Oracle Data Integrator (ODI) vs Qlik Compose comparison

Oracle and Qlik are both solutions in the Data Integration category. Oracle is ranked #7 with an average rating of 7.9, while Qlik is ranked #48. Oracle holds a 2.2% mindshare in DI, compared to Qlik’s 0.9% 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

8,379 Views
5,363 Comparison Views

84% willing to recommend

Qlik Compose

Read 12 Qlik Compose reviews

1,942 Views
1,670 Comparison Views

81% willing to recommend

Oracle Data Integrator (ODI)

Qlik Compose

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 19, 2024

Oracle Data Integrator and Qlik Compose are competing in the data integration tools category. Based on user feedback, Qlik Compose appears to have the upper hand in user-friendliness and automation capabilities, while ODI is favored for its flexibility in integration.

Features: Oracle Data Integrator offers advanced integration strategies using Knowledge Modules, real-time data integration, and design-time automation, making it suitable for various data environments. Its flexibility and robustness support complex transformation and validation processes, ensuring high compatibility with diverse technologies. Qlik Compose is known for its user-friendly automation, data modeling, and real-time replication features, focusing on ease of use for efficient data warehouse creation without detailed coding.

Room for Improvement: Oracle Data Integrator needs improvements in user interface and error handling. Users find mastering the tool complex, with challenges in performance issues and external version control integration. Qlik Compose could enhance its ETL capabilities, scalability, and provide better handling of vast data volumes, along with improved documentation to assist users in utilizing its functionalities efficiently.

Ease of Deployment and Customer Service: Oracle Data Integrator is mainly deployed on-premises with some cloud support. Users report mixed experiences with technical support, especially when involving multiple Oracle products. Qlik Compose also primarily supports on-premises deployment and receives praise for efficient customer service, though a more proactive approach from technical support is occasionally sought.

Pricing and ROI: Oracle Data Integrator is seen as costly, with a complex licensing model but offers long-term ROI through its automation capabilities, particularly valuable for large-scale enterprise projects. Qlik Compose pricing is considered expensive, depending on data usage and licensing factors. Nevertheless, it provides good ROI when effectively implemented, benefiting from its strong automation and integration features.

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

Buyer's Guide

Oracle Data Integrator (ODI) vs. Qlik Compose

April 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

7th

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

48th

Average Rating

7.6

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of April 2026, in the Data Integration category, the mindshare of Oracle Data Integrator (ODI) is 2.2%, down from 4.5% compared to the previous year. The mindshare of Qlik Compose is 0.9%, 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)	2.2%
Qlik Compose	0.9%
Other	96.9%

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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Sahil Taneja

Principal Consultant/Manager at Tenzing

Easy matching and reconciliation of data

The initial setup was easy for the data warehousing concept. But for a person who is new to ETL and warehousing concepts, it may take some time. If someone is familiar with these concepts, they could understand and learn the tool quickly. However, compared to other tools, the UI is complex. It would be helpful to have a better UI and documentation for new users. As of now, there is a challenge in learning the Compose tool for new users altogether. Qlik Compose was deployed on-premises. But the servers, like the SQL servers were maintained on the cloud—the managed instances.

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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

"I would definitely recommend the ODI."

"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."

"It uses the power of the database system efficiently."

"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."

"In our DW/BI solution, ODI is the main tool to integrate the data in a daily batch way."

"Oracle technical support for this product is excellent."

"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."

More Oracle Data Integrator (ODI) pros

"One of the most valuable features was the ability to integrate multiple source systems that mainly used structured IDBMS versions."

"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."

"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."

"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."

"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."

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

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

"It can scale."

More Qlik Compose pros

Cons

"ODI could improve the ease of use. There is a steep learning curve to use the solution."

"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."

"The main problem with ODI is that you have to create each step of the transformation as a new interface. A big data flow can have more than 100 interfaces, which can make it difficult to trace the data."

"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."

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

"Customer Service: It could be better. Technical Support: It could be better."

"The user interface is a little slow."

"I would like to see in the next version/release the ability to scale a package workflow or data flow process during the execution at run time."

More Oracle Data Integrator (ODI) cons

"There should be proper documentation available for the implementation process."

"I'd like to have access to more developer training materials."

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

"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."

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

"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."

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

More Qlik Compose cons

Pricing and Cost Advice

"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."

"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 expensive because of the model they use. The cost is for the license and for support."

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

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

"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."

More Oracle Data Integrator (ODI) pricing and cost advice

"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."

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Database Administrator at a tech services company with 51-200 employees

Mar 31, 2014

Oracle GoldenGate vs. Oracle Active Dataguard

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Top Industries

By visitors reading reviews

Financial Services Firm

16%

Government

Manufacturing Company

Comms Service Provider

Financial Services Firm

12%

Government

11%

Manufacturing Company

Construction Company

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...

See all answers

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 5% of the time

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

Compared 3% of the time

Oracle GoldenGate vs Oracle Data Integrator (ODI)

Compared 3% of the time

More Oracle Data Integrator (ODI) Competitors

Qlik Replicate vs Qlik Compose

Compared 12% of the time

Qlik Talend Cloud vs Qlik Compose

Compared 10% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Qlik Compose

Compared 8% of the time

WhereScape RED vs Qlik Compose

Compared 7% of the time

SSIS vs Qlik Compose

Compared 4% of the time

More Qlik Compose Competitors

Product Reports

Buyer's Guide

Oracle Data Integrator (ODI)

April 2026

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Buyer's Guide

Qlik Compose

April 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

April 2026

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