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Amazon EC2 Auto Scaling vs Apache NiFi 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

Amazon EC2 Auto Scaling
Ranking in Compute Service
2nd
Average Rating
8.8
Reviews Sentiment
8.2
Number of Reviews
44
Ranking in other categories
No ranking in other categories
Apache NiFi
Ranking in Compute Service
8th
Average Rating
7.8
Number of Reviews
12
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of February 2025, in the Compute Service category, the mindshare of Amazon EC2 Auto Scaling is 11.2%, down from 11.4% compared to the previous year. The mindshare of Apache NiFi is 7.9%, up from 6.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Compute Service
 

Featured Reviews

Erick  Karanja - PeerSpot reviewer
Scaling is as easy as hitting a button and setup is straightforward
AWS has already made improvements. In the past, if you provisioned a large EC2 instance and underutilized it, you still paid a premium. Now, AWS encourages using Kubernetes, where you primarily pay for the compute power you actually use in production. There is room for improvement. You might end up paying a high price if you're not careful and you provision a server that's underutilized. AWS has left it to engineers to figure out solutions. If you find the cost too high, you can move to Kubernetes, which might be a better solution for you than large EC2 instances. So, the improvements need to come from the user side, not the provider. Software engineers and engineering teams need to know their limits with EC2 instances. They need to recognize when it's time to transition their applications to Kubernetes. This means building with the cloud in mind from the start, making it easier to move solutions to the cloud without suffering upgrades and integration issues.
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

"The solution is scalable."
"Amazon EC2 Auto Scaling operates at a different level, working in parallel to efficiently manage workload distribution. Primarily, it focuses on orchestration rather than directly managing EC2 instances for deployment and configuration. It uses automated processes to deploy and manage ports, leveraging Application Load Balancers to effectively handle data communication and management."
"The initial setup is straightforward."
"What we have found most valuable are the purchasing of usage at the time and small storage."
"I like the fact that you don't need to pay for it when you aren't using it, especially in a disaster recovery scenario. The pricing is transparent, so you know what you're going to pay for it."
"The support from Amazon EC2 Auto Scaling is very good."
"We use the solution to increase CPU and memory size."
"The Amazon EC2 Auto Scaling features are simple to use."
"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."
"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."
"The most valuable feature has been the range of clients and the range of connectors that we could use."
"It's an automated flow, where you can build a flow from source to destination, then do the transformation in between."
"The initial setup is very easy."
"Visually, this is a good product."
"The most valuable features of this solution are ease of use and implementation."
 

Cons

"I would like to see the security portal improved in the future."
"The product does not explain why a particular instance is terminated."
"The product should improve vertical scaling features."
"I would like to see a feature included that has the capability to clone when an instance is being terminated."
"We would like to see improvement in the UI for this solution, so that it is more user-friendly."
"The licensing cost is expensive."
"Sometimes the configuration is not intuitive."
"Automation is very hard."
"I think the UI interface needs to be more user-friendly."
"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 tool should incorporate more tutorials for advanced use cases. It has tutorials for simple use cases."
"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."
"More features must be added to the product."
"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."
"The use case templates could be more precise to typical business needs."
 

Pricing and Cost Advice

"AWS offered some credits, so we have been able to enjoy some of those benefits. The pricing was fair."
"When we want to use more services, we need to pay more. It's a monthly subscription, rather than licensed-based. Pricing or fees for Amazon EC2 Auto Scaling could be improved."
"The licences for this solution are based on the number of instances. This determines the EC2 type that is used and this is then priced accordingly."
"I rate Amazon EC2 Auto Scaling's pricing a seven out of ten."
"Amazon EC2 Auto Scaling uses a pay-as-you-go pricing model."
"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."
"Compared to the performance, the price is quite high. I would rate it a ten because it is expensive. There are additional costs including bandwidth costs, data transfer costs, and load balancing costs."
"The solution is open-source."
"I used the tool's free version."
"We use the free version of Apache NiFi."
"It's an open-source solution."
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Top Industries

By visitors reading reviews
Financial Services Firm
22%
Computer Software Company
16%
University
7%
Government
7%
Financial Services Firm
17%
Computer Software Company
15%
Manufacturing Company
9%
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 structure from AWS is really complex and depends on factors like the region and specific services used. Prices can vary significantly even within the same service across different locat...
What needs improvement with Amazon EC2 Auto Scaling?
There is a need for improvement in understanding the pricing structure, as it is complex and depends on several factors such as the location of data centers.
What needs improvement with Apache NiFi?
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 conversio...
 

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: January 2025.
837,501 professionals have used our research since 2012.