Mohammad Masudu RahamanFounder at Talkingdeal.com LLC
We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"The solution is better than average and some of the valuable features include efficiency and stability."
"The solution is very stable and reliable."
"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."
"There could be an improvement in the area of the user configuration section, it should be less developer-focused and more business user-focused."
"The solution itself could be easier to use."
"Some of the features, like the monitoring tools, are not very mature and are still evolving."
"The configurations could be better. Some configurations are a little bit time-consuming in terms of trying to understand using the Spring Cloud documentation."
"This is an open-source product that can be used free of charge."
Spark Streaming makes it easy to build scalable fault-tolerant streaming applications.
Spring Cloud Data Flow is a toolkit for building data integration and real-time data processing pipelines.
Pipelines consist of Spring Boot apps, built using the Spring Cloud Stream or Spring Cloud Task microservice frameworks. This makes Spring Cloud Data Flow suitable for a range of data processing use cases, from import/export to event streaming and predictive analytics. Use Spring Cloud Data Flow to connect your Enterprise to the Internet of Anything—mobile devices, sensors, wearables, automobiles, and more.
Apache Spark Streaming is ranked 9th in Streaming Analytics with 2 reviews while Spring Cloud Data Flow is ranked 7th in Streaming Analytics with 2 reviews. Apache Spark Streaming is rated 7.6, while Spring Cloud Data Flow is rated 8.0. The top reviewer of Apache Spark Streaming writes "Mature and stable with good scalability". On the other hand, the top reviewer of Spring Cloud Data Flow writes "Good logging mechanisms, a strong infrastructure and pretty scalable". Apache Spark Streaming is most compared with Amazon Kinesis, Azure Stream Analytics, Talend Data Streams, Databricks and IBM Streams, whereas Spring Cloud Data Flow is most compared with Apache Flink, Cloudera DataFlow, TIBCO BusinessWorks, Mule Anypoint Platform and StreamSets. See our Apache Spark Streaming vs. Spring Cloud Data Flow report.
See our list of best Streaming Analytics vendors.
We monitor all Streaming Analytics reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.