We performed a comparison between Spring Cloud Data Flow and Zapier based on real PeerSpot user reviews.
Find out in this report how the two Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The most valuable feature is real-time streaming."
"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."
"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 product's initial setup phase was very easy."
"The product's most valuable feature is automation."
"With the previous CRM we were using – the Google Ads landing pages we had – we were collecting leads manually. That process was not efficient and took a sales team a lot of time to insert these leads manually. Currently, the process is smooth and we use Zapier to collect the leads for us."
"Zapier luckily has a wide range of integrations, I would say."
"Zapier is a really good tool for connecting multiple different platforms and data sources. For example, with Quickbase, I can easily integrate data from other sources like AWS or task-tracking platforms such as ClickUp or Asana."
"What's most valuable in Zapier is its simplicity, seamlessness, and smooth plug-in, so you won't need to build code for every action. I'm not a developer, but I can use Zapier."
"There are a few valuable features, like the stability that it comes with and also the number of features that it offers. I've used other services like Pabbly, but they don't offer similar numbers of applications that Zapier has or allows to integrate with – it's maximum."
"The most valuable aspect of this solution is that it is very intuitive and has a very flat learning curve."
"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 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."
"At the moment, they allow a limited number of apps. I look forward to getting more apps for each package."
"Some apps are not available yet. For instance, a connection with Joomla! would be great. In general, all the most-used apps are available, but I bumped into Joomla! with a client."
"Being able to share Zaps and organize them with teammates would allow sharing and refining scenarios and even combining steps that require different people's credentials."
"With Zapier, improvements are required in the areas of concerns like bugs, ease of use, and documentation."
"System-to-system is fine, but when it comes to system-to-user, where Zapier is helping to communicate to a user, that's a one-way communication. If that user has to perform some action on that notification, the action isn't handled by Zapier. So there's no way to orchestrate that and it's very cumbersome."
"Zapier needs to improve in the same way most RPA solutions should, such as Robocorp, Make, or UiPath. They are not good at helping you find the connections that you need for the problem that you have. For example, if need something on Instagram. I'm going to have to do research for hours to be able to find the components or the app, which is going to do what I need it to do. It makes it difficult to use the system when you don't know what to use."
"After mapping them out, and they'd worked for a while, I've had Zapier fail."
"I think that this solution should have more apps connected to it."
Spring Cloud Data Flow is ranked 28th in Data Integration with 5 reviews while Zapier is ranked 10th in Cloud Data Integration with 40 reviews. Spring Cloud Data Flow is rated 8.0, while Zapier is rated 8.6. The top reviewer of Spring Cloud Data Flow writes "Provides ease of integration with other cloud platforms ". On the other hand, the top reviewer of Zapier writes "A tool for automation purposes requiring an easy initial setup while offering a very helpful technical support team ". Spring Cloud Data Flow is most compared with Apache Flink, Google Cloud Dataflow, Apache Spark Streaming, Azure Data Factory and TIBCO BusinessWorks, whereas Zapier is most compared with AWS Glue, Alteryx Designer, Tray.io, Coefficient and MuleSoft Composer. See our Spring Cloud Data Flow vs. Zapier report.
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