Oracle Data Integrator (ODI) vs Qlik Compose comparison

Oracle and Qlik are both solutions in the Data Integration category. Oracle is ranked #9 with an average rating of 7.6, while Qlik is ranked #49. Oracle holds a 2.5% mindshare in DI, compared to Qlik’s 0.8% mindshare. Additionally, 84% of Oracle users are willing to recommend the solution, compared to 81% of Qlik users who would recommend it.

Oracle Data Integrator (ODI)

Read 73 Oracle Data Integrator (ODI) reviews

10,545 Views
6,854 Comparison Views

84% willing to recommend

Qlik Compose

Read 12 Qlik Compose reviews

2,319 Views
1,948 Comparison Views

81% willing to recommend

Oracle Data Integrator (ODI)

Qlik Compose

Comparison Buyer's Guide

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Executive SummaryUpdated on Jun 3, 2026

Oracle Data Integrator and Qlik Compose are competitors in the data integration sector. Oracle Data Integrator appears to have the edge in handling extensive data integration tasks due to its comprehensive functionalities, while Qlik Compose is preferred for its ease of use in data model creation and automation.

Features: Oracle Data Integrator utilizes an ELT architecture for efficient data transformation directly on source databases, minimizing network traffic and hardware requirements. Its Knowledge Module approach enables easy customization of integration strategies, and it is highly versatile, integrating with various technologies. Qlik Compose excels in data modeling and warehouse automation and efficiently supports real-time data replication without extensive coding.

Room for Improvement: Oracle Data Integrator could benefit from enhanced error handling, a simplified user interface, and better support for external version control. Users also wish for refined integration with other Oracle Analytics Services. Qlik Compose needs stronger monitoring and scheduling capabilities, improved handling of high-volume data, and expanded transformation functions for better scalability.

Ease of Deployment and Customer Service: Oracle Data Integrator mainly operates on-premises but is adaptable to multiple environments, receiving mixed reviews for its customer service, especially with complex issues involving multiple Oracle products. Qlik Compose offers flexible deployment options across on-premises and cloud systems and is often rated highly for its efficient customer support.

Pricing and ROI: Both Oracle Data Integrator and Qlik Compose face pricing criticisms. Oracle Data Integrator's complex pricing strategies, while valuable for large enterprises, are expensive for small businesses. It shows potential for good ROI with reduced ETL costs and operational efficiency. Qlik Compose, although more affordable, requires careful consideration of data volume-related costs, also demonstrating potential for good ROI when effectively implemented.

To learn more, read our detailed Oracle Data Integrator (ODI) vs. Qlik Compose Report (Updated: June 2026).

Buyer's Guide

Oracle Data Integrator (ODI) vs. Qlik Compose

June 2026

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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

9th

Average Rating

8.0

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

No ranking in other categories

Qlik Compose

Ranking in Data Integration

49th

Average Rating

7.6

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of June 2026, in the Data Integration category, the mindshare of Oracle Data Integrator (ODI) is 2.5%, down from 4.4% 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
Product	Mindshare (%)
Oracle Data Integrator (ODI)	2.5%
Qlik Compose	0.8%
Other	96.7%

Data Integration

Featured Reviews

Hafiz Mannan

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.

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Susheel A

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.

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Quotes from Members

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

Pros

"Besides loading data, we do most of our transformations in ODI."

"It effectively manages errors through its logging and exception-handling capabilities."

"Oracle provides great documentation."

"Once you get the hang of it, it's a pretty cool data integration tool."

"The tool is declarative, and it only runs on the target staging databases, so I have full control over it and I can change the SQL that the tool generates."

"ODI is really powerful for BI projects with traditional star-schema loads."

"The product has an ELT approach."

"We looked at alternatives, but they could not provide us with the complete set of features."

More Oracle Data Integrator (ODI) pros

"I have found it to be a very good, stable, and strong product."

"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."

"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."

"The technical support is very good. I rate the technical support a ten out of ten."

"As long as you pick the solution that best fits with your requirements, you won't find that performance is a problem. It's good."

"There were many valuable features, such as extracting any data to put in the cloud. For example, Qlik was able to gather data from SAP and extract SAP data from the platforms."

"It is a scalable solution."

More Qlik Compose pros

Cons

"The solution lacks some functions and features."

"An area for improvement in Oracle Data Integrator (ODI) is real-time integration."

"The tool should improve its pricing. It prevents the application of Oracle ODI on small and medium projects in countries like Croatia, Germany, or the US. While there are no technological obstacles to using it, the high price makes it unfeasible for projects with smaller budgets."

"At this point in time, we are not satisfied with the stability."

"Right now, they integrate with Subversion, and in the future, there's going to be more tools implemented there for configuration management and some new features there, so right now it's kind of one of those features that has been released, but it's sort of a beta version of that feature where a lot more functionality will be coming down the line."

"I rate it a seven out of 10 because there is room for growth because ODI is still new, in comparison to Informatica, which is a mature product."

"Prior to that, the agent was failing. I was having to check it all the time to see if the jobs ran."

"The resource management aspect of the solution could be improved."

More Oracle Data Integrator (ODI) cons

"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."

"There could be more customization options."

"I don't think Qlik can be used in a high-volume scenario. It didn't work for us."

"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."

"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."

"There is some scope for improvement around the documentation, and a better UI would definitely help."

"Qlik's ETL and data transformation could be better."

"I believe that visual data flow management and the transformation function should be improved."

More Qlik Compose cons

Pricing and Cost Advice

"ODI comes included when buying the cloud version of the Oracle database license."

"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."

"We found that the cost compared to other integration tools is a little high, but the solution works great."

"There is a standard license to use the solution but there are other costs in addition, such as hardware and operating system."

