Oracle Data Integrator (ODI) vs Spring Cloud Data Flow comparison

Why PeerSpot?

Oracle and Broadcom are both solutions in the Data Integration category. Oracle is ranked #14 with an average rating of 7.7, while Broadcom is ranked #33 with an average rating of 8.0. Oracle holds a 3.0% mindshare in DI, compared to Broadcom’s 1.1% mindshare. Additionally, 84% of Oracle users are willing to recommend the solution, compared to 88% of Broadcom users who would recommend it.

Oracle Data Integrator (ODI)

Read 73 Oracle Data Integrator (ODI) reviews

15,639 Views
9,853 Comparison Views

84% willing to recommend

Spring Cloud Data Flow

Read 9 Spring Cloud Data Flow reviews

5,525 Views
3,205 Comparison Views

88% willing to recommend

Oracle Data Integrator (ODI)

Spring Cloud Data Flow

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Executive SummaryUpdated on Nov 8, 2026

Oracle Data Integrator (ODI) and Spring Cloud Data Flow compete in the data integration space. Spring Cloud Data Flow seems to have the upper hand due to its flexibility and microservice support.

Features: Oracle Data Integrator offers comprehensive ELT functions, integration flexibility, and high customization through Knowledge Modules. Spring Cloud Data Flow provides integration with different batch data sources, real-time streaming support, and ease of deployment on Kubernetes.

Room for Improvement: Oracle Data Integrator could be more user-friendly with improved error handling and reduced complexity. Spring Cloud Data Flow can enhance its user interface, community support, and documentation accuracy.

Ease of Deployment and Customer Service: Oracle Data Integrator is flexible with deployment across various environments, with generally good customer service. Spring Cloud Data Flow supports microservices orchestration in different setups and delivers functional customer service with room for improvement.

Pricing and ROI: Oracle Data Integrator offers a mid-tier cost with various licensing options, considered valuable for data management. Spring Cloud Data Flow is open-source, offering significant ROI due to lower upfront costs, although additional support incurs costs.

To learn more, read our detailed Oracle Data Integrator (ODI) vs. Spring Cloud Data Flow Report (Updated: November 2026).

Buyer's Guide

Oracle Data Integrator (ODI) vs. Spring Cloud Data Flow

November 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

14th

Average Rating

8.0

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

No ranking in other categories

Spring Cloud Data Flow

Ranking in Data Integration

33rd

Average Rating

7.8

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Streaming Analytics (17th)

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 Spring Cloud Data Flow is 1.1%, 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)	3.0%
Spring Cloud Data Flow	1.1%
Other	95.9%

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.

Read full review

NitinGoyal

Engineering Lead at Naukri.com

Has a plug-and-play model and provides good robustness and scalability

The solution's community support could be improved. I don't know why the Spring Cloud Data Flow community is not very strong. Community support is very limited whenever you face any problem or are stuck somewhere. I'm not sure whether it has improved in the last six months because this pipeline was set up almost two years ago. I struggled with that a lot. For example, there was limited support whenever I got an exception and sought help from Stack Overflow or different forums. Interacting with Kubernetes needs a few certificates. You need to define all the certificates within your application. With the help of those certificates, your Java application or Spring Cloud Data Flow can interact with Kubernetes. I faced a lot of hurdles while placing those certificates. Despite following the official documentation to define all the replicas, readiness, and liveliness probes within the Spring Cloud Data Flow application, it was not working. So, I had to troubleshoot while digging in and debugging the internals of Spring Cloud Data Flow at that time. It was just a configuration mismatch, and I was doing nothing weird. There was a small spelling difference between how Spring Cloud Data Flow was expecting it and how I passed it. I was just following the official documentation.

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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 think that ODI is one of the most complete and open solutions, since it can work with almost any technology and it gives you the ability to develop the same solution in a wide variety of ways depending on the one you prefer."

"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."

"Easy to understand, very developer-friendly, and has a big forum community and lots of documentation for support."

"The most valuable feature is Data movement."

"Oracle provides strong support. I can get solutions quickly, and any tickets I submit to Oracle are responded to and resolved rapidly."

"ODI is a great ETL tool that you can use for implementation."

"I like that Oracle Data Integrator (ODI) has a straightforward setup and offers good technical support."

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

More Oracle Data Integrator (ODI) pros

"The best thing I like about Spring Cloud Data Flow is its plug-and-play model."

"The dashboards in Spring Cloud Dataflow are quite valuable."

"The product is very user-friendly."

"This product will assist us in saving costs in many ways: No longer need to continue paying high fees for proprietary software, reduce the number of software engineers needed to support the product, and achieve faster time to market by using this product for our middleware."

"The ease of deployment on Kubernetes, the seamless integration for orchestration of various pipelines, and the visual dashboard that simplifies operations even for non-specialists such as quality analysts."

