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Apache NiFi vs Spot by Flexera comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 19, 2026

Review summaries and opinions

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

ROI

Sentiment score
4.8
Apache NiFi users experience significant time savings and improved efficiency, although exact cost benefits aren't always quantifiable.
Sentiment score
7.6
Spot by Flexera enabled substantial savings in compute costs and enhanced efficiency, though ROI may take longer for some.
Thanks to improvements on both our side in how we run processes and enhancements to Apache NiFi, we have reduced the time commitment to almost not needing to interact with Apache NiFi except for minor queue-clearance tasks, allowing it to run smoothly.
Data Engineer at The Kudelski Group
It supports not just ETL but also ELT, allowing us to save significant time.
Team Lead Technical Specialist (Production Support) at a recreational facilities/services company with 11-50 employees
There may be return on investment based on the technology and easily moving our workloads onto Apache NiFi from our previous system.
Senior Consultant - Data Analytics at a comms service provider with 201-500 employees
Our technology predicts demand, selects the cheapest instance mix, sizes the workloads appropriately, and scales it automatically based on policy, resulting in significant savings by reducing manual work and enhancing our flexibility, which has helped accelerate our deployments.
Global Hyperscaler Alliances Director at a tech vendor with 1,001-5,000 employees
I cannot share the exact number, but I can share the figure that my EC2 and EKS compute cost reduced by around 65 to 75% with Spot.
Dev Ops Engineer at a construction company with 11-50 employees
 

Customer Service

Sentiment score
5.7
Apache NiFi users find support adequate, using documentation and forums, with mixed reviews on official support and positive Cloudera experiences.
Sentiment score
8.4
Spot by Flexera's customer service is highly rated for its excellent technical support, responsiveness, and reliability, ensuring customer satisfaction.
The customer support is really good, and they are helpful whenever concerns are posted, responding immediately.
Cloud Data Architect at a healthcare company with 10,001+ employees
Customer support for Apache NiFi has been excellent, with minimal response times whenever we raise cases that cannot be directly addressed by logs.
Team Lead Technical Specialist (Production Support) at a recreational facilities/services company with 11-50 employees
I would rate the customer support of Apache NiFi a 10 on a scale of 1 to 10.
Partner at a tech vendor with 10,001+ employees
I would rate the customer support a nine out of ten.
Global Hyperscaler Alliances Director at a tech vendor with 1,001-5,000 employees
 

Scalability Issues

Sentiment score
6.7
Apache NiFi's scalability varies; some users succeed with clusters, while others struggle without Kubernetes, impacting implementation.
Sentiment score
7.4
Spot by Flexera is highly scalable, effectively supporting multiple users across environments, particularly with AWS services, boosting user confidence.
Depending on the workload we process, it remains stable since at the end of the day, it is just used as an orchestration tool that triggers the job while the heavy lifting is done on Spark servers.
Manager at a tech company with 10,001+ employees
Scaling up is fairly straightforward, provided you manage configurations effectively.
Data Engineer at The Kudelski Group
Based on the workload, more nodes can be added to make a bigger cluster, which enhances the cluster whenever needed.
Cloud Data Architect at a healthcare company with 10,001+ employees
Spot's scalability is quite good, and it can be expanded to multiple environments.
Dev Ops Engineer at a construction company with 11-50 employees
 

Stability Issues

Sentiment score
7.4
Apache NiFi is generally stable but may face occasional crashes and reliability challenges, especially in distributed environments.
Sentiment score
7.0
Spot by Flexera is mostly stable and reliable, though some users report occasional bugs indicating room for improvement.
I have seen Apache NiFi crashing at times, which is one of the issues we have faced in production.
Manager at a tech company with 10,001+ employees
Apache NiFi is stable in most cases.
Senior Consultant - Data Analytics at a comms service provider with 201-500 employees
 

Room For Improvement

Apache NiFi needs improved integration, UI, scalability, security features, and seamless CI/CD processes for enhanced usability and efficiency.
Spot by Flexera needs OCI support, better multi-cloud integration, and UI improvements, though it's stable and mature.
Apache NiFi should have APIs or connectors that can connect seamlessly to other external entities, whether in the cloud or on-premises, creating a plug-and-play mechanism.
Manager at a tech company with 10,001+ employees
The history of processed files should be more readable so that not only the centralized teams managing Apache NiFi but also application folks who are new to the platform can read how a specific document is traversing through Apache NiFi.
Team Lead Technical Specialist (Production Support) at a recreational facilities/services company with 11-50 employees
The initial error did not indicate it was related to memory or size limitations but appeared as a parsing error or something similar.
Data Engineer at The Kudelski Group
Continuously making advancements based on customer feedback.
Global Hyperscaler Alliances Director at a tech vendor with 1,001-5,000 employees
Spot could be improved by adding features that help identify data to optimize storage costs by detecting datasets within our environment based on criteria such as age and usage.
AVP DevOps and Product Support at a recruiting/HR firm with 1,001-5,000 employees
More guided onboarding would help teams adopt advanced features faster.
Dev Ops Engineer at a construction company with 11-50 employees
 

Setup Cost

Apache NiFi is an open-source solution with no setup costs, offering time-saving efficiencies despite potential integration expenses.
Enterprise users praise Spot by Flexera's pricing and setup, with structured management of licensing, via AWS Marketplace.
The pricing in Italy is considered a little bit high, but the product is worth it.
Partner at a tech vendor with 10,001+ employees
The pricing is reasonable and convenient, and the value it offers is completely in line with what I am spending.
Dev Ops Engineer at a construction company with 11-50 employees
 

