We performed a comparison between Amazon EC2 Auto Scaling and Apache NiFi based on real PeerSpot user reviews.
Find out in this report how the two Compute Service solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."Amazon EC2 Auto Scaling has good integration."
"We use the solution to increase CPU and memory size."
"Can handle traffic spikes so the system doesn't overload."
"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 product is flexible."
"The initial setup is straightforward."
"The documentation is good."
"The support from Amazon EC2 Auto Scaling is very good."
"It's an automated flow, where you can build a flow from source to destination, then do the transformation in between."
"The most valuable feature has been the range of clients and the range of connectors that we could use."
"The user interface is good and makes it easy to design very popular workflows."
"Visually, this is a good product."
"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 initial setup is very easy."
"As we are transitioning to managing containerized applications, the solution could improve by adding more managed container services as a feature in the solution."
"The primary area for improvement is the pricing model."
"It's an expensive solution."
"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."
"The product does not explain why a particular instance is terminated."
"The solution could improve by having more automation. Nowadays there is a vast variety of automation. Additionally, infrastructure monitoring could improve."
"Its stability and scalability need improvement."
"The support to manage the processes could be better."
"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."
"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 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."
"More features must be added to the product."
"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."
Amazon EC2 Auto Scaling is ranked 2nd in Compute Service with 37 reviews while Apache NiFi is ranked 8th in Compute Service with 10 reviews. Amazon EC2 Auto Scaling is rated 8.8, while Apache NiFi is rated 7.8. The top reviewer of Amazon EC2 Auto Scaling writes "Well-documented setup process and highly stable solution". On the other hand, the top reviewer of Apache NiFi writes "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". Amazon EC2 Auto Scaling is most compared with AWS Fargate, AWS Lambda, AWS Batch and Amazon Elastic Inference, whereas Apache NiFi is most compared with Google Cloud Dataflow, AWS Lambda, Apache Spark and Azure Stream Analytics. See our Amazon EC2 Auto Scaling vs. Apache NiFi report.
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We monitor all Compute Service reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
