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MuleSoft Anypoint Platform 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

MuleSoft Anypoint Platform
Average Rating
8.0
Reviews Sentiment
6.7
Number of Reviews
59
Ranking in other categories
Message Queue (MQ) Software (4th), Business-to-Business Middleware (1st), Workload Automation (4th), Cloud Data Integration (4th), Integration Platform as a Service (iPaaS) (2nd)
Spring Cloud Data Flow
Average Rating
7.8
Reviews Sentiment
6.8
Number of Reviews
9
Ranking in other categories
Data Integration (21st), Streaming Analytics (10th)
 

Mindshare comparison

While both are Data Integration and Access solutions, they serve different purposes. MuleSoft Anypoint Platform is designed for Business-to-Business Middleware and holds a mindshare of 10.6%, down 14.0% compared to last year.
Spring Cloud Data Flow, on the other hand, focuses on Data Integration, holds 1.2% mindshare, up 1.0% since last year.
Business-to-Business Middleware Market Share Distribution
ProductMarket Share (%)
MuleSoft Anypoint Platform10.6%
IBM Sterling B2B Integration Services15.1%
webMethods.io11.9%
Other62.4%
Business-to-Business Middleware
Data Integration Market Share Distribution
ProductMarket Share (%)
Spring Cloud Data Flow1.2%
Informatica PowerCenter6.0%
SSIS5.7%
Other87.1%
Data Integration
 

Featured Reviews

Mohan BS - PeerSpot reviewer
A useful tool to integrate applications and for data transformations that need to improve in the area of price and support
The main area where improvements are required in the product revolves around budgeting. The cost of the product is an area of concern where improvements are required, especially when compared to other tools, like Dell Boomi or Oracle. Mule Anypoint Platform is made available with many components, and whether users use them or not depends on their choices. For example, though there is a tool called Anypoint MQ, our organization prefers to pay and use Kafka, as we don't want to use MuleSoft Anypoint MQ. In Mule Anypoint Platform, there needs to be proper segregation to help users identify what they need and don't need, making it an area where users need to be careful when opting for MuleSoft. Mule Anypoint Platform is an integration tool and not an ETL solution. When a user has to deal with a huge number of data, then Mule Anypoint Platform should not be a preferred choice since it can only be used for lightweight purposes revolving around APIs. There is a need to have a clear architectural decision made before opting for Mule Anypoint Platform. When there is a requirement for heavy data transformation, then users need to decide whether to go with Mule Anypoint Platform or any other platform available in the market. Though the tool comes with many useful components, it depends on whether the user plans to use all of its features. Recently, the product has come up with a new feature that is similar to an API catalog. MuleSoft had come up with the UAPIM feature almost eight months to a year ago, which had some concerns in the area of budgeting. Whether you build APIs using Javacore or any other tools, they can be cataloged using MuleSoft's UAPIM feature, for which users need to pay an extra amount, making it an area of concern for users. It would be great if MuleSoft's support team could provide help with the area of Kubernetes.
Kaleeswaran Karuppusamy - PeerSpot reviewer
Helps retrieve data and with data processing but is not so easy to use
There are no stability issues in the tool. Compared to Apache Sling, Spring Cloud Data Flow is not easy to use. People prefer Apache Sling when dealing with their use cases. I don't know whether Spring Cloud Data Flow will be demanded a lot in the market because there are a lot of other options available, especially open-source tools like Apache Sling, which is getting a lot of attention from people. A lot of people have started using Apache Sling, so I don't know how much more visible Spring Cloud Data Flow will be in the future.

Quotes from Members

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

Pros

"The community manager is the standout feature of the Mule Anypoint Platform, as it provides a platform to showcase your API to external parties. It is exceptionally user-friendly and enables external parties to easily utilize and consume the APIs."
"The exchange and API management features are the best in the market."
"The tool's visual features are attractive."
"Initially, we faced challenges managing numerous scheduled jobs and duplicate entries in our SAP system. To address this, we developed a reusable component in Mule that all applications could use to interact with SAP."
"This is the easiest and best tool available."
"It's easy to develop APIs."
"Initial setup was very straightforward. Deployment is a cakewalk."
"The most valuable feature is the variety of characters Anypoint Platform has. It is very scalable and customizable."
"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 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 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."
"The most valuable feature is real-time streaming."
"The product is very user-friendly."
 

