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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
25th
Average Rating
7.8
Reviews Sentiment
6.8
Number of Reviews
28
Ranking in other categories
Process Automation (18th), API Management (24th), Cloud Data Integration (13th), Integration Platform as a Service (iPaaS) (13th)
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 February 2026, in the Data Integration category, the mindshare of SnapLogic is 1.1%, down from 1.6% compared to the previous year. The mindshare of Spring Cloud Data Flow is 1.2%, 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 Flow1.2%
SnapLogic1.1%
Other97.7%
Data Integration
 

Featured Reviews

reviewer2801493 - PeerSpot reviewer
Architect at a transportation company with 1,001-5,000 employees
Migration projects have accelerated data processing and now require better latency and support
The latency is the biggest issue across iPaaS. That is the important part. I have worked not only with SnapLogic, but also with MuleSoft, Dell Boomi, and Jitterbit. They are all fine, but they have different kinds of functionality. They all have similar kinds of problems in different domains. But as I mentioned, SnapLogic has a little bit of an edge because of its functionality and inbuilt functions for Fintech, as compared to the others. This I can say firmly. They need to assess themselves. In this day and age, as I mentioned earlier, terabytes of data need to be read and then have a quick turnaround for downstream systems, especially for GenAI or any LLMs. Then they can definitely improve themselves because right now, most things, in fact, the GenAI, ChatGPT, Cloud, Anthropic, and so many others, require data quality with perfection and more precision. But for all of that, we require a data pipeline that can be read without latency and without any delay, for any reason. So if they can improvise that over the cloud, that would be really fantastic and a really good achievement for them. Not only for them, but for the customer as well. Then no matter what, people cannot leave SnapLogic. They need to be there with the snaps. I don't know much about that. I haven't referred to the documentation that much. But support is something that is pretty obviously required, rather than just providing videos. Technical support is required. The roadmap also needs to be very clearly mentioned and specified. Be specific in which domain they are going to do what, if they are coming out with that roadmap. Otherwise, overall, if they are going to improve their entire system as I mentioned earlier, for the reusability concept and the data pipeline concept, then they will definitely do some magic in the future. From the HR point of view, or for HR tech, improvement is required. A couple of connectors are not working with all the relevant APIs, and there is always a restriction in terms of fetching the data. So that is why I chose six. From the Fintech point of view, if you are asking on a scale of one to 10, then I would give it an eight out of 10. It is a huge one. There is always a margin for improvement, so that is why I chose eight. If you talk about HR, sales, or any other domain, there is a significant amount of improvement required.
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

"An important tool for building prototypes and MVPs than can seamlessly turn into production jobs"
"The solution is easy to implement and easy to use. It's basically just drag and drop."
"By using snaps instead of functions in code, you can see the building blocks of the integration visually. This helps a lot."
"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."
"It is a scalable solution."
"The API architecture makes it easy for orchestration."
"SnapLogic positively impacts my organization, mainly in three areas: speed, system reliability, and maintainability."
"The solutions ability to connect "snaps" or components to the graphic user interface is very intuitive, prevents errors, and makes implementations easy."
"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 dashboards in Spring Cloud Dataflow are quite valuable."
"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 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 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 product is very user-friendly."
 

Cons

"While new features are always welcome, I do not have anything else at the top of my mind currently."
"What could be improved in SnapLogic is that it was not capable in terms of processing a large number of datasets, but at that point, SnapLogic was evolving. It didn't give a lot of Snaps. I heard recently there are a lot of Snaps getting added and the solution was being enhanced, particularly to connect different data sources. When I was working with SnapLogic six months to one year back, I faced the issue of it not being capable of handling a huge volume of datasets or didn't have much of Snaps, and that was the drawback. If there is any large number of data sets, that's based on or depends on your configuration. If it is a huge volume of data, other traditional ETL tools such as Informatica and Talend can process millions and billions of records, while in SnapLogic, the Snaplex fails or it returns an error in terms of processing that huge volume of data. Informatica, Talend, or any other ETL tool can run for hours in terms of jobs, while SnapLogic jobs fail when the threshold is reached. SnapLogic isn't able to withstand processing, but I don't know if that's still an issue at present, because the solution is getting enhanced and it's been more than six months to one year since I last worked with SnapLogic. There are now a lot of Snaps getting added to the solution, and if it can overcome the limitations I mentioned, SnapLogic could be the go-to tool because currently, it's not being used as much in organizations. It's being used comparatively less compared to other retail tools."
"The biggest issue we have faced in our company with SnapLogic is regarding the EDI format"
"SnapLogic sits somewhere in the middle. It doesn’t offer enough easy canned integrations for its users like some of the easier to use integration apps."
"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."
"One area for improvement in SnapLogic is the transparency in the flow of data. It needs to have more transparency. Right now, users only have a preview option at the end of any job flow, so at the end of any Snap Pack, there is a data preview option that lets you review the data and see how it's moving. What would make the solution better is more debugging and more access to change data from the preview panel or more functionality in terms of the preview option."
"They should expand in terms of features for SaaS-based market requirements in different sectors."
"From the HR point of view, or for HR tech, improvement is required. A couple of connectors are not working with all the relevant APIs, and there is always a restriction in terms of fetching the data."
"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 solution's community support could be improved."
"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."
"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."
"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."
"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

"SnapLogic is not expensive. It's reasonably priced."
"By scaling the solution incrementally the cost is controlled and more beneficial to the client."
"The pricing is okay."
"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."
"SnapLogic's price is high compared to the other tools available in the market."
"From the ROI perspective, the price is extremely high"
"I used the free trial."
"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
17%
Manufacturing Company
11%
Comms Service Provider
7%
Healthcare Company
7%
Financial Services Firm
20%
Computer Software Company
12%
Retailer
8%
Healthcare Company
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business11
Midsize Enterprise6
Large Enterprise13
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?
The latency is the biggest issue across iPaaS. That is the important part. I have worked not only with SnapLogic, but also with MuleSoft, Dell Boomi, and Jitterbit. They are all fine, but they have...
What is your primary use case for SnapLogic?
My main use case for SnapLogic is migrations from Boomi and other SQL databases to SnapLogic. Regarding the SQL database, I'm not going to disclose the customer name, but I can give you some highli...
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: February 2026.
882,813 professionals have used our research since 2012.