Spring Cloud Data Flow vs Toad Data Point comparison

VMware and Quest Software are both solutions in the Data Integration category. VMware is ranked #24 with an average rating of 7.7, while Quest Software is ranked #29 with an average rating of 9.0. VMware holds a 1.1% mindshare in DI, compared to Quest Software’s 0.5% mindshare. Additionally, 88% of VMware users are willing to recommend the solution, compared to 100% of Quest Software users who would recommend it.

Spring Cloud Data Flow

Read 9 Spring Cloud Data Flow reviews

1,421 Views
1,057 Comparison Views

88% willing to recommend

Toad Data Point

Read 5 Toad Data Point reviews

559 Views
442 Comparison Views

100% willing to recommend

Spring Cloud Data Flow

Toad Data Point

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Dec 19, 2024

Toad Data Point and Spring Cloud Data Flow compete in the data management field. Toad Data Point appears to have the upper hand with its more affordable pricing and strong customer support.

Features: Toad Data Point offers robust data preparation, effortless data connectivity, and analytical capabilities, making it a powerful tool for business analysts. Spring Cloud Data Flow provides flexible microservices architecture, real-time data processing, and application orchestration.

Ease of Deployment and Customer Service: Toad Data Point delivers an intuitive setup experience with readily available customer support, catering to businesses needing rapid deployment. Spring Cloud Data Flow offers a more complex deployment due to its focus on cloud orchestration, requiring more advanced setup but benefiting larger-scale implementations.

Pricing and ROI: Toad Data Point offers a cost-effective pricing model, favorable for businesses prioritizing initial cost savings with a quick ROI due to its straightforward setup and use. Spring Cloud Data Flow requires a more substantial financial and time investment upfront, justified by its advanced features yielding longer-term ROI.

To learn more, read our detailed Spring Cloud Data Flow vs. Toad Data Point Report (Updated: April 2025).

Buyer's Guide

Spring Cloud Data Flow vs. Toad Data Point

April 2025

Download the complete report

Helped 850,028 peers since 2012

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

Spring Cloud Data Flow

Ranking in Data Integration

24th

Average Rating

7.8

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Streaming Analytics (9th)

Toad Data Point

Ranking in Data Integration

29th

Average Rating

9.0

Reviews Sentiment

7.6

Number of Reviews

Ranking in other categories

Data Preparation Tools (5th)

Mindshare comparison

As of May 2025, in the Data Integration category, the mindshare of Spring Cloud Data Flow is 1.1%, up from 0.9% compared to the previous year. The mindshare of Toad Data Point is 0.5%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration

Featured Reviews

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.

Read full review

Aaron Payne

ERP Manager at a tech services company with 5,001-10,000 employees

Offers power developers the tooling they need

I am not the end user of this solution. I am not close enough to it because I manage the platform that it runs against. The end users who use the Toad tool come against the database that my team manages, so it is hard for me to provide any area for improvement when it comes to the Toad tool. However, in the administration case, cost is a significant issue. The Mac license is incredibly expensive. It is 1,600 dollars each, which is more than the Windows version. Scalability is difficult when it is that costly.

Read full review

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 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."

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

"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 product is very user-friendly."

"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."

"We love it."

"I have never experienced any issues with customer service."

"The most valuable features of Toad Data are you could write a parameterized query and it wouldn't error out, it would give you the parameters that you could input. The auto-formatting feature is useful because it was great for keeping your queries neat and understandable. The auto comment, and uncomment toggles that you could do were convenient."

"With Toad Data Point, I can automate most steps automatically."

"The best thing about it is its automation features."

"It provides better SQL development tooling than SQL Developer, which is not a sufficient tool for all development use cases. It offers power developers the tools they need."

"The Connectivity and Connection Manager supports a broad number of connection types, and it is trivial for end-users to set up their own connections to sources."

"One of the greatest features is that you can get data from anywhere to anywhere with Toad Data Point."

