Oracle Data Integrator Cloud Service vs Spring Cloud Data Flow comparison

The compared Oracle and Broadcom solutions aren't in the same category. Oracle is ranked #21 in CDI , with an average rating of 9.0, and holds a 0.6% mindshare in the category. Broadcom 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 Broadcom users who would recommend it.

Oracle Data Integrator Clou...

Read 7 Oracle Data Integrator Cloud Service reviews

460 Views
147 Comparison Views

100% willing to recommend

Spring Cloud Data Flow

Read 9 Spring Cloud Data Flow reviews

3,168 Views
1,299 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 (21st)

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 0.6%, 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 Market Share Distribution
Product	Market Share (%)
Oracle Data Integrator Cloud Service	0.6%
AWS Glue	15.3%
AWS Database Migration Service	11.9%
Other	72.2%

Cloud Data Integration

Data Integration Market Share Distribution
Product	Market Share (%)
Spring Cloud Data Flow	1.2%
Informatica PowerCenter	6.3%
SSIS	5.9%
Other	86.6%

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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Alokik Gupta

Software Engineer at Tech Mahindra Limited

Effective microservice and task management but needs more dashboard features

The dashboards in Spring Cloud Dataflow are quite valuable. By injecting the dependency of Spring Cloud Dataflow into our Spring Boot application and annotating it with 'enable task annotation', we can manage tasks effectively. Additionally, the platform allows us to create pipelines and use microservices like a logical AND gate, giving us greater control over our microservices.

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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

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

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

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

"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."

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

"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 product is very user-friendly."

"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 most valuable feature is real-time streaming."

"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 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 dashboards in Spring Cloud Dataflow are quite valuable."

Cons

"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."

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

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

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

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

"The pricing could be more competitive."

"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."

"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."

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

"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."

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

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

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

Pricing and Cost Advice

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

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

"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."

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

24%

Computer Software Company

17%

Retailer

Insurance Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	3
Large Enterprise	4

By reviewers
Company Size	Count
Small Business	3
Midsize Enterprise	1
Large Enterprise	5

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...

See all answers

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

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Product Reports

Buyer's Guide

Oracle Data Integrator Cloud Service

August 2025

Oracle Data Integrator Cloud Service report

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Buyer's Guide

Spring Cloud Data Flow

August 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.

Broadcom

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

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