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SnapLogic vs Spring Cloud Data Flow comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 19, 2024

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

SnapLogic
Ranking in Data Integration
21st
Average Rating
7.8
Reviews Sentiment
7.2
Number of Reviews
26
Ranking in other categories
Process Automation (14th), API Management (20th), Cloud Data Integration (14th), Integration Platform as a Service (iPaaS) (11th)
Spring Cloud Data Flow
Ranking in Data Integration
20th
Average Rating
7.8
Reviews Sentiment
6.8
Number of Reviews
9
Ranking in other categories
Streaming Analytics (11th)
 

Mindshare comparison

As of January 2026, in the Data Integration category, the mindshare of SnapLogic is 1.1%, down from 1.7% compared to the previous year. The mindshare of Spring Cloud Data Flow is 1.1%, up from 1.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Market Share Distribution
ProductMarket Share (%)
Spring Cloud Data Flow1.1%
SnapLogic1.1%
Other97.8%
Data Integration
 

Featured Reviews

SameerShaikh - PeerSpot reviewer
Technical Specialist App Development at Birlasoft IndiaLtd.
Has automated manual tasks and simplified integration with pre-built connectors while supporting AI use cases
The tool is very user-friendly and not complex to understand. The structure of the platform is easy to understand, and we can build multiple systems with low-code, no-code, so it doesn't require much coding language. Now it is moving more into APIs, so we can create APIs to transfer data, which we can manage. It's moving into AI, so we can create AI agents with LLM models. We can use most of the LLM such as Amazon Bedrock, OpenAI, Azure AI. With those Snaps, we can integrate and move more into the AI world. SnapLogic is hosted on Groundplex and AWS cloud. It has pre-built connectors, which we call Snaps. That is very helpful to connect with multiple systems. We have a dashboard monitor that is very graphical. We can measure exact times in seconds and how much time it took to complete the process. With that help, it's really helpful to see how much memory consumption is utilized. The monitor structure has very good features for SnapLogic. SnapLogic is an integration tool which we use to integrate multiple systems such as source system, target system, cloud systems, and Groundplex systems. It is an iPaaS tool and a very strong tool. Now it is moving more into APIs and AI/ML tools; it is improving their knowledge. It is helpful for creating SnapLogic agents. In this way, SnapLogic is expanding their work.
LN
Senior Software Engineer at QBE Regional Insurance
Provides ease of integration with other cloud platforms
Spring Cloud Data Flow is a useful product if I consider how there are different providers with whom my company had to deal, and most of them offer cloud-based products. I can't explain any crucial circumstances where the product's integration capabilities were helpful, but the aforementioned details explain the scenario for which I used the solution. I was only involved with the development of the product and not with the data pipeline configuration phase. The use of Spring Cloud Data Flow greatly impacted projects' time to market since our company's intention was to actually deploy and ensure that the payment platform integrated with it, which was an easy process. The product's user interface was very intuitive. The tool was deployed in multiple environments, but I am not sure about the production. From the time I started taking up the job in my current organization, I saw that we have deployed the tool in multiple environments wherein the number of users extensively used the product in the UAT environment, which is one of the most stable environments. There were 20 different methods to test the tool. I wouldn't be able to tell you the production details of the tool as I was more part of the production deployment, but I can say that it was deployed with the intent of making it available for 10,000 users. Those who plan to use the product should enjoy the flexibility of the solution. I rate the tool a nine out of ten.

Quotes from Members

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

Pros

"It is a scalable solution."
"I found SnapLogic valuable and what I found most valuable about it was its ETL feature. I also found its automation feature valuable. It can be used for automating manual activities. It can be used as a middleware for certain transactional data processing and minimal datasets and ETL activities."
"The connection with SOAP is the best feature."
"SnapLogice is a low-code development tool."
"SnapLogic is more user-friendly than Boomi in terms of debugging. You can move the mouse to a place, and it will record and show the data easily."
"It's more developer-friendly, and development can be done at a faster phase."
"The vendor handles the maintenance of the solution"
"The solutions ability to connect "snaps" or components to the graphic user interface is very intuitive, prevents errors, and makes implementations easy."
"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 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."
"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 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 product is very user-friendly."
 

Cons

"Connecting to data behind enterprise firewalls has been tricky."
"SnapLogic should have some inbuilt protocol mechanism in order to speed up."
"If the AI capabilities and integrations were more intuitive and easy for new users to learn, it would be greatly beneficial."
"Some advanced features lack detailed documentation, and debugging complex pipelines could be more intuitive."
"There is room for improvement with APM management and how task execution looks."
"I am looking for more scheduling options. When it comes to scheduling, there are different tools in the market."
"It needs some more snaps. I would like to see some of the features be changed in some of the snaps."
"We'd like zero downtime in the future."
"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."
"Some of the features, like the monitoring tools, are not very mature and are still evolving."
"I would improve the dashboard features as they are not very user-friendly."
"The solution's community support could be improved."
"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."
"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."
 

Pricing and Cost Advice

"SnapLogic is not expensive. It's reasonably priced."
"From the ROI perspective, the price is extremely high"
"The pricing is okay."
"The license model is based on consumption."
"They have pricing/usage tiers that are easy to move up or down."
"The cost with SnapLogic is an annual license and better than Informatica."
"It is a higher initial cost than other easy-to-use integration apps."
"By scaling the solution incrementally the cost is controlled and more beneficial to the client."
"The solution provides value for money, and we are currently using its community edition."
"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."
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Top Industries

By visitors reading reviews
Financial Services Firm
18%
Manufacturing Company
12%
Comms Service Provider
7%
Computer Software Company
6%
Financial Services Firm
21%
Computer Software Company
13%
Retailer
8%
Manufacturing Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business11
Midsize Enterprise5
Large Enterprise11
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise1
Large Enterprise5
 

Questions from the Community

What do you like most about SnapLogic?
Despite having no prior experience in SnapLogic, we managed to build, test, and prepare it for release in just three hours, handling heavy data efficiently.
What needs improvement with SnapLogic?
Some advanced features lack detailed documentation, and debugging complex pipelines could be more intuitive. We have faced a few issues with pipeline throttling, but SnapLogic support was responsiv...
What is your primary use case for SnapLogic?
Our main use case for SnapLogic is building integration pipelines across SaaS applications, databases, and internal systems to automate the data flows. A specific example of how we have used SnapLo...
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

DataFlow
No data available
 

Overview

 

Sample Customers

Adobe, ADP, BlackBerry, Bonobos, Box, Capital One, Dannon, Eero, Endo, Gensler, HCL, HP, Grovo, HIS, iRobot, Leica, Merck, Sans, Target, Verizon, Vodafone, Yelp, Yahoo!
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Find out what your peers are saying about SnapLogic vs. Spring Cloud Data Flow and other solutions. Updated: December 2025.
879,899 professionals have used our research since 2012.