AWS Batch vs Apache NiFi comparison

Apache and Amazon Web Services (AWS) are both solutions in the Compute Service category. Apache is ranked #8 with an average rating of 7.7, while Amazon Web Services (AWS) is ranked #4 with an average rating of 8.4. Apache holds a 8.4% mindshare in CS, compared to Amazon Web Services (AWS)’s 20.5% mindshare. Additionally, 92% of Apache users are willing to recommend the solution, compared to 100% of Amazon Web Services (AWS) users who would recommend it.

Apache NiFi

Read 13 Apache NiFi reviews

1,706 Views
764 Comparison Views

92% willing to recommend

AWS Batch

Read 10 AWS Batch reviews

1,891 Views
1,649 Comparison Views

100% willing to recommend

Apache NiFi

AWS Batch

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Apache NiFi and AWS Batch 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.

To learn more, read our detailed AWS Batch vs. Apache NiFi Report (Updated: April 2025).

Buyer's Guide

AWS Batch vs. Apache NiFi

April 2025

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Helped 851,604 peers since 2012

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

Apache NiFi

Ranking in Compute Service

8th

Average Rating

7.8

Number of Reviews

Ranking in other categories

No ranking in other categories

AWS Batch

Ranking in Compute Service

4th

Average Rating

8.4

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of May 2025, in the Compute Service category, the mindshare of Apache NiFi is 8.4%, up from 7.5% compared to the previous year. The mindshare of AWS Batch is 20.5%, up from 16.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Compute Service

Featured Reviews

Bharghava Raghavendra Beesa

Senior Developer at Infosys

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.

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Larry Singh

Head of Bioinformatics at Paratus Sciences

User-friendly, good customization and offers exceptional scalability, allowing users to run jobs ranging from 32 cores to over 2,000 cores

The main drawback to using AWS Batch would be the cost. It will be more expensive in some cases than using an HPC. It's more amenable to cases where you have spot requirements. So, for instance, you don't exactly know how much compute resources you'll need and when you'll need them. So it's much better for that flexibility. But if you're going to be running jobs consistently and using the compute cluster consistently for a lot of time, and it's not going to have a lot of downtime, then the HPC system might be a better alternative. So, really, it boils down to cost versus usage trade-offs. It's going to be more expensive for a lot of people. In future releases, I would like to see anything that could help make it easier to set up your initial system. And besides improving the GUI a little bit, the interface to it, making it a little bit more descriptive and having more information at your fingertips, so if you could point to the help of what the different features are, you can get quick access to that. That might help. With most of the AWS services, the difficulty really is getting information and knowledge about the system and seeing examples. So, seeing examples of how it's being used under multiple use cases would be the best way to become familiar with it. And some of that would just come with experience. You have to just use it and play with it. But in terms of the system itself, it's not that difficult to set up or use.

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Quotes from Members

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

Pros

"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."

"The most valuable features of this solution are ease of use and implementation."

"It's an automated flow, where you can build a flow from source to destination, then do the transformation in between."

"Visually, this is a good product."

"It is highly effective for handling real-time data by working with APIs for immediate and continuous data extraction."

"The initial setup is very easy."

"We can integrate the tool with other applications easily."

More Apache NiFi pros

"AWS Batch manages the execution of computing workload, including job scheduling, provisioning, and scaling."

"We can easily integrate AWS container images into the product."

"AWS Batch's deployment was easy."

"There is one other feature in confirmation or call confirmation where you can have templates of what you want to do and just modify those to customize it to your needs. And these templates basically make it a lot easier for you to get started."

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."

"The use case templates could be more precise to typical business needs."

"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."

"There are some claims that NiFi is cloud-native but we have tested it, and it's not."

"I think the UI interface needs to be more user-friendly."

"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."

More Apache NiFi cons

"AWS Batch needs to improve its documentation."

"The main drawback to using AWS Batch would be the cost. It will be more expensive in some cases than using an HPC. It's more amenable to cases where you have spot requirements."

"The solution should include better and seamless integration with other AWS services, like Amazon S3 data storage and EC2 compute resources."

"When we run a lot of batch jobs, the UI must show the history."

Pricing and Cost Advice

"I used the tool's free version."

"The solution is open-source."

"It's an open-source solution."

"We use the free version of Apache NiFi."

"AWS Batch's pricing is good."

"AWS Batch is a cheap solution."

"The pricing is very fair."

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Top Industries

By visitors reading reviews

Financial Services Firm

16%

Computer Software Company

14%

Manufacturing Company

10%

Retailer

Financial Services Firm

28%

Computer Software Company

11%

Manufacturing Company

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

What do you like most about Apache NiFi?

The initial setup is very easy.

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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.

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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 ...

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Which is better, AWS Lambda or Batch?

AWS Lambda is a serverless solution. It doesn’t require any infrastructure, which allows for cost savings. There is no setup process to deal with, as the entire solution is in the cloud. If you use...

See all answers

What do you like most about AWS Batch?

AWS Batch manages the execution of computing workload, including job scheduling, provisioning, and scaling.

See all answers

What is your experience regarding pricing and costs for AWS Batch?

Pricing is good, as AWS Batch allows specifying spot instances, providing cost-effective solutions when launching jobs and spinning up EC2 instances.

See all answers

Comparisons

AWS Lambda vs Apache NiFi

Compared 30% of the time

Google Cloud Dataflow vs Apache NiFi

Compared 28% of the time

Apache Spark vs Apache NiFi

Compared 14% of the time

AWS Fargate vs Apache NiFi

Compared 10% of the time

Azure Stream Analytics vs Apache NiFi

Compared 7% of the time

More Apache NiFi Competitors

AWS Lambda vs AWS Batch

Compared 56% of the time

Apache Spark vs AWS Batch

Compared 23% of the time

Amazon EC2 vs AWS Batch

Compared 6% of the time

Oracle Compute Cloud Service vs AWS Batch

Compared 6% of the time

AWS Fargate vs AWS Batch

Compared 6% of the time

More AWS Batch Competitors

Product Reports

Buyer's Guide

Apache NiFi

May 2025

Download Apache NiFi product report

Buyer's Guide

AWS Batch

May 2025

Download AWS Batch product report

Also Known As

No data available

Amazon Batch

Overview

Apache NiFi is an easy to use, powerful, and reliable system to process and distribute data. It supports powerful and scalable directed graphs of data routing, transformation, and system mediation logic.

Apache

AWS Batch enables developers, scientists, and engineers to easily and efficiently run hundreds of thousands of batch computing jobs on AWS. AWS Batch dynamically provisions the optimal quantity and type of compute resources (e.g., CPU or memory optimized instances) based on the volume and specific resource requirements of the batch jobs submitted. With AWS Batch, there is no need to install and manage batch computing software or server clusters that you use to run your jobs, allowing you to focus on analyzing results and solving problems. AWS Batch plans, schedules, and executes your batch computing workloads across the full range of AWS compute services and features, such as Amazon EC2 and Spot Instances.

Amazon Web Services (AWS)

Sample Customers

Macquarie Telecom Group, Dovestech, Slovak Telekom, Looker, Hastings Group

Hess, Expedia, Kelloggs, Philips, HyperTrack

Buyer's Guide

AWS Batch vs. Apache NiFi

April 2025

Free Report: AWS Batch vs. Apache NiFi

Find out what your peers are saying about AWS Batch vs. Apache NiFi and other solutions. Updated: April 2025.

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