"I rate the platform pricing as five out of ten."

"The license can be costly, but in certain complex cases, ODI proves to be the optimal solution."

"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."

More Oracle Data Integrator (ODI) pricing and cost advice

"On a scale of one to ten, where one is cheap, and ten is very expensive, I rate the solution a six."

"The price of the solution is expensive."

"While they outperform Tableau, there's room for improvement in Qlik's pricing structures, especially for corporate clients like us."

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Comparison Review

it_user99375

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…

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Top Industries

By visitors reading reviews

Financial Services Firm

15%

Government

Manufacturing Company

Construction Company

Financial Services Firm

13%

Government

11%

Manufacturing Company

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	26
Midsize Enterprise	12
Large Enterprise	44

By reviewers
Company Size	Count
Small Business	3
Midsize Enterprise	3
Large Enterprise	6

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...

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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...

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What is your experience regarding pricing and costs for Oracle Data Integrator (ODI)?

I need two administrators for Oracle Data Integrator (ODI).

See all answers

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...

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Comparisons

Oracle Integration Cloud Service vs Oracle Data Integrator (ODI)

Compared 21% of the time

Informatica PowerCenter vs Oracle Data Integrator (ODI)

Compared 6% of the time

SSIS vs Oracle Data Integrator (ODI)

Compared 4% of the time

Oracle GoldenGate vs Oracle Data Integrator (ODI)

Compared 3% of the time

Pentaho Data Integration and Analytics vs Oracle Data Integrator (ODI)

Compared 3% of the time

More Oracle Data Integrator (ODI) Competitors

Qlik Replicate vs Qlik Compose

Compared 10% of the time

Qlik Talend Cloud vs Qlik Compose

Compared 8% of the time

WhereScape RED vs Qlik Compose

Compared 6% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Qlik Compose

Compared 6% of the time

IBM Cloud Pak for Data vs Qlik Compose

Compared 4% of the time

More Qlik Compose Competitors

Product Reports

Buyer's Guide

Oracle Data Integrator (ODI)

June 2026

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Buyer's Guide

Qlik Compose

June 2026

Download Qlik Compose product report

Also Known As

ODI

Compose, Attunity Compose

Overview

Oracle Data Integrator offers flexible EL-T architecture, optimizing processing with database capabilities. It supports diverse data sources, automates deployment, and provides efficient data transformations, making it suitable for data warehousing and complex data environments.

Oracle Data Integrator leverages EL-T architecture to enhance processing by utilizing database strengths. It integrates with a wide array of technologies, including RDBMS, cloud, and big data. The software's Knowledge Modules enable customizable integration strategies, accelerating development. With a user-friendly interface and automation features, it simplifies metadata management and supports real-time data warehousing. Key areas such as UI performance, integration, and real-time data capabilities require enhancements. Challenges include error handling, initial setup, and compatibility with platforms like Git, Azure, and IoT services. Improvements in metadata management, scalability, and user-friendliness are needed.

What are the most important features of Oracle Data Integrator?

EL-T Architecture: Optimizes data processing by leveraging database capabilities
Knowledge Modules: Customizable strategies for faster development
Integration Support: Handles RDBMS, cloud, and big data
Automation: Facilitates rapid deployment and transformations
Real-Time Data Warehousing: Supports continuous data integration

What benefits and ROI should users consider?

Flexibility: Adapts to multiple data integration needs
Efficiency: Leverages existing database engines for optimal ETL functionalities
Scalability: Manages complex, large-scale environments
Cost-Effectiveness: Supports diverse data sources and technology platforms

Organizations utilize Oracle Data Integrator primarily in data warehousing, handling data from ERP systems, EBS, Fusion, and cloud databases. It aids in creating data lakes, OLTP migrations, digital health initiatives, and automation tasks, ensuring seamless integration with databases like MySQL and SQL Server.

Oracle

Qlik Compose enhances data management with ETL capabilities, data integration with CDC, and real-time replication. Its intuitive interface enables easy data modeling and automation, supporting various database integrations.

Qlik Compose is designed for efficient data preparation, migration, and warehouse generation. It incorporates ETL functionalities and data integration with CDC, allowing users to effortlessly create data marts without code. Its automation features facilitate warehouse design while graphical representations and connectivity options increase versatility across multiple sources. Users value its stability, scalability, and the support provided, although improvements in ETL functionalities, performance for large datasets, and NoSQL integration are needed. The solution is widely used in business intelligence with tools like Qlik Replicate for real-time data replication and requires direct SQL for complex transformations.

What are the key features of Qlik Compose?

ETL Capabilities: Simplifies data extraction, transformation, and loading
Data Integration with CDC: Enables real-time data replication
Intuitive Interface: Facilitates easy data modeling and automation
Drag-and-Drop Functionality: Streamlines data task management
Auto-Mapping: Enhances integration of multiple data sources
No-Code Data Marts Creation: Reduces dependency on technical skills

What benefits should users consider in the reviews?

Stability and Scalability: Reliable functioning for growing data needs
Technical Support: Availability of assistance for troubleshooting
Real-Time Replication Capabilities: Efficient data processing and analytics
Low-Code Development: Simplifies complex data handling processes

In industries, Qlik Compose is implemented for enhancing data preparation, migration, and warehousing. It is used in small projects or straightforward data integration tasks and supports business intelligence efforts by offering low-code capabilities, enabling companies to deliver tailored analytics solutions efficiently.

Qlik

Sample Customers

Griffith University, Kansas City Power & Light, Keste, Raymond James Financial, Valdosta State University

Poly-Wood

Buyer's Guide

Oracle Data Integrator (ODI) vs. Qlik Compose

June 2026

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