Valuable Features

Apache NiFi simplifies data flow orchestration with drag-and-drop features, scalability, and integration, enhancing productivity and reliability.
Spot by Flexera offers cost optimization, Kubernetes management, and security compliance with intelligent autoscaling, AWS integration, and AI-driven insights.
Apache NiFi has positively impacted my organization by definitely bridging the gap between the on-premises and cloud interaction until we find a solution to open the firewall for cloud components to directly interact with on-premises services.
Manager at a tech company with 10,001+ employees
Development has improved with a reduction in time spent being the main benefit; before we needed a matter of days to create the ingestion flows, but now it only takes a couple of hours to configure.
Senior Data Engineer at a tech vendor with 10,001+ employees
The ease of use in Apache NiFi has helped my team because anyone can learn how to use it in a short amount of time, so we were able to get a lot of work done.
Senior Consultant - Data Analytics at a comms service provider with 201-500 employees
Spot's automated cost optimization works by continuously analyzing the workload and applying policies to minimize cloud spend without sacrificing performance.
Global Hyperscaler Alliances Director at a tech vendor with 1,001-5,000 employees
The fact that it can mix dozens of instance families dynamically is something which the AWS native autoscalers simply cannot do.
Dev Ops Engineer at a construction company with 11-50 employees
Spot helps us detect such changes within AWS at least one hour prior, allowing us to have a mitigation plan in place and host other servers within the same setup to avoid impacting the application.
AVP DevOps and Product Support at a recruiting/HR firm with 1,001-5,000 employees
 

Categories and Ranking

Apache NiFi
Ranking in Compute Service
7th
Average Rating
7.8
Reviews Sentiment
5.3
Number of Reviews
22
Ranking in other categories
No ranking in other categories
Spot by Flexera
Ranking in Compute Service
9th
Average Rating
8.6
Reviews Sentiment
7.5
Number of Reviews
5
Ranking in other categories
Cloud Management (20th), Server Virtualization Software (14th), Cloud Operations Analytics (1st), Cloud Analytics (2nd), Containers as a Service (CaaS) (3rd), Cloud Cost Management (5th)
 

Mindshare comparison

As of February 2026, in the Compute Service category, the mindshare of Apache NiFi is 9.3%, up from 7.9% compared to the previous year. The mindshare of Spot by Flexera is 4.3%, up from 1.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Compute Service Market Share Distribution
ProductMarket Share (%)
Apache NiFi9.3%
Spot by Flexera4.3%
Other86.4%
Compute Service
 

Featured Reviews

YV
architect with 51-200 employees
Unified data flows have simplified large-scale ingestion and have improved SLA reliability
Improvements can be made in the way of the UI. From the deployment perspective, Git configurations are available in 2.6 versions and 2.0 and later versions of Apache NiFi. Before 2.0, templates had to be created and stored in Apache NiFi Registry, which is available. However, templates still need to be imported and exported manually if moving from one environment to another environment. Even in 2.0 versions, although GitHub configurations are available, how it will function needs to be evaluated. Seamless CI/CD deployments are somewhat tricky and challenging when it comes to Apache NiFi with the proper approvals, moving that flow to another environment, and giving the proper RBAC controls. These are areas that could be improved. Documentation is adequate, but the only pain point is the deployment aspect.
KS
Dev Ops Engineer at a construction company with 11-50 employees
Intelligent autoscaling has cut compute costs and now manages ephemeral workloads efficiently
I think overall Spot is quite good. The UI is powerful, but it can feel a bit dense for some new users. More guided onboarding would help teams adopt advanced features faster, and deeper insights into Kubernetes resource usage would be beneficial. Overall, it is a really good platform that is quite mature and stable. I chose a rating of nine because it may sometimes be a bit overwhelming for newcomers, and there are also a few areas in which the EKS Kubernetes level granularity is a little missing. Overall, I think Spot is a really good and stable tool.
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Top Industries

By visitors reading reviews
Manufacturing Company
15%
Computer Software Company
10%
Financial Services Firm
9%
University
7%
Manufacturing Company
18%
Computer Software Company
14%
Healthcare Company
7%
Financial Services Firm
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business5
Midsize Enterprise1
Large Enterprise18
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for Apache NiFi?
The experience with pricing, setup cost, and licensing was fine, as the integration with the AWS Marketplace was very good. The pricing in Italy is considered a little bit high, but the product is ...
What needs improvement with Apache NiFi?
Improvements can be made in the way of the UI. From the deployment perspective, Git configurations are available in 2.6 versions and 2.0 and later versions of Apache NiFi. Before 2.0, templates had...
What is your primary use case for Apache NiFi?
Apache NiFi is used to fetch data from different sources and ingest it into different destinations. The entire platform depends on Apache NiFi for data transformation and data movement. Multiple so...
What do you like most about Spot Ocean?
The solution helps us to manage and scale automatically whenever there is a limit to the increase in the application workflow.
What needs improvement with Spot Ocean?
I think overall Spot is quite good. The UI is powerful, but it can feel a bit dense for some new users. More guided onboarding would help teams adopt advanced features faster, and deeper insights i...
What is your primary use case for Spot Ocean?
My primary use case for Spot revolves around managing and optimizing my compute infrastructure across AWS, mainly EC2 and EKS on a daily basis, such as monitoring the workloads and ensuring that Ku...
 

Comparisons

 

Also Known As

No data available
Spot Ocean, Spot Elastigroup, Spot Eco
 

Overview

 

Sample Customers

Macquarie Telecom Group, Dovestech, Slovak Telekom, Looker, Hastings Group
Freshworks, Zalando, Red Spark, News, Trax, ETAS, Demandbase, BeesWa, Duolingo, intel, IBM, N26, Wix, EyeEm, moovit, SAMSUNG, News UK, ticketmaster
Find out what your peers are saying about Apache NiFi vs. Spot by Flexera and other solutions. Updated: December 2025.
881,515 professionals have used our research since 2012.