We performed a comparison between SnapLogic and Spring Cloud Data Flow based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration."SnapLogic is an IPA tool that leverages a low code environment to connect to multiple sources, extract data, and store it in Azure data lake."
"The solution could improve its API management."
"It is a scalable solution."
"You can use other languages, such as Python, and easily connect to other systems."
"By using snaps instead of functions in code, you can see the building blocks of the integration visually. This helps a lot."
"SnapLogice is a low-code development tool."
"It is a stable 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 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."
"I don't think the support has better knowledge about technologies and tool support. There were lots of times when we had an issue, and it took me quite a long time to explain the problem. I feel like some of the support staff don't know their product well."
"I am looking for more scheduling options. When it comes to scheduling, there are different tools in the market."
"Connecting to data behind enterprise firewalls has been tricky."
"Ultra Pipelines provides real-time ingestion but it needs some adjustment."
"I would like to see more performance-related dashboards, ones that display the cost of a pipeline, for instance. Also, it would be helpful to have management dashboards for overseeing pipelines and connections."
"The solution isn't ideal for complex processing or logic. We use another solution for that."
"It needs some more snaps. I would like to see some of the features be changed in some of the snaps."
"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."
"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."
SnapLogic is ranked 14th in Data Integration with 20 reviews while Spring Cloud Data Flow is ranked 29th in Data Integration with 5 reviews. SnapLogic is rated 8.0, while Spring Cloud Data Flow is rated 8.0. The top reviewer of SnapLogic writes "Easy to set up, easy to use, and is low-code". On the other hand, the top reviewer of Spring Cloud Data Flow writes "Provides ease of integration with other cloud platforms ". SnapLogic is most compared with Azure Data Factory, AWS Glue, IBM InfoSphere DataStage, Informatica Cloud Data Integration and SSIS, whereas Spring Cloud Data Flow is most compared with Apache Flink, Google Cloud Dataflow, Apache Spark Streaming, Azure Data Factory and TIBCO BusinessWorks.
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