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Amazon EC2 Auto Scaling vs Apache NiFi comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on May 21, 2025

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

Amazon EC2 Auto Scaling
Ranking in Compute Service
3rd
Average Rating
9.0
Reviews Sentiment
7.8
Number of Reviews
46
Ranking in other categories
No ranking in other categories
Apache NiFi
Ranking in Compute Service
8th
Average Rating
7.8
Reviews Sentiment
7.4
Number of Reviews
13
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of June 2025, in the Compute Service category, the mindshare of Amazon EC2 Auto Scaling is 10.4%, down from 13.8% compared to the previous year. The mindshare of Apache NiFi is 8.5%, up from 7.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Compute Service
 

Featured Reviews

Muhammad Awais Zahid - PeerSpot reviewer
Pay-as-you-go and efficient with automated workload handling
I have been working with customers who use Amazon EC2 Auto Scaling for handling their workload on servers and scaling up the infrastructure as required.  As an instructor and cloud consultant, I help clients maintain and scale their infrastructure using this service to achieve zero downtime…
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.

Quotes from Members

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

Pros

"Amazon EC2 Auto Scaling has good integration."
"The support from Amazon EC2 Auto Scaling is very good."
"The most valuable features include the availability of various services like compute, memory, and database services in the AWS landscape."
"The solution removes the need for hardware. We can easily create servers or machines. Just by clicking or specifying our requirements, like memory size or disk space, it's set up for us. The tool eliminates the need for hardware. We can choose what we need and pay as we use it. It is flexible and can integrate with any product."
"Having a load balancer in between is very helpful when you have huge traffic."
"The product's most valuable features are high availability and persistence."
"Auto-scaling is a good feature."
"The auto-scaling feature is particularly useful. Additionally, CloudWatch and CloudTrail are also important features for us."
"The initial setup is very easy."
"The most valuable features of this solution are ease of use and implementation."
"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."
"The most valuable feature has been the range of clients and the range of connectors that we could use."
"Visually, this is a good product."
"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."
"We can integrate the tool with other applications easily."
 

Cons

"The solution could improve by having more automation. Nowadays there is a vast variety of automation. Additionally, infrastructure monitoring could improve."
"The launch configuration feature doesn't work properly. It needs to improve the load configuration feature along with launch templates. The tool needs to tag feature as well."
"Its stability and scalability need improvement."
"For future improvements, I suggest focusing on cost reduction."
"The documentation for this solution could be improved. For example, it is difficult to find documentation for integration with applications."
"The tool must provide proper guidelines to troubleshoot connectivity issues."
"The solution is not cheap."
"It's an expensive solution."
"More features must be added to the product."
"The use case templates could be more precise to typical business needs."
"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."
"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."
"The quality of JSON data processing could be improved, as JSON workloads require manual conversions without a specific process."
"I think the UI interface needs to be more user-friendly."
"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."
 

Pricing and Cost Advice

"Amazon EC2 Auto Scaling uses a pay-as-you-go pricing model."
"The solution pricing varies by service region is mid-range."
"The product is quite expensive."
"It's cost-effective."
"Amazon EC2 instances can be very expensive."
"I rate Amazon EC2 Auto Scaling's pricing a seven out of ten."
"I have not explored the price of the solution extensively, but from what I have seen the price is alright."
"There is no specific pricing for Amazon EC2 Auto Scaling, but we have to pay for the number of machines getting scaled up."
"We use the free version of Apache NiFi."
"The solution is open-source."
"It's an open-source solution."
"I used the tool's free version."
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Top Industries

By visitors reading reviews
Financial Services Firm
25%
Computer Software Company
13%
Real Estate/Law Firm
7%
Retailer
7%
Financial Services Firm
15%
Computer Software Company
12%
Manufacturing Company
11%
Retailer
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about Amazon EC2 Auto Scaling?
The solution removes the need for hardware. We can easily create servers or machines. Just by clicking or specifying our requirements, like memory size or disk space, it's set up for us. The tool e...
What is your experience regarding pricing and costs for Amazon EC2 Auto Scaling?
The pricing of Amazon EC2 Auto Scaling is moderate. It's not too expensive because we only pay for what we use. While there are cheaper options, the services provided are worth the cost. Previously...
What needs improvement with Amazon EC2 Auto Scaling?
While Amazon EC2 Auto Scaling is continually updated and has improved over time, the dashboard has become more complex and tricky for new users. The interface was easier to navigate in earlier vers...
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 ...
 

Also Known As

AWS RAM
No data available
 

Overview

 

Sample Customers

Expedia, Intuit, Royal Dutch Shell, Brooks Brothers
Macquarie Telecom Group, Dovestech, Slovak Telekom, Looker, Hastings Group
Find out what your peers are saying about Amazon EC2 Auto Scaling vs. Apache NiFi and other solutions. Updated: June 2025.
858,649 professionals have used our research since 2012.