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Apache NiFi vs Azure Stream Analytics comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Apache NiFi
Average Rating
7.8
Number of Reviews
11
Ranking in other categories
Compute Service (8th)
Azure Stream Analytics
Average Rating
8.0
Number of Reviews
24
Ranking in other categories
Streaming Analytics (4th)
 

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 8.0%, up 5.9% compared to last year.
Azure Stream Analytics, on the other hand, focuses on Streaming Analytics, holds 12.6% mindshare, down 13.5% since last year.
Compute Service
Streaming Analytics
 

Featured Reviews

SabinaZeynalova - PeerSpot reviewer
Allows the creation and use of custom functions to achieve desired functionality but limitation in handling monthly transactions due to a lack of partitioning for dates
Apache NiFi is slow to control and needs to be improved. I have to run many jobs and there are already large tables, which can make it difficult to control NiFi on time. There is no one to tell me when there is an incident and my server is down. When we manually start the NiFi process, it is not always started correctly. We can write scripts to run when a message is received from Airflow saying that the firewall is not running. This script will automatically start all servers, including the application servers. It will also check the status of all my NiFi processes and send a callback message with the results. I have written down all the processes that are monitored. 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. In future releases, there are extra features I’d like to add. For example, NiFi is not suitable for migration, and the replication in NiFi is really not good. Because when you process ten years of data, you can't manage all the transactions; it is not enough. Moreover, the handling of monthly transactions is not enough due to a lack of partitioning for dates. And, when we grade a monthly ticket, we must process all data then rerun our ETL jobs. If it's possible, enhancing the partitioning in NiFi for features would be beneficial.
Sudhendra Umarji - PeerSpot reviewer
Easy to set up and user-friendly, but could be priced better
I haven't come across missing items. It does what I need it to do. The pricing is a little bit high. The UI should be a little bit better from a usability perspective. The endpoint, if you are outsourcing to a third party, should have easier APIs. I'd like to have more destination sources available to us.

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. I would rate my experience with the initial setup a ten out of ten, where one point is difficult, and ten points are easy."
"We can integrate the tool with other applications easily."
"The most valuable features of this solution are ease of use and implementation."
"The user interface is good and makes it easy to design very popular workflows."
"The initial setup is very 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's an automated flow, where you can build a flow from source to destination, then do the transformation in between."
"I like all the connected ecosystems of Microsoft, it is really good with other BI tools that are easy to connect."
"I like the way the UI looks, and the real-time analytics service is aligned to this. That can be helpful if I have to use this on a production service."
"The solution's technical support is good."
"I appreciate this solution because it leverages open-source technologies. It allows us to utilize the latest streaming solutions and it's easy to develop."
"It provides the capability to streamline multiple output components."
"Technical support is pretty helpful."
"The most valuable features are the IoT hub and the Blob storage."
"The way it organizes data into tables and dashboards is very helpful."
 

Cons

"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."
"There should be a better way to integrate a development environment with local tools."
"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."
"The overall stability of this solution could be improved. In a future release, we would like to have access to more features that could be used in a parallel way. This would provide more freedom with processing."
"I think the UI interface needs to be more user-friendly."
"The tool should incorporate more tutorials for advanced use cases. It has tutorials for simple use cases."
"If something goes wrong, it's very hard to investigate what caused it and why."
"Its features for event imports and architecture could be enhanced."
"Azure Stream Analytics could improve by having clearer metrics as to the scale, more metrics around the data set size that is flowing through it, and performance tuning recommendations."
"More flexibility in terms of writing queries and accommodating additional facilities would be beneficial."
"Easier scalability and more detailed job monitoring features would be helpful."
"The initial setup is complex."
"The only challenge was that the streaming analytics area in Azure Stream Analytics could not meet our company's expectations, making it a component where improvements are required."
"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."
 

Pricing and Cost Advice

"I used the tool's free version."
"We use the free version of Apache NiFi."
"The solution is open-source."
"It's an open-source solution."
"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 cost of this solution is less than competitors such as Amazon or Google Cloud."
"We pay approximately $500,000 a year. It's approximately $10,000 a year per license."
"Azure Stream Analytics is a little bit expensive."
"The current price is substantial."
"I rate the price of Azure Stream Analytics a four out of five."
"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."
"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."
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Top Industries

By visitors reading reviews
Financial Services Firm
19%
Computer Software Company
15%
Manufacturing Company
8%
Retailer
6%
Computer Software Company
15%
Financial Services Firm
14%
Manufacturing Company
8%
Insurance Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What needs improvement with Apache NiFi?
The tool should incorporate more tutorials for advanced use cases. It has tutorials for simple use cases.
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?
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'v...
What needs improvement with Azure Stream Analytics?
Azure Stream Analytics is challenging to customize because it's not very flexible. It's good for quickly setting up and implementing solutions, but for building complex data pipelines and engineeri...
 

Also Known As

No data available
ASA
 

Learn More

 

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, Spot by NetApp and others in Compute Service. Updated: November 2024.
816,406 professionals have used our research since 2012.