Denodo vs Spring Cloud Data Flow comparison

Why PeerSpot?

Denodo and Broadcom are both solutions in the Data Integration category. Denodo is ranked #10 with an average rating of 8.6, while Broadcom is ranked #32 with an average rating of 8.0. Denodo holds a 1.4% mindshare in DI, compared to Broadcom’s 1.0% mindshare. Additionally, 95% of Denodo users are willing to recommend the solution, compared to 88% of Broadcom users who would recommend it.

Denodo

Read 42 Denodo reviews

9,780 Views
4,988 Comparison Views

95% willing to recommend

Spring Cloud Data Flow

Read 9 Spring Cloud Data Flow reviews

5,078 Views
2,894 Comparison Views

88% willing to recommend

Denodo

Spring Cloud Data Flow

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 19, 2024

Denodo and Spring Cloud Data Flow compete in the data integration and cloud services category. Denodo has the upper hand in data virtualization due to its comprehensive integration capabilities and robust data catalog, while Spring Cloud Data Flow stands out for its real-time streaming and microservices orchestration.

Features: Denodo excels in data virtualization, provides strong data abstraction, and facilitates robust data catalog management. Spring Cloud Data Flow is noted for real-time streaming capabilities, seamless microservices orchestration, and its ease of use with a plug-and-play model.

Room for Improvement: Denodo needs to enhance its data catalog functionality, the user interface, and connectivity issues. Spring Cloud Data Flow requires improvements in community support, documentation, and user interface for deployment processes.

Ease of Deployment and Customer Service: Denodo offers on-premises, hybrid, and cloud deployment options with broad technical support. Spring Cloud Data Flow provides on-premises and private cloud deployments and is commended for its responsive technical support despite occasional gaps.

Pricing and ROI: Denodo's pricing is high but is viewed as justifiable due to performance improvements and positive ROI within six months. Spring Cloud Data Flow, as an open-source solution, offers cost advantages with additional expenses only for support, making it suitable for budget-conscious users.

To learn more, read our detailed Denodo vs. Spring Cloud Data Flow Report (Updated: September 2026).

Buyer's Guide

Denodo vs. Spring Cloud Data Flow

September 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

Denodo

Ranking in Data Integration

10th

Average Rating

8.0

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Data Virtualization (1st), Cloud Data Integration (8th), Data Management Platforms (DMP) (5th), AI Data Analysis (2nd)

Spring Cloud Data Flow

Ranking in Data Integration

32nd

Average Rating

7.8

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Streaming Analytics (18th)

Mindshare comparison

As of October 2026, in the Data Integration category, the mindshare of Denodo is 1.4%, down from 1.7% compared to the previous year. The mindshare of Spring Cloud Data Flow is 1.0%, down from 1.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Mindshare Distribution
Product	Mindshare (%)
Denodo	1.4%
Spring Cloud Data Flow	1.0%
Other	97.6%

Data Integration

Featured Reviews

Douglas Camargo

Senior Backend Engineer at a pharma/biotech company with 51-200 employees

Has simplified multi-database querying and accelerated solution delivery with minimal setup

Denodo offers a great query language, the VQL, which was very easy to understand for someone that only knows SQL. It was easy to work with, and it was easy to integrate various types of databases in general. The usability of the platform is very great. The federated queries were also a feature that I used a lot. The easy usability of Denodo helped my work and made things easier for productivity. We were able to ship code faster than if we needed to use another type of data visualization tool or even an ETL. When we have multiple databases, the standard or common approach is just to have an ETL that matches the data, and we need to write this whole ETL. With Denodo, we can simplify this whole work to a few queries or setups in the databases and just make a few queries. This was actually easier, and it was faster to deliver a solution for a client instead of building a whole ETL pipeline or simply backfilling one database in another. Denodo simplifies your work and helps you ship code or ship solutions in a faster way. I really like the UI that Denodo has on the web app version. It was very simple and actually very beautiful to see. For a complicated program, it was very easy to understand how it works, even for someone who is just approaching the data engineering career or side of the programming language.

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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 logical data warehouse functionality is fantastic. It truly stands out. The ClearOptimizer and Virtual Cache are great features. They work together seamlessly to optimize performance."

"Data mining is one of the valuable features. We're able to connect all of the data sources with the installed driver, so that is a good advantage in Denodo. Being able to join the tables and view them is also valuable."

"This solution is a really good way to get all your sources organized when there are data problems and things are scattered everywhere."

"The data abstraction is the most valuable feature."

"Denodo creates a virtualized environment that provides one unified destination for all data sources so that AI and ML algorithms can connect to that virtualized destination without needing to establish connections with multiple data sources."

"Compared to these old solutions, Denodo is very easy to work with for the analytical team."

"Denodo's best features are its performance, easy data transformation, and the job scheduler."

"In PL/SQL, first you need to gather all the data and then start writing the file, but in Denodo you fetch the data and write the data simultaneously. So, for example, if you have 1 million or 2 million records, you don't have to wait to fetch all of the 2 million; you can keep on fetching and writing in the file simultaneously."

More Denodo pros

"The product is very user-friendly."

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

"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."

"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."

"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."

More Spring Cloud Data Flow pros

Cons

"We would like this solution to be more universally user-friendly. At present it is really only aimed at IT specialists."

"While AI and ML integration is present, understanding its implementation better could be beneficial."

