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

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

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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

8th

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

30th

Average Rating

7.8

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Streaming Analytics (16th)

Mindshare comparison

As of May 2026, in the Data Integration category, the mindshare of Oracle Data Integrator (ODI) is 2.5%, down from 4.5% compared to the previous year. The mindshare of Spring Cloud Data Flow is 1.1%, up 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%
Spring Cloud Data Flow	1.1%
Other	96.4%

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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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

"ODI's most valuable features are it utilizes the database engine and is very lightweight."

"The most valuable feature that we use is the Knowledge Modules."

"For the EPM environment, the ODI is the key to transforming a good project into a great project."

"The installation of the client ODI Studio is easy."

"The most valuable features of ODI are the ease of development, you can have a template, and you can onboard transfer very quickly."

"ODI significantly improves data integration and management by allowing customization of data types from various sources like SQL Server databases."

"It is an ETL tool, which does the extract, transform, and load."

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

More Oracle Data Integrator (ODI) pros

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

"There are a lot of options in Spring Cloud. It's flexible in terms of how we can use it. It's a full infrastructure."

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

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

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

"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."

"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."

More Spring Cloud Data Flow pros

Cons

"Reverse engineering is complicated and challenging to manage."

"First, it needs better error handling (i.e. messages, debugging). Second, it also needs the ability to perform more complex interfaces (i.e. multiple sources to targets)."

"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."

"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."

"Oracle support services are not up to the mark."

"It's quite an expensive solution. We'd like it if they could adjust the pricing according to the region they are operating in."

"It is still not as stable as the old BI Apps and ELT tools were, but it's getting there."

"It used to crash with large datasets."

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."

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

"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."

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

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

"Spring Cloud Data Flow is not an easy-to-use tool, so improvements are required."

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

"On the tool's online discussion forums, you may get stuck with an issue, making it an area where improvements are required."

More Spring Cloud Data Flow cons

Pricing and Cost Advice

"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."

"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."

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

"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."

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

"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."

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

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

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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

Comms Service Provider

Financial Services Firm

18%

Computer Software Company

10%

Retailer

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	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...

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...

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

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

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...

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...

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...

Oracle Integration Cloud Service vs Oracle Data Integrator (ODI)

Comparisons

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

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

Apache Flink vs Spring Cloud Data Flow

Compared 13% of the time

TIBCO BusinessWorks vs Spring Cloud Data Flow

Compared 5% of the time

Apache Spark Streaming vs Spring Cloud Data Flow

Compared 4% of the time

WSO2 Enterprise Integrator vs Spring Cloud Data Flow

Compared 4% of the time

StreamSets vs Spring Cloud Data Flow

Compared 4% of the time

More Spring Cloud Data Flow Competitors

Product Reports

Oracle Data Integrator (ODI)

Download Oracle Data Integrator (ODI) product report

Spring Cloud Data Flow

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

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