flexible solution with no extra hardware that is easy to learn, then ODI is the right product for you."
"Go ahead it is a very good, stable and reliable product."
"It uses the power of the database system efficiently."
"The most valuable features of ODI are the ease of development, you can have a template, and you can onboard transfer very quickly."
"It's a stable solution."
"It can scale."
"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."
"The technical support is very good. I rate the technical support a ten out of ten."
"The most valuable is its excellence as a graphical data representation tool and the versatility it offers, especially with drill-down capabilities."
"It is a scalable solution."
"One of the most valuable features was the ability to integrate multiple source systems that mainly used structured IDBMS versions."
"I have found it to be a very good, stable, and strong product."
 

Cons

"An area for improvement in Oracle Data Integrator (ODI) is real-time integration. Currently, my company has a workaround to implement real-time integration, an area on which Oracle must focus more. Real-time integration should be easier in Oracle Data Integrator (ODI). Another area for improvement in Oracle Data Integrator (ODI) is integration with more publishers and subscribers rather than just database integrations."
"At this point in time, we are not satisfied with the stability."
"The price needs to be lowered. It's too expensive."
"The stability of the ODI studio is not strong enough. It crashes occasionally."
"I encountered many problems with the ODI web agent (service that actually executes all the integration tasks) in the 11g version, which was not stable."
"ODI could improve by focusing on streamlining its features without unnecessary overhead."
"There are certain things where it can be improved. Initial solution setup seems a bit complex at the start, it should be improved because it becomes bit tough for a novice to get started on this. Sometimes error description is not helpful to understand the problem it gives some generic type of errors which are at times not that helpful to understand the underlying root cause of the issue."
"ODI could improve the ease of use. There is a steep learning curve to use the solution."
"There should be proper documentation available for the implementation process."
"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 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."
"The solution has room for improvement in the ETL. They have an ETL, but when it comes to the monitoring portion, Qlik Compose doesn't provide a feature for monitoring."
"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."
"I believe that visual data flow management and the transformation function should be improved."
"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 could be more customization options."
 

Pricing and Cost Advice

"The license can be costly, but in certain complex cases, ODI proves to be the optimal solution."
"I rate the platform pricing as five out of ten."
"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."
"We found that the cost compared to other integration tools is a little high, but the solution works great."
"The solution is expensive because of the model they use. The cost is for the license and for support."
"I have yet to determine the exact figure for Oracle Data Integrator (ODI) pricing, but it has lower pricing than Informatica."
"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."
"On a scale of one to ten, where one is cheap, and ten is very expensive, I rate the solution a six."
"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."
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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
Financial Services Firm
14%
Government
9%
Manufacturing Company
8%
Outsourcing Company
7%
Financial Services Firm
13%
Government
11%
Manufacturing Company
9%
Comms Service Provider
9%
 

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: June 2026.
904,748 professionals have used our research since 2012.