"Overall, Spring Cloud Data Flow is a really good solution and a lot cheaper than a lot of infrastructure provided by big companies like Google or Amazon."

"The solution's most valuable feature is that it allows us to use different batch data sources, retrieve the data, and then do the data processing, after which we can convert and store it in the target."

"The most valuable feature is real-time streaming."

More Spring Cloud Data Flow pros

Cons

"The stability of the ODI studio is not strong enough. It crashes occasionally."

"The technical support for EPM is bad."

"The price needs to be lowered. It's too expensive."

"The user interface is a little slow."

"Perhaps more learning resources related to ODI would be helpful."

"If you are applying it on more clients, it becomes a thick client because to have the client installed, it needs memory from the desktops."

"Customer service 5/10 - Technical support needs to be improved."

"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."

More Oracle Data Integrator (ODI) cons

"The configurations could be better. Some configurations are a little bit time-consuming in terms of trying to understand using the Spring Cloud documentation."

"There were instances of deployment pipelines getting stuck, and the dashboard not always accurately showing the application status, requiring manual intervention such as rerunning applications or refreshing the dashboard."

"Spring Cloud Data Flow could improve the user interface. We can drag and drop in the application for the configuration and settings, and deploy it right from the UI, without having to run a CI/CD pipeline. However, that does not work with Kubernetes, it only works when we are working with jars as the Spring Cloud Data Flow applications."

"Some of the features, like the monitoring tools, are not very mature and are still evolving."

"The documentation on offer is not that good."

"I would improve the dashboard features as they are not very user-friendly."

"The solution's community support could be improved."

"The visual user interface could use some help; it needs improvement."

More Spring Cloud Data Flow cons

Pricing and Cost Advice

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

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

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

"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 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."

"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."

More Oracle Data Integrator (ODI) pricing and cost advice

"If you want support from Spring Cloud Data Flow there is a fee. The Spring Framework is open-source and this is a free solution."

"The solution provides value for money, and we are currently using its community edition."

"This is an open-source product that can be used free of charge."

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Comparison Review

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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%

Outsourcing Company

10%

Manufacturing Company

Government

Financial Services Firm

15%

Outsourcing Company

Computer Software 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	1
Large Enterprise	5

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).

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What needs improvement with Spring Cloud Data Flow?

There were instances of deployment pipelines getting stuck, and the dashboard not always accurately showing the application status, requiring manual intervention such as rerunning applications or r...

See all answers

What is your primary use case for Spring Cloud Data Flow?

We had a project for content management, which involved multiple applications each handling content ingestion, transformation, enrichment, and storage for different customers independently. We want...

See all answers

What advice do you have for others considering Spring Cloud Data Flow?

I would definitely recommend Spring Cloud Data Flow. It requires minimal additional effort or time to understand how it works, and even non-specialists can use it effectively with its friendly docu...

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 5% of the time

SharePlex vs Oracle Data Integrator (ODI)

Compared 4% of the time

SSIS vs Oracle Data Integrator (ODI)

Compared 4% of the time

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

Compared 3% of the time

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Apache Flink vs Spring Cloud Data Flow

Compared 6% of the time

TIBCO Spotfire vs Spring Cloud Data Flow

Compared 6% of the time

Cloudera DataFlow vs Spring Cloud Data Flow

Compared 5% of the time

StreamSets vs Spring Cloud Data Flow

Compared 4% of the time

WSO2 Enterprise Integrator vs Spring Cloud Data Flow

Compared 3% of the time

More Spring Cloud Data Flow Competitors

Product Reports

Buyer's Guide

Oracle Data Integrator (ODI)

October 2026

Download Oracle Data Integrator (ODI) product report

Buyer's Guide

Spring Cloud Data Flow

October 2026

Download Spring Cloud Data Flow product report

Also Known As

ODI

No data available

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

Spring Cloud Data Flow is a toolkit for building data integration and real-time data processing pipelines.
Pipelines consist of Spring Boot apps, built using the Spring Cloud Stream or Spring Cloud Task microservice frameworks. This makes Spring Cloud Data Flow suitable for a range of data processing use cases, from import/export to event streaming and predictive analytics. Use Spring Cloud Data Flow to connect your Enterprise to the Internet of Anything—mobile devices, sensors, wearables, automobiles, and more.

Broadcom

Sample Customers

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

Information Not Available

Buyer's Guide

Oracle Data Integrator (ODI) vs. Spring Cloud Data Flow

November 2026

Free Report: Oracle Data Integrator (ODI) vs. Spring Cloud Data Flow

Find out what your peers are saying about Oracle Data Integrator (ODI) vs. Spring Cloud Data Flow and other solutions. Updated: November 2026.

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