Compare Apache NiFi vs. Azure Stream Analytics

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Most Helpful Review
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Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros
"The most valuable features of this solution are ease of use and implementation."

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"Provides deep integration with other Azure resources.""The most valuable features are the IoT hub and the Blob storage.""Real-time analytics is the most valuable feature of this solution. I can send the collected data to Power BI in real time."

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Cons
"There should be a better way to integrate a development environment with local tools."

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"If something goes wrong, it's very hard to investigate what caused it and why.""There may be some issues when connecting with Microsoft Power BI because we are providing the input and output commands, and there's a chance of it being delayed while connecting.""It is not complex, but it requires some development skills. When the data is sent from Azure Stream Analytics to Power BI, I don't have the access to modify the data. I can't customize or edit the data or do some queries. All queries need to be done in the Azure Stream Analytics."

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Pricing and Cost Advice
"It's an open-source solution."

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"The cost of this solution is less than competitors such as Amazon or Google Cloud."

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Questions from the Community
Top Answer: The most valuable features of this solution are ease of use and implementation.
Top Answer: There should be a better way to integrate a development environment with local tools. Most of the development is done on the console. For example, in Spark, we can develop on our local desktop and… more »
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Ranking
3rd
out of 13 in Compute Service
Views
7,678
Comparisons
4,903
Reviews
1
Average Words per Review
827
Avg. Rating
8.0
5th
out of 30 in Streaming Analytics
Views
5,304
Comparisons
4,641
Reviews
3
Average Words per Review
677
Avg. Rating
8.0
Popular Comparisons
Compared 25% of the time.
Compared 21% of the time.
Compared 14% of the time.
Compared 9% of the time.
Compared 6% of the time.
Compared 33% 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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Learn more about Azure Stream Analytics
Sample Customers
Macquarie Telecom Group, Dovestech, Slovak Telekom, Looker, Hastings GroupRockwell Automation, Milliman, Honeywell Building Solutions, Arcoflex Automation Solutions, Real Madrid C.F., Aerocrine, Ziosk, Tacoma Public Schools, P97 Networks
Top Industries
VISITORS READING REVIEWS
Computer Software Company31%
Comms Service Provider19%
Media Company10%
Financial Services Firm5%
VISITORS READING REVIEWS
Computer Software Company39%
Comms Service Provider18%
Retailer5%
Media Company4%
Find out what your peers are saying about Apache, Amazon, StackStorm and others in Compute Service. Updated: November 2020.
448,076 professionals have used our research since 2012.

Apache NiFi is ranked 3rd in Compute Service with 1 review while Azure Stream Analytics is ranked 5th in Streaming Analytics with 3 reviews. Apache NiFi is rated 8.0, while Azure Stream Analytics is rated 8.0. The top reviewer of Apache NiFi writes "Open source solution that allows you to collect data with ease". On the other hand, the top reviewer of Azure Stream Analytics writes "Effective Blob storage and the IoT hub save us a lot of time, and the support is helpful". Apache NiFi is most compared with AWS Lambda, Google Cloud Dataflow, Apache Storm, Apache Spark and IBM Streams, whereas Azure Stream Analytics is most compared with Databricks, Apache Spark, Apache Spark Streaming, Apache Flink and Google Cloud Dataflow.

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