Compare Hortonworks DataFlow vs. WSO2 Stream Processor

Hortonworks DataFlow is ranked 12th in Streaming Analytics while WSO2 Stream Processor is ranked 15th in Streaming Analytics. Hortonworks DataFlow is rated 0, while WSO2 Stream Processor is rated 0. On the other hand, Hortonworks DataFlow is most compared with Databricks, Spring Cloud Data Flow and WSO2 Stream Processor, whereas WSO2 Stream Processor is most compared with Apache Flink, Hortonworks DataFlow and Databricks.
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Ranking
12th
out of 26 in Streaming Analytics
Views
383
Comparisons
346
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0
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0
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15th
out of 26 in Streaming Analytics
Views
262
Comparisons
232
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
Top Comparisons
Compared 29% of the time.
Compared 10% of the time.
Also Known As
HDF
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Overview

Hortonworks DataFlow (HDF) provides the only end-to-end platform that collects, curates, analyzes and acts on data in real-time, on-premises or in the cloud, with a drag-and-drop visual interface. HDF is an integrated solution with Apache Nifi/MiNifi, Apache Kafka, Apache Storm and Druid.

WSO2 Stream Processor is an open source, cloud native and lightweight stream processing platform that understands streaming SQL queries in order to capture, analyze, process and act on events in real time. This facilitates real-time streaming analytics and streaming data integration. With the product’s powerful streaming SQL, simple deployment, and ability to adapt to changes rapidly, enterprises can go to market faster and achieve greater ROI. Unlike other offerings, it provides a simple two-node deployment for high availability and scales beyond with its distributed deployment to cater to extremely high workloads.

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