Compare Oracle Stream Analytics vs. Spring Cloud Data Flow

Oracle Stream Analytics is ranked 19th in Streaming Analytics while Spring Cloud Data Flow is ranked 3rd in Streaming Analytics with 1 review. Oracle Stream Analytics is rated 0, while Spring Cloud Data Flow is rated 8.0. On the other hand, 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 , whereas Spring Cloud Data Flow is most compared with StreamSets, Apache Flink and Mule Anypoint Platform.
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Ranking
19th
out of 25 in Streaming Analytics
Views
23
Comparisons
4
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
3rd
out of 25 in Streaming Analytics
Views
1,424
Comparisons
1,099
Reviews
1
Average Words per Review
478
Avg. Rating
8.0
Top Comparisons
Compared 19% 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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