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SAP Process Orchestration vs Spring Cloud Data Flow 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

SAP Process Orchestration
Average Rating
8.2
Reviews Sentiment
7.2
Number of Reviews
32
Ranking in other categories
Business-to-Business Middleware (2nd)
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)
 

Mindshare comparison

SAP Process Orchestration and Spring Cloud Data Flow aren’t in the same category and serve different purposes. SAP Process Orchestration is designed for Business-to-Business Middleware and holds a mindshare of 9.0%, down 13.7% compared to last year.
Spring Cloud Data Flow, on the other hand, focuses on Data Integration, holds 1.1% mindshare, up 0.8% since last year.
Business-to-Business Middleware
Data Integration
 

Featured Reviews

Laxman  Molugu - PeerSpot reviewer
Enhances operational efficiency with valuable prepackaged content and cost-effective pricing
For organizations that operate within an SAP ecosystem, SAP Process Orchestration is recommended due to its cost-effectiveness and the availability of valuable prepackaged content. It is important to consider the needs of your industry, as SAP Process Orchestration may not meet all requirements in consumer-oriented sectors. I'd rate the solution eight out of ten.
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.

Quotes from Members

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

Pros

"The standard adapter with EBA abilities is the most valuable feature. It has good process integration."
"I rate the product's setup phase a nine on a scale of one to ten, where one is difficult and ten is easy since it is a very easy process."
"Great monitoring tools and has its own alert framework."
"It is a scalable solution."
"The solution is stable."
"It is simple to transfer files."
"In my opinion, SAP PO is the most mature suite of tools to integrate processes across SAP environments at this moment. It's really unbeatable because it allows you to integrate whatever scenarios you can imagine."
"The solution offers very good documentation and manuals to assist with understanding the solution."
"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 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 most valuable feature is real-time streaming."
"The best thing I like about Spring Cloud Data Flow is its plug-and-play model."
"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."
 

Cons

"The solution could improve by making it more user-friendly by limiting the code required. We have to add some code in some cases where we need complex logic or some other functions. If this was able to be done in a more simplified manner then it would save a lot of effort and time."
"It's very difficult to find errors in a simple way."
"Its administration management feature needs to be simpler to use."
"There are two main areas for improvement: performance and cost."
"The responsiveness of technical support needs to be improved."
"It would be beneficial to enhance the ease of implementing new projects and improve overall stability in our implementations."
"The cloud capability features need improvement."
"I feel that support is an area that needs improvement. They need to improve the response time and address the customer's issues as soon as possible."
"Spring Cloud Data Flow is not an easy-to-use tool, so improvements are required."
"Some of the features, like the monitoring tools, are not very mature and are still evolving."
"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 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."
"I would improve the dashboard features as they are not very user-friendly."
"The configurations could be better. Some configurations are a little bit time-consuming in terms of trying to understand using the Spring Cloud documentation."
 

Pricing and Cost Advice

"Looking at market conditions, vendors nowadays are giving products at very low price levels. However, SAP Process Orchestration have not yet reduced their prices. The prices could be reduced a lot to stay competitive."
"It is a very expensive solution. We only pay for the license."
"Normally, you will have to choose CPU-based licensing...I rate the tool price a five out of ten."
"It's not an expensive solution."
"We subscribe to annual licenses, and the competitive license cost is reasonable."
"My company deals with different pricing models of the product, according to which we don't pay for the solution directly, but we do pay for the maintenance part."
"The solution is highly-priced."
"The cost of SAP products is quite high but the quality is really good."
"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
Manufacturing Company
18%
Computer Software Company
15%
Financial Services Firm
7%
Energy/Utilities Company
6%
Financial Services Firm
25%
Computer Software Company
18%
Manufacturing Company
7%
Retailer
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about SAP Process Orchestration?
It provides essential features such as continuous monitoring of all interfaces are crucial for our needs.
What is your experience regarding pricing and costs for SAP Process Orchestration?
The main concern is the cost. If additional help is needed due to lack of skill, we have to pay for SAP support.
What needs improvement with SAP Process Orchestration?
There are two main areas for improvement: performance and cost. The cost is quite high, and if it were reduced, it might also improve the performance, potentially allowing us to access a more effic...
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...
 

Also Known As

SAP NetWeaver Process Integration, NetWeaver Process Integration
No data available
 

Overview

 

Sample Customers

Lenovo, Dansk Supermarked A/S, Ego Pharmaceuticals Pty. Ltd, Kaeser Kompressoren
Information Not Available
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