Compare Apache NiFi vs. Azure Stream Analytics

Apache NiFi is ranked 3rd in Compute Service while Azure Stream Analytics is ranked 2nd in Streaming Analytics with 1 review. Apache NiFi is rated 0, while Azure Stream Analytics is rated 8.0. On the other hand, the top reviewer of Azure Stream Analytics writes "Helps us focus on critical security issues, among our multiple systems". Apache NiFi is most compared with AWS Lambda, Google Cloud Dataflow and Azure Stream Analytics, whereas Azure Stream Analytics is most compared with Apache Spark, Apache NiFi and Apache Flink.
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Apache NiFi Logo
7,235 views|5,015 comparisons
Azure Stream Analytics Logo
3,386 views|2,872 comparisons
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Ranking
3rd
out of 9 in Compute Service
Views
7,235
Comparisons
5,015
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
2nd
out of 25 in Streaming Analytics
Views
3,386
Comparisons
2,872
Reviews
1
Average Words per Review
710
Avg. Rating
8.0
Top Comparisons
Compared 27% of the time.
Compared 17% of the time.
Also Known As
ASA
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Apache
Microsoft
Overview
Apache NiFi is an easy to use, powerful, and reliable system to process and distribute data. It supports powerful and scalable directed graphs of data routing, transformation, and system mediation logic.AzureStream Analytics is a fully managed event-processing engine that lets you set up real-time analytic computations on streaming data.The data can come from devices, sensors, web sites, social media feeds, applications, infrastructure systems, and more.
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Sample Customers
Information Not Available
Rockwell Automation, Milliman, Honeywell Building Solutions, Arcoflex Automation Solutions, Real Madrid C.F., Aerocrine, Ziosk, Tacoma Public Schools, P97 Networks
Top Industries
VISITORS READING REVIEWS
Software R&D Company30%
Insurance Company14%
Comms Service Provider11%
Media Company7%
No Data Available
We monitor all Compute Service 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.
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