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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
20th
Average Rating
7.8
Reviews Sentiment
7.2
Number of Reviews
26
Ranking in other categories
Process Automation (12th), Cloud Data Integration (14th), Integration Platform as a Service (iPaaS) (12th)
Spring Cloud Data Flow
Ranking in Data Integration
21st
Average Rating
7.8
Reviews Sentiment
6.8
Number of Reviews
9
Ranking in other categories
Streaming Analytics (10th)
 

Mindshare comparison

As of December 2025, 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 (%)
SnapLogic1.1%
Spring Cloud Data Flow1.1%
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

"Overall product rating is nine out of ten."
"I find the reusability and the snaps to be very valuable features."
"The product is easy to use and has many connectivity options."
"SnapLogic is a great platform for establishing integrations among various systems or patterns by using any kind of interface. If something is not supported by predefined snaps – snaps are connectors in SnapLogic – you can create them (custom snaps) or write a script."
"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."
"It's more developer-friendly, and development can be done at a faster phase."
"It is a stable solution."
"It is a scalable solution."
"The dashboards in Spring Cloud Dataflow are quite valuable."
"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 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 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 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."
 

Cons

"We'd like zero downtime in the future."
"The dashboards regarding scheduled tasks need further improvement."
"While it performs well, there is some room for improvement in this area."
"If the AI capabilities and integrations were more intuitive and easy for new users to learn, it would be greatly beneficial."
"Connecting to data behind enterprise firewalls has been tricky."
"Some advanced features lack detailed documentation, and debugging complex pipelines could be more intuitive."
"One of the areas for improvement in SnapLogic is that the connectors for some of the applications should be more available in terms of testing in the dev environment. Another area for improvement is that the logging should be standardized, for example, the integration with an ELK stack should be required out-of-the-box, so you can ship the log and have it in the ELK stack. There should be integration with ELK stack for the log shipping."
"They should expand in terms of features for SaaS-based market requirements in different sectors."
"On the tool's online discussion forums, you may get stuck with an issue, making it an area where 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."
"Some of the features, like the monitoring tools, are not very mature and are still evolving."
"Spring Cloud Data Flow is not an easy-to-use tool, so improvements are required."
"The solution's community support could be improved."
"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."
 

Pricing and Cost Advice

"I used the free trial."
"The cost with SnapLogic is an annual license and better than Informatica."
"By scaling the solution incrementally the cost is controlled and more beneficial to the client."
"The pricing is okay."
"From the ROI perspective, the price is extremely high"
"SnapLogic's price is high compared to the other tools available in the market."
"It is a higher initial cost than other easy-to-use integration apps."
"They have pricing/usage tiers that are easy to move up or down."
"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
Financial Services Firm
18%
Manufacturing Company
13%
Comms Service Provider
7%
Computer Software Company
7%
Financial Services Firm
22%
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?
In the future, SnapLogic can make connectors with LLM connectors which are available recently. They can work on that aspect. Sometimes those connectors have low performance or don't generate accura...
What is your primary use case for SnapLogic?
Regarding automation, there were multiple business requirements to automate processes, such as sales processes and finance data. They wanted to integrate with different systems and achieve accurate...
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.
879,259 professionals have used our research since 2012.