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Apache NiFi vs Azure Stream Analytics comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

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

Categories and Ranking

Apache NiFi
Average Rating
7.8
Reviews Sentiment
7.4
Number of Reviews
13
Ranking in other categories
Compute Service (8th)
Azure Stream Analytics
Average Rating
7.8
Reviews Sentiment
6.7
Number of Reviews
28
Ranking in other categories
Streaming Analytics (3rd)
 

Mindshare comparison

Apache NiFi and Azure Stream Analytics aren’t in the same category and serve different purposes. Apache NiFi is designed for Compute Service and holds a mindshare of 8.9%, up 7.7% compared to last year.
Azure Stream Analytics, on the other hand, focuses on Streaming Analytics, holds 9.2% mindshare, down 12.5% since last year.
Compute Service
Streaming Analytics
 

Featured Reviews

Bharghava Raghavendra Beesa - PeerSpot reviewer
The tool enables effective data transformation and integration
There are some areas for improvement, particularly with record-level tasks that take a bit of time. The quality of JSON data processing could be improved, as JSON workloads require manual conversions without a specific process. Enhancing features related to alerting would be helpful, including mobile alerts for pipeline issues. Integration with mobile devices for error alerts would simplify information delivery.
SantiagoCordero - PeerSpot reviewer
Native connectors and integration simplify tasks but portfolio complexity needs addressing
There are too many products in the Azure landscape, which sometimes leads to overlap between them. Microsoft continuously releases new products or solutions, which can be frustrating when determining the appropriate features from one solution over another. A cost comparison between products is also not straightforward. They should simplify their portfolio. The Microsoft licensing system is confusing and not easy to understand, and this is something they should address. In the future, I may stop using Stream Analytics and move to other solutions. I discussed Palantir earlier, which is something I want to explore in depth because it allows me to accomplish more efficiently compared to solely using Azure. Additionally, the vendors should make the solution more user-friendly, incorporating low-code and no-code features. This is something I wish to explore further.

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 feature has been the range of clients and the range of connectors that we could use."
"The initial setup is very easy."
"The initial setup is very easy. I would rate my experience with the initial setup a ten out of ten, where one point is difficult, and ten points are easy."
"Apache NiFi is user-friendly. Its most valuable features for handling large volumes of data include its multitude of integrated endpoints and clients and the ability to create cron jobs to run tasks at regular intervals."
"It is highly effective for handling real-time data by working with APIs for immediate and continuous data extraction."
"It's an automated flow, where you can build a flow from source to destination, then do the transformation in between."
"We can integrate the tool with other applications easily."
"The user interface is good and makes it easy to design very popular workflows."
"The integrations for this solution are easy to use and there is flexibility in integrating the tool with Azure Stream Analytics."
"The way it organizes data into tables and dashboards is very helpful."
"The best features of Azure Stream Analytics are that it's easy to set up and configure."
"Real-time analytics is the most valuable feature of this solution. I can send the collected data to Power BI in real time."
"It's scalable as a cloud product."
"I like the IoT part. We have mostly used Azure Stream Analytics services for it"
"Cloud tools and cloud services enable flexibility and lower entry barriers for Taiwanese enterprises."
"It's easy to implement and maintain pipelines with minimal complexity."
 

Cons

"The quality of JSON data processing could be improved, as JSON workloads require manual conversions without a specific process."
"There is room for improvement in integration with SSO. For example, NiFi does not have any integration with SSO. And if I want to give some kind of rollback access control across the organization. That is not possible."
"There are some claims that NiFi is cloud-native but we have tested it, and it's not."
"The use case templates could be more precise to typical business needs."
"There should be a better way to integrate a development environment with local tools."
"The tool should incorporate more tutorials for advanced use cases. It has tutorials for simple use cases."
"We run many jobs, and there are already large tables. When we do not control NiFi on time, all reports fail for the day. So it's pretty slow to control, and it has to be improved."
"More features must be added to the product."
"The solution's interface could be simpler to understand for non-technical people."
"There is a lack of technical support from Microsoft's local office, particularly in Taiwan."
"Easier scalability and more detailed job monitoring features would be helpful."
"Sometimes when we connect Power BI, there is a delay or it throws up some errors, so we're not sure."
"There are too many products in the Azure landscape, which sometimes leads to overlap between them."
"Early in the process, we had some issues with stability."
"The collection and analysis of historical data could be better."
"We would like to have centralized platform altogether since we have different kind of options for data ingestion. Sometimes it gets difficult to manage different platforms."
 

Pricing and Cost Advice

"It's an open-source solution."
"We use the free version of Apache NiFi."
"I used the tool's free version."
"The solution is open-source."
"When scaling up, the pricing for Azure Stream Analytics can get relatively high. Considering its capabilities compared to other solutions, I would rate it a seven out of ten for cost. However, we've found ways to optimize costs using tools like Databricks for specific tasks."
"I rate the price of Azure Stream Analytics a four out of five."
"We pay approximately $500,000 a year. It's approximately $10,000 a year per license."
"There are different tiers based on retention policies. There are four tiers. The pricing varies based on steaming units and tiers. The standard pricing is $10/hour."
"The licensing for this product is payable on a 'pay as you go' basis. This means that the cost is only based on data volume, and the frequency that the solution is used."
"The cost of this solution is less than competitors such as Amazon or Google Cloud."
"The current price is substantial."
"The product's price is at par with the other solutions provided by the other cloud service providers in the market."
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Computer Software Company
12%
Manufacturing Company
10%
Retailer
8%
Financial Services Firm
15%
Computer Software Company
15%
Manufacturing Company
9%
Retailer
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What is your experience regarding pricing and costs for Apache NiFi?
Apache NiFi is open-source and free. Its integration with systems like Cloudera can be expensive, but Apache NiFi itself presents the best pricing as a standalone tool.
What needs improvement with Apache NiFi?
The logging system of Apache NiFi needs improvement. It is difficult to debug compared to Airflow ( /products/apache-airflow-reviews ), where task details and issues are clear. With Apache NiFi, I ...
Which would you choose - Databricks or Azure Stream Analytics?
Databricks is an easy-to-set-up and versatile tool for data management, analysis, and business analytics. For analytics teams that have to interpret data to further the business goals of their orga...
What is your experience regarding pricing and costs for Azure Stream Analytics?
Regarding the cost of Azure Stream Analytics, I believe the price is reasonable for the tool.
What needs improvement with Azure Stream Analytics?
There were challenges with Azure Stream Analytics. When I initially started, the learning curve was difficult because I didn't have knowledge of the service. There's setup time required to get it i...
 

Also Known As

No data available
ASA
 

Overview

 

Sample Customers

Macquarie Telecom Group, Dovestech, Slovak Telekom, Looker, Hastings Group
Rockwell Automation, Milliman, Honeywell Building Solutions, Arcoflex Automation Solutions, Real Madrid C.F., Aerocrine, Ziosk, Tacoma Public Schools, P97 Networks
Find out what your peers are saying about Amazon Web Services (AWS), Apache, Oracle and others in Compute Service. Updated: July 2025.
861,481 professionals have used our research since 2012.