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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 tool helps me to process large data sets while scaling up."
"What we have found most valuable are the purchasing of usage at the time and small storage."
"Applications deployed on EC2 instances can easily integrate with other AWS services. For example, you can connect your EC2 Auto Scaling group to a tool like CloudWatch for health checks and anomaly detection."
"The most valuable feature of Amazon EC2 Auto Scaling is scaling your intra based on the request. Additionally, you are able to map the solution with any load balancer, such as public or private load balancers."
"The solution is highly scalable."
"The support from Amazon EC2 Auto Scaling is very good."
"It uses features like target tracking scaling policy, which automatically maintains CPU utilization levels."
"With the ability to set up rules based on demand, network, or traffic, the service offers a necessary level of adaptability."
"We can integrate the tool with other applications easily."
"Visually, this is a good product."
"The initial setup is very easy."
"It is highly effective for handling real-time data by working with APIs for immediate and continuous data extraction."
"The user interface is good and makes it easy to design very popular workflows."
"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."
"It's an automated flow, where you can build a flow from source to destination, then do the transformation in between."
 

Cons

"The product should improve vertical scaling features."
"There is room for improvement in the scalability."
"The solution is not cheap."
"Amazon EC2 Auto Scaling can provide more discounts when using the machines the solution uses."
"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."
"EC2 is doing what it is intended to do, and I have no specific improvements to suggest."
"The documentation for this solution could be improved. For example, it is difficult to find documentation for integration with applications."
"It should work for the cloud, cloud monitoring features, and DevOps processes. It should automatically enable features for downscaling and upscaling."
"The quality of JSON data processing could be improved, as JSON workloads require manual conversions without a specific process."
"The tool should incorporate more tutorials for advanced use cases. It has tutorials for simple use cases."
"I think the UI interface needs to be more user-friendly."
"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."
"More features must be added to the product."
"There should be a better way to integrate a development environment with local tools."
 

Pricing and Cost Advice

"There is no specific pricing for Amazon EC2 Auto Scaling, but we have to pay for the number of machines getting scaled up."
"The price of this product could be a little bit lower."
"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."
"It's cost-effective."
"The pricing is not fixed and it is based on usage."
"The solution's licensing is based on a pay-as-you-go model. You only pay for the resources you use, whether it's RAM, processing power, or storage. So, it's calculated based on the time you use those resources, typically billed in hours or minutes."
"The solution pricing varies by service region is mid-range."
"The product's pricing depends on the traffic and workload."
"We use the free version of Apache NiFi."
"The solution is open-source."
"I used the tool's free version."
"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
14%
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.
838,533 professionals have used our research since 2012.