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Spring Cloud Data Flow vs Workato comparison

 

Comparison Buyer's Guide

Executive Summary

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
Average Rating
7.8
Reviews Sentiment
6.8
Number of Reviews
9
Ranking in other categories
Data Integration (22nd), Streaming Analytics (9th)
Workato
Average Rating
8.4
Reviews Sentiment
7.1
Number of Reviews
17
Ranking in other categories
Integration Platform as a Service (iPaaS) (7th)
 

Mindshare comparison

Spring Cloud Data Flow and Workato aren’t in the same category and serve different purposes. Spring Cloud Data Flow is designed for Data Integration and holds a mindshare of 1.2%, up 0.9% compared to last year.
Workato, on the other hand, focuses on Integration Platform as a Service (iPaaS), holds 4.7% mindshare, up 4.2% since last year.
Data Integration
Integration Platform as a Service (iPaaS)
 

Featured Reviews

NitinGoyal - PeerSpot reviewer
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.
Rohit Sircar - PeerSpot reviewer
Great automation and strong workflows useful for integration
The initial setup is quite straightforward. When connecting Workato with your on-premises system, you have to install the Workato agent on your network. It was not complex but a long process to configure and settle. Workato has not gone live for us yet, so only the developers are currently using it. But in terms of users, we will have close to 250 and maybe 30 additional direct users. We are seeing a lot of different use cases where we can add new recipes because we started small, and there are many different areas where we can implement Workato for automation.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"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 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 dashboards in Spring Cloud Dataflow are quite valuable."
"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 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."
"Workato is low code, intuitive, and easy to use."
"Moreover, AI automation simplifies integration development by understanding requirements from prompts and creating the necessary automation."
"I definitely recommend Workato to others; it is the best product in our technology stack, allowing us to integrate legacy systems and address diverse requirements."
"The most valuable features are easy integration, quick tab to develop, quick tab to market, and interactive integration platform."
"It is easier to use than other technical open-source technologies."
"Workato is less expensive and offers similar integration capabilities."
"I would recommend Workato because everyone is moving away from writing extensive code."
"Workato reduces total development time as it generates code seamlessly and integrates with SQL databases or APIs through configuration."
 

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 solution's community support could be improved."
"On the tool's online discussion forums, you may get stuck with an issue, making it an area where improvements are required."
"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."
"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."
"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 management dashboard in the solution is an area with shortcomings that needs improvement."
"Workato's Extract, transform, and load (ETL) and extract, load, and transform (ELT) are not very strong and could be improved for very complex transformations."
"Integrating on-prem applications is challenging, even though they have an on-prem agent."
"I would like to see the dashboarding and reporting processes improved."
"Currently, Workato is a low-code platform without native programming capabilities. I would appreciate having a dedicated programming language for tasks like transformations and functional programming."
"From a technical standpoint, the security features at the data orchestration level could be more organized, and improvements in certificate management are necessary."
"Workato could be improved by adding a proper debugging feature. Currently, there's no way to set breakpoints to stop the process and debug an error as you can in other tools like webMethods."
"The Electronic Data Interchange (EDI) capabilities could be improved."
 

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."
"Workato is an expensive solution."
"Speaking about price, I would say that it's market-related. Also, there are costs in addition to the standard license fees since different add-ons depend on what you require."
"On a scale of one to ten, the pricing is around a six. We have a consumption model and the pricing is higher. If you are using any kind of ML-based approach, machine learning, or some advanced analytics, you may have to pay more."
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Top Industries

By visitors reading reviews
Financial Services Firm
27%
Computer Software Company
18%
Retailer
7%
Manufacturing Company
6%
Educational Organization
25%
Financial Services Firm
10%
Computer Software Company
10%
Manufacturing Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

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...
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...
What do you like most about Workato?
Workato is low code, intuitive, and easy to use.
What needs improvement with Workato?
Currently, Workato is a low-code platform without native programming capabilities. I would appreciate having a dedicated programming language for tasks like transformations and functional programmi...
What is your primary use case for Workato?
I am an integration consultant, and I use Workato ( /products/workato-reviews ) for integration. Recently, one of my clients wanted to migrate from using Workato ( /products/workato-reviews ) to an...
 

Overview

 

Sample Customers

Information Not Available
Panera Bread, Berkshire Hathaway, Salesforce, Box, Splunk, ComScore, IBM, Complex Media, Microsoft, Home Depot, Cisco, News Corp, Braille Institute
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