Oracle Data Integrator Cloud Service vs Spring Cloud Data Flow comparison

The compared Oracle and VMware solutions aren't in the same category. Oracle is ranked #20 in CDI , with an average rating of 9.0, and holds a 0.4% mindshare in the category. VMware is ranked #21 in DI , with an average rating of 7.8, and holds a 1.2% mindshare. Additionally, 100% of Oracle users are willing to recommend the solution, compared to 88% of VMware users who would recommend it.

Oracle Data Integrator Clou...

Read 7 Oracle Data Integrator Cloud Service reviews

102 Views
25 Comparison Views

100% willing to recommend

Spring Cloud Data Flow

Read 9 Spring Cloud Data Flow reviews

1,281 Views
901 Comparison Views

88% willing to recommend

Oracle Data Integrator Clou...

Spring Cloud Data Flow

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Executive Summary

We performed a comparison between Oracle Data Integrator Cloud Service and Spring Cloud Data Flow based on real PeerSpot user reviews.

Find out in this report how the two Cloud Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Oracle Data Integrator Cloud Service vs. Spring Cloud Data Flow Report (Updated: August 2022).

Buyer's Guide

Oracle Data Integrator Cloud Service vs. Spring Cloud Data Flow

August 2022

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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 Clou...

Average Rating

8.0

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Cloud Data Integration (20th)

Spring Cloud Data Flow

Average Rating

7.8

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Data Integration (21st), Streaming Analytics (9th)

Mindshare comparison

While both are Data Integration and Access solutions, they serve different purposes. Oracle Data Integrator Cloud Service is designed for Cloud Data Integration and holds a mindshare of 0.4%, up 0.2% compared to last year.
Spring Cloud Data Flow, on the other hand, focuses on Data Integration, holds 1.2% mindshare, up 0.9% since last year.

Cloud Data Integration

Data Integration

Featured Reviews

Peeyush Chouksey

Associate Manager at Accenture

Allows us to integrate different cloud services with different applications

It's lacking a lot of mapping features that Oracle OSB and SOA have. It needs to evolve a lot. When it comes to mapping, you are quite restricted. If you have to use a specific, typical function, you need to do a Java callout or something. OSB has a lot of features they are using like Java APIs because it's on-premises.

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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

"The most valuable thing to me is its simplicity. A person with zero knowledge can also develop the integration without having extensive technology knowledgebase. They can also work on creating their own integration."

"Oracle integration cloud has got the adapters for all their products, which makes integration faster."

"It's on the cloud, so it's scalable and quite easy to work with."

"Oracle Data Integrator helps us build tables and data marts and allows us to schedule them daily, for nearly real-time data warehousing."

"Having a single vendor supporting the entire suite of applications."

"The solution is easy to manage and offers good integration. You can run all the tasks one by one which is really helpful, and pick the day and time to do so."

"The data is stored in the cloud, making it easy to download data simultaneously into multiple smaller servers, effectively downsizing the process."

"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 features of Spring Cloud Data Flow are the simple programming model, integration, dependency Injection, and ability to do any injection. Additionally, auto-configuration is another important feature because we don't have to configure the database and or set up the boilerplate in the database in every project. The composability is good, we can create small workloads and compose them in any way we like."

"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."

"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 most valuable feature is real-time streaming."

"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."

"The product is very user-friendly."

Cons

"It can be made much easier for users. They should be allowed to easily monitor the data extraction and flow, allowing them to observe real-time data flow within the software, making the process straightforward."

"I would like to see different cloud adapters or connectors in case of integration. When you have Oracle to Oracle, they are good. They have really good connectors, but if it is a different ERP, like Obsidian, that is where they are faced with problems in OIC."

"Bulk uploading can be a problem when you hit the upper limit."

"I've found technical support not very effective. They should work to improve their services."

"The pricing could be more competitive."

"This is an expensive solution compared to other products on the market."

"It's lacking a lot of mapping features that Oracle OSB and SOA have. It needs to evolve a lot."

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

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

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

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

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

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

"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."

"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."

Pricing and Cost Advice

"The price is competitive compared to Boomi which is much higher."

"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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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

26%

Computer Software Company

17%

Retailer

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

What do you like most about Oracle Data Integrator Cloud Service?

The data is stored in the cloud, making it easy to download data simultaneously into multiple smaller servers, effectively downsizing the process.

See all answers

What needs improvement with Oracle Data Integrator Cloud Service?

It can be made much easier for users. They should be allowed to easily monitor the data extraction and flow, allowing them to observe real-time data flow within the software, making the process str...

See all answers

What is your primary use case for Oracle Data Integrator Cloud Service?

I have experience working with Korean Telecom (Katie) on various projects involving data integration, especially with Oracle databases. These projects included tasks such as data collection, ETL (E...

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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...

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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

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Product Reports

Buyer's Guide

Oracle Data Integrator Cloud Service

June 2025

Oracle Data Integrator Cloud Service report

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Buyer's Guide

Spring Cloud Data Flow

June 2025

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Overview

Oracle Data Integrator Cloud Service provides pushdown data processing; high performance ETL with less data movement which is best for the Cloud. Oracle Data Integrator Cloud Service executes data transformations where the data lies without having to copy data unnecessarily to remote locations.

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.

VMware

Sample Customers

Amplifon

Information Not Available

Buyer's Guide

Oracle Data Integrator Cloud Service vs. Spring Cloud Data Flow

August 2022

Free Report: Oracle Data Integrator Cloud Service vs. Spring Cloud Data Flow

Find out what your peers are saying about Oracle Data Integrator Cloud Service vs. Spring Cloud Data Flow and other solutions. Updated: August 2022.

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