Oracle Stream Analytics vs. Spring Cloud Data Flow

As of May 2019, Oracle Stream Analytics is ranked 20th in Streaming Analytics vs Spring Cloud Data Flow which is ranked 4th in Streaming Analytics with 1 review. The top reviewer of Spring Cloud Data Flow writes "Gives us the simplicity of using off-the-shelf data flow plug-in components". Oracle Stream Analytics is most compared with . Spring Cloud Data Flow is most compared with StreamSets, Talend Open Studio and CloverETL.
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Ranking
20th
out of 24 in Streaming Analytics
Views
9
Comparisons
1
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
4th
out of 24 in Streaming Analytics
Views
759
Comparisons
565
Reviews
1
Average Words per Review
478
Avg. Rating
8.0
Top Comparisons
Compared 30% of the time.
Compared 9% of the time.
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Overview
Oracle Stream Analytics allows users to process and analyze large scale real-time information by using sophisticated correlation patterns, enrichment, and machine learning. It offers real-time actionable business insight on streaming data and automates action to drive today’s agile businesses.

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.

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