Cons

"The solution's licensing model is expensive and could be improved."
"The solution is very costly. The solution should provide a package with fewer capabilities at a lower price for specific companies that don’t have a big IT budget. Not every customer requires all the capabilities of the software. It will be a good fit in the market, and they will easily sell it more."
"Adding connectors for new upcoming applications would add extra value to this product."
"It has different types of subscriptions. For platinum or lower subscriptions, there are not too many things that can be done. We don't see many features. They should release a basic version that has logging and monitoring features. These features should come with Mule Anypoint Platform for free instead of making customers pay separately for these features. Its dashboard can be improved to have a lot of charts so that it is easy to visualize information. The utilization part can be improved. The dashboard is good currently, but it can be better. Other solutions like Elastic have a good dashboard, and they allow you to administer the product from the UI. Currently, for RTF, there is a different dashboard or utility. It would be good to include the same utility in the cloud solution. It would be good if there is a centralized repository that includes the links to the information about various troubleshooting issues. The documentation is there currently, and it is good, but the troubleshooting information is too scattered. We have to go to different links to find troubleshooting information. This kind of centralized repository would be helpful for new customers who are implementing this solution. It will be helpful to see different kinds of issues that can occur."
"One area we'd like to see improvement in is the error logging and troubleshooting process."
"It's extremely expensive to change things in Anypoint MQ. There's also this issue of slow output of messages, and that needs to be improved."
"The inclusion of GenAI in the tool can be good since it is an area that is currently unavailable in the solution."
"One area for improvement is the Community Hub or developer portal, which should be part of the base offering."
"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."
"The solution's community support could be improved."
"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."
"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."
"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 licensing is core-based. My customers tell me that it's very expensive compared to the cost of other integration suites."
"The solution is the priciest in the market which is an issue for some clients."
"Price-wise, it is a good product since it is reasonably priced."
"The pricing of our solution is highly competitive. While it may not be categorized as exceptionally low, it is certainly more affordable compared to IBM."
"Mule Anypoint Platform is an expensive solution."
"Mule Anypoint Platform pricing is slightly higher compared to Dell Boomi."
"The solution's pricing, as per the old approach, is expensive."
"The product's price seems to be competent in comparison to other products in the market."
"The solution provides value for money, and we are currently using its community edition."
"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."
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Top Industries

By visitors reading reviews
Financial Services Firm
13%
Computer Software Company
12%
Manufacturing Company
10%
Government
7%
Financial Services Firm
24%
Computer Software Company
14%
Retailer
8%
Insurance Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business21
Midsize Enterprise12
Large Enterprise29
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise1
Large Enterprise5
 

Questions from the Community

What advice do you have for others considering Mule Anypoint Platform?
I architected solutions using Oracle SOA/OSB, Spring Boot, MuleSoft Anypoint Platform on cloud / on-premises and hybrid modes; What I see is though if you are an enterprise and have enough money th...
How does TIBCO BusinessWorks compare with Mule Anypoint Platform?
Our organization ran comparison tests to determine whether TIBCO BusinessWorks or Mule Anypoint platform integration and connectivity software was the better fit for us. We decided to go with Mule...
What can Mule Anypoint Platform be used for and what do you use it for most often?
This is a very flexible solution that comes with multiple uses. My organization mostly uses Mule Anypoint Platform for API management, as it lets us build new APIs easily and design new interfaces...
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

Data Integrator, Anypoint MQ
No data available
 

Overview

 

Sample Customers

VMware, Gucci, MasterCard, Target, Time Inc, Hershey's, Tesla, Spotify, Office Depot, Intuit, CBS, Amtrak, Salesforce, Gap, Ralph Lauren
Information Not Available
Find out what your peers are saying about MuleSoft Anypoint Platform vs. Spring Cloud Data Flow and other solutions. Updated: August 2022.
872,706 professionals have used our research since 2012.