Oracle Data Integrator (ODI) vs Qlik Compose comparison

Oracle and Qlik are both solutions in the Data Integration category. Oracle is ranked #12 with an average rating of 7.8, while Qlik is ranked #52. Oracle holds a 2.6% 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

12,107 Views
7,748 Comparison Views

84% willing to recommend

Qlik Compose

Read 12 Qlik Compose reviews

2,621 Views
2,123 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: August 2026).

Buyer's Guide

Oracle Data Integrator (ODI) vs. Qlik Compose

August 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

12th

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

52nd

Average Rating

7.6

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of August 2026, in the Data Integration category, the mindshare of Oracle Data Integrator (ODI) is 2.6%, down from 4.2% 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)	2.6%
Qlik Compose	0.8%
Other	96.6%

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

"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."

"Rather than taking your production, or your business, and trying to make it fit a tool, you do the opposite; you make the tool fit your business."

"ODI is really the tool for any kind of integration because it speaks the language of the technology we connect."

"ODI's best features are customization, integration with other versioning tools, and the ability to define new knowledge modules."

"The product has an ELT approach."

"The CAEM is very useful in its modularity and portability."

"The user interface for the data integrator tool is probably the most valuable piece."

"It allows a single skill set to handle virtually all of the data transport and transformation needs of a company."

More Oracle Data Integrator (ODI) pros

"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."

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

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

"It is a scalable solution."

"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."

"It can scale."

"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."

More Qlik Compose pros

Cons

"It needs more robust functioning and ease-of-use for development using reusable jobs."

"A bit unstable and buggy in the 12.1.2 release, but most of it is fixed in 12.1.3, so I would definitely recommend to jump to that version."

"ETL process registry solution is missing."

"If there was an add-on tool to hide the performance issues and solve them for me, then I might be interested in that as it would provide me value."

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

"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."

"Oracle Data Integrator (ODI) is already good as a solution. Still, it needs some editing of its preview package, or if the package is upgraded, that will make Oracle Data Integrator (ODI) even better."

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

More Oracle Data Integrator (ODI) cons

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

"There could be more customization options."

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

"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."

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

"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."

"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."

More Qlik Compose cons

Pricing and Cost Advice

"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."

"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."

"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."

"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."

"The solution is very expensive."

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."

"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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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

14%

Government

Outsourcing Company

Manufacturing Company

Financial Services Firm

13%

Comms Service Provider

10%

Construction Company

10%

Manufacturing 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 23% of the time

Informatica PowerCenter vs Oracle Data Integrator (ODI)

Compared 5% of the time

SSIS vs Oracle Data Integrator (ODI)

Compared 4% of the time

SharePlex 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

AWS Database Migration Service vs Qlik Compose

Compared 9% of the time

SSIS vs Qlik Compose

Compared 8% of the time

Qlik Talend Cloud vs Qlik Compose

Compared 8% of the time

IBM Cloud Pak for Data vs Qlik Compose

Compared 3% of the time

More Qlik Compose Competitors

Product Reports

Buyer's Guide

Oracle Data Integrator (ODI)

July 2026

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Buyer's Guide

Qlik Compose

July 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

August 2026

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