"Monitoring event logs can be improved. In the older version, there was a monitoring schedule to get event reports and properly audit the reports. In the newer version, it is not there, and we have to manually configure data and audit events."

"I would like to see a connectivity option with third-party apps, for example, JDBC, and ODBC drivers. Currently, we need to install it separately from the Denodo side and then connect it."

"Don't have too high expectations on data catalog functionality. It works, but, its current implementation is rather rudimental."

"Documentation needs to be improved, they need to lift their game."

"Denodo can improve usage management-related aspects. If you deal with the mini views, it gets stuck. The performance is very slow when we go with a large number of views and high volume."

"User-specific security at the column and row levels needs to be improved."

More Denodo cons

"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 documentation on offer is not that good."

"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."

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

"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."

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

More Spring Cloud Data Flow cons

Pricing and Cost Advice

"I am not super familiar with the pricing, but so far, it seems good. We have been happy. We haven't seen any problems. The only time we had to pay extra was during the upgrade. We didn't upgrade at the time they told us to upgrade, and we had to pay extra to keep the service. They had stopped the support for the older version and moved to the newer version. It was not their fault. It was our fault because we didn't get on board quickly."

"The licensing should be improved, as the cost per connector is quite expensive."

"Talking with my manager and others, nobody has complained about the pricing so far which is a positive sign."

"Cost wise, on a scale from one to five, with one being the cheapest and five being the most expensive, Denodo would be at three. We get all the features in a bundle."

"The pricing is pretty good, and I would rate it at four out of five."

"For us, the cost has been okay. Also, there are no additional costs; it's just the standard licensing fee."

"I don't know the actual cost, but it's tens of thousands of dollars per month."

"Denodo provides a lightweight 30-day free trial, but when we do courses on top of it, it costs $150 for each person."

More Denodo 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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Top Industries

By visitors reading reviews

Financial Services Firm

20%

Manufacturing Company

14%

Government

Outsourcing Company

Financial Services Firm

16%

Computer Software Company

Outsourcing Company

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	17
Midsize Enterprise	6
Large Enterprise	20

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

Questions from the Community

Does Denodo provide useful data virtualization education? Is it useful to attend their training?

If you are a Denodo user, it makes sense to undergo their training. Different types of professionals can benefit from it, including administrators, developers, and architects. If you are keen on i...

See all answers

In experience, what might Denodo be lacking or need improvement on?

I like Denodo a lot. It offers quick and easy web service deployment within minutes. There are not any flaws that I think make the product less good or effective. The only thing I can point out is...

See all answers

Which industries can benefit from Denodo the most?

Denodo is suitable for pretty much all sectors that deal with: Big data Cloud solutions Data governance Logical data fabric Master data management In my opinion, organizations in different fields...

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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Compared 4% of the time

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Compared 4% of the time

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Product Reports

Buyer's Guide

Denodo

October 2026

Download Denodo product report

Buyer's Guide

Spring Cloud Data Flow

September 2026

Download Spring Cloud Data Flow product report

Also Known As

Denodo for AWS

No data available

Overview

Denodo specializes in data virtualization, data cataloging, and user-friendly interfaces. It's recognized for connecting disparate data sources, presenting unified data for analytics, and supporting efficient decision-making with agile analytics and robust data governance.

Denodo effectively aggregates data from multiple sources to offer a comprehensive understanding through its virtualization capabilities. It provides role-based access control, flexible query languages, performance optimization, and integration with databases. Enhancements are needed in its interface and documentation to ensure better user experiences. While the platform supports cloud migration, integration challenges with tools like Salesforce and MuleSoft exist. Improvements in data visualization, automation, and scalability, especially in large data environments, are critical areas for growth.

What are the key features of Denodo?

Data Virtualization: Connects diverse data sources to create a cohesive and unified view for robust analytics.
Data Cataloging: Efficiently organizes and makes data easily discoverable across the system.
Role-Based Access Control: Secures data by assigning roles and permissions to users.
Integration Capabilities: Seamlessly integrates with databases, optimizing performance and data management.
Lineage Tracing: Tracks data flow to enhance governance and compliance.

What benefits should users look for in Denodo reviews?

Enhanced Data Governance: Assists in maintaining compliance and regulatory requirements through robust security controls.
Improved Decision-Making: Offers agile analytics and real-time data access for informed choices.
Increased Efficiency: Provides self-service analytics and streamlined data handling to boost organizational productivity.

In industries like finance, healthcare, and retail, Denodo plays a crucial role in data virtualization and integration. Organizations use it to unify disparate data systems, enabling real-time analytics and supporting cloud migrations. Denodo's platform is ideal for businesses needing to aggregate, transform, and utilize diverse data efficiently, optimizing operations and enhancing governance.

Denodo

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

Autodesk, VHA, AAA, Sumitomo Mitsui Trust Bank, Caterpillar, European Chemical Agency, Seagate, Nationwide, Time Warner Cable, Pantex, Inditex, BNSF Railways, Vodafone, CIT Group, Jazztel, Wolters Kluwer, Telefonica, TransAlta

Information Not Available

Buyer's Guide

Denodo vs. Spring Cloud Data Flow

September 2026

Free Report: Denodo vs. Spring Cloud Data Flow

Find out what your peers are saying about Denodo vs. Spring Cloud Data Flow and other solutions. Updated: September 2026.

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