We performed a comparison between Confluent and Spring Cloud Data Flow based on real PeerSpot user reviews.
Find out in this report how the two Streaming Analytics solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The benefit is escaping email communication. Sometimes people ignore emails or put them into spam, but with Confluence, everyone sees the same text at the same time."
"It is also good for knowledge base management."
"With Confluent Cloud we no longer need to handle the infrastructure and the plumbing, which is a concern for Confluent. The other advantage is that all portfolios have access to the data that is being shared."
"The monitoring module is impressive."
"The most valuable feature of Confluent is the wide range of features provided. They're leading the market in this category."
"One of the best features of Confluent is that it's very easy to search and have a live status with Jira."
"The design of the product is extremely well built and it is highly configurable."
"Their tech support is amazing; they are very good, both on and off-site."
"The product is very user-friendly."
"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."
"Confluence could improve the server version of the solution. However, most companies are going to the cloud."
"The Schema Registry service could be improved. I would like a bigger knowledge base of other use cases and more technical forums. It would be good to have more flexible monitoring features added to the next release as well."
"The formatting aspect within the page can be improved and more powerful."
"Confluent has a good monitoring tool, but it's not customizable."
"The pricing model should include the ability to pick features and be charged for them only."
"Areas for improvement include implementing multi-storage support to differentiate between database stores based on data age and optimizing storage costs."
"It would help if the knowledge based documents in the support portal could be available for public use as well."
"there is room for improvement in the visualization."
"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."
"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 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."
Confluent is ranked 4th in Streaming Analytics with 20 reviews while Spring Cloud Data Flow is ranked 9th in Streaming Analytics with 5 reviews. Confluent is rated 8.4, while Spring Cloud Data Flow is rated 8.0. The top reviewer of Confluent writes "Has good technical support services and a valuable feature for real-time data streaming ". On the other hand, the top reviewer of Spring Cloud Data Flow writes "Provides ease of integration with other cloud platforms ". Confluent is most compared with Amazon MSK, Amazon Kinesis, Databricks, AWS Glue and Oracle GoldenGate, whereas Spring Cloud Data Flow is most compared with Apache Flink, Google Cloud Dataflow, Apache Spark Streaming, Azure Data Factory and Databricks. See our Confluent vs. Spring Cloud Data Flow report.
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