Cons

"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."

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

"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 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."

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

"I used their report writing a little bit, however, it could improve since it's not a really good report writer and it's a little clunky."

"Toad Data could improve by having additional features, such as query prediction. This could help someone who's not the strongest programmer. If the software could help them write queries correctly it would be very helpful, especially for small development teams or teams that lack the input skills necessary to write and program efficiently."

"It's not user-friendly. Once you start using it, you eventually get to know the features."

"On the scheduling server, some scheduled reports just sit there and never execute for the first time. After manually executing the first time, they run with no issues."

"The Mac license is incredibly expensive. It is 1,600 dollars each, which is more than the Windows version."

"I used their report writing a little bit, however, it could improve since it's not a really good report writer and it's a little clunky."

"It's not user-friendly. Once you start using it, you eventually get to know the features."

"The Mac license is incredibly expensive. It is 1,600 dollars each, which is more than the Windows version. Scalability is difficult when it is that costly."

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."

"The price of Toad Data Point was approximately $500 annually."

"The cost of this product is reasonable."

"The Mac licenses are expensive, costing 1,600 dollars each. This is much higher than for the Windows version. I maintain a very limited number of licenses due to this cost."

See which vendors are best for you

Use our free recommendation engine to learn which Data Integration solutions are best for your needs.

See recommendations

850,028 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

26%

Computer Software Company

18%

Retailer

Healthcare Company

Financial Services Firm

36%

Healthcare Company

13%

Government

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

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

What is your experience regarding pricing and costs for Toad Data Point?

The pricing for Toad Data Point is where it gets into trouble. Microsoft is free, so if you get SQL Server, you get all the other stuff with it. You have to use several Microsoft tools that don't a...

See all answers

What needs improvement with Toad Data Point?

I used their report writing a little bit, however, it could improve since it's not a really good report writer and it's a little clunky.

See all answers

What is your primary use case for Toad Data Point?

When I use it, I'm using it for writing SQL or testing SQL code. I used to use it for moving data, loading files into database tables, from tables to other tables.

See all answers

Comparisons

Apache Flink vs Spring Cloud Data Flow

Compared 42% of the time

TIBCO BusinessWorks vs Spring Cloud Data Flow

Compared 11% of the time

Google Cloud Dataflow vs Spring Cloud Data Flow

Compared 7% of the time

Apache Spark Streaming vs Spring Cloud Data Flow

Compared 5% of the time

MuleSoft Anypoint Platform vs Spring Cloud Data Flow

Compared 5% of the time

More Spring Cloud Data Flow Competitors

Alteryx vs Toad Data Point

Compared 23% of the time

WhereScape RED vs Toad Data Point

Compared 18% of the time

Teradata vs Toad Data Point

Compared 16% of the time

Oracle Data Integrator (ODI) vs Toad Data Point

Compared 14% of the time

SSIS vs Toad Data Point

Compared 14% of the time

More Toad Data Point Competitors

Product Reports

Buyer's Guide

Spring Cloud Data Flow

April 2025

Download Spring Cloud Data Flow product report

Buyer's Guide

Toad Data Point

April 2025

Download Toad Data Point product report

Overview

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

Toad Data Point is a cross-platform, self-service, data-integration tool that simplifies data access, preparation and provisioning. It provides nearly limitless data connectivity, desktop data integration, visual query building and workflow automation.

Quest Software

Sample Customers

Information Not Available

Concordia University

Buyer's Guide

Spring Cloud Data Flow vs. Toad Data Point

April 2025

Free Report: Spring Cloud Data Flow vs. Toad Data Point

Find out what your peers are saying about Spring Cloud Data Flow vs. Toad Data Point and other solutions. Updated: April 2025.

DOWNLOAD NOW

850,028 professionals have used our research since 2012.

See our Spring Cloud Data Flow vs. Toad Data Point report.

See our list of best Data Integration vendors.

We monitor all Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.