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Apache NiFi Reviews

Vendor: Apache
3.9 out of 5
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What is Apache NiFi?

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.
Get the Apache NiFi Buyer's Guide and find out what your peers are saying about Apache NiFi, Apache Spark, AWS Lambda and more!
Apache NiFi is the #8 ranked solution in top Compute Service solutions. PeerSpot users give Apache NiFi an average rating of 7.8 out of 10. Apache NiFi is most commonly compared to Apache Spark: Apache NiFi vs Apache Spark. Apache NiFi is popular among the large enterprise segment, accounting for 63% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a manufacturing company, accounting for 16% of all views.
Buyer's Guide
Apache NiFi
December 2025
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Apache NiFi mindshare

As of December 2025, the mindshare of Apache NiFi in the Compute Service category stands at 9.5%, up from 7.9% compared to the previous year, according to calculations based on PeerSpot user engagement data.
Compute Service Market Share Distribution
ProductMarket Share (%)
Apache NiFi9.5%
AWS Lambda15.2%
AWS Batch14.1%
Other61.2%
Compute Service

PeerResearch reports based on Apache NiFi reviews

TypeTitleDate
CategoryCompute ServiceDec 30, 2025Download
ProductReviews, tips, and advice from real usersDec 30, 2025Download
ComparisonApache NiFi vs AWS LambdaDec 30, 2025Download
ComparisonApache NiFi vs AWS FargateDec 30, 2025Download
ComparisonApache NiFi vs Apache SparkDec 30, 2025Download
Suggested products
TitleRatingMindshareRecommending
Apache Spark4.211.4%90%68 interviewsAdd to research
AWS Lambda4.315.2%94%90 interviewsAdd to research
 
 
Key learnings from peers
Last updated Dec 28, 2025

Valuable Features

Apache NiFi offers a remarkable web-based UI, simplifying data flow management. Users appreciate the drag-and-drop functionality, Java extensibility, built-in provenance capturing, and extensive integration capabilities. Its ability to handle real-time data and scale efficiently is valued. NiFi's flexibility in creating and maintaining workflows, custom transformations, and connectors enhances development speed. The platform supports diverse data sources, promoting smooth transitions between environments while maintaining reliability and reducing development time for many organizations.
  • "Apache NiFi is the heart of data ingestion for the entire platform and tremendously makes the platform reliable and useful for customers without crossing any SLAs."
  • "Apache NiFi provides huge relief for all teams with similar use cases for ETL purposes, and it supports not just ETL but also ELT, allowing us to save significant time."
  • "Apache NiFi has positively impacted the organization by making development really easy, allowing efficient design and development, and enabling code reuse which has reduced the development effort."

Room for Improvement

Apache NiFi requires enhancements in integration with development environments, cloud-native capabilities, user interface design, and scalability. Users encounter stability issues and intricate operations, necessitating improvements in logging, error handling, and tutorial availability. Integrating better with tools like Kafka, bolstering security features, and streamlining deployment processes are sought. Enhanced monitoring and alert systems, access to metadata, and simplified configurations for migrations are desired. There is a call for expanded support for binary data and custom processors.
  • "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."
  • "The reason I rate Apache NiFi a seven is that most development folks are afraid to start using Apache NiFi because, to begin with, it does not always directly make sense."
  • "Improvements in the user interface to make it easier to use would be beneficial, and adding more security features would make Apache NiFi more secure and robust."

ROI

Organizations find value in Apache NiFi due to its open-source nature, which has led to significant time savings. Teams have experienced increased efficiency, reducing intervention time and handling queues more smoothly. While one notes no measurable financial gain, others report considerable time-saving benefits and successful workload transitions. Although technology debt is noted by some, the general feedback highlights Apache NiFi's positive impact on development and support for ETL/ELT processes.

Pricing

Enterprise buyers find Apache NiFi highly affordable due to its open-source nature, offering free setup and usage. Maintenance costs are minimal, covering only server operations. While some report cost considerations when integrating with other platforms like Cloudera, as a standalone tool, Apache NiFi provides excellent pricing value. Users highlight significant time savings and efficiency gains, reinforcing its cost-effectiveness despite regional pricing variations.
  • "I used the tool's free version."
  • "The solution is open-source."
  • "We use the free version of Apache NiFi."

Popular Use Cases

Organizations use Apache NiFi for diverse data integration tasks, including collecting data from different sources, orchestrating ingestion processes, building data pipelines, and managing ETL workflows. It supports data migration, real-time and batch data ingestion, and transformation. Apache NiFi integrates well with technologies like Kafka, Spark, and cloud services, providing robust monitoring and metrics capabilities. Users leverage its graphical UI for creating data flows, simplifying data handling across various platforms from Oracle to AWS.

Service and Support

Apache NiFi's support relies heavily on community and documentation due to its open-source nature. Some find official help slow and minimal, but useful online resources and an active community offset this. Cloudera users benefit from better service. Teams often resolve issues independently after initial learning. Advanced users rarely seek support and find documentation sufficient. While some rate customer service highly, others cite delays.

Deployment

Apache NiFi's initial setup is mostly straightforward. Installation is easy, with flexibility in changing port settings. For on-premises deployment, it's uncomplicated, while cloud setups may require more effort. Documentation is clear, enabling users to proceed independently. Single-node installations are quick, but multi-node clusters may take additional time for configuration. Users found it resource-intensive on personal laptops but effective on proper servers. Experiences with cloud services, such as AWS, have been smooth.

Scalability

Apache NiFi is considered scalable but presents mixed feedback. Some report seamless scalability and efficient resource management, often when used with Kubernetes. In contrast, others highlight challenges such as limited scalability in specific versions and difficulties scaling down. Organizations frequently expand usage, with scaling done by adding nodes or larger machines. While some experience smooth scalability on multiple nodes, others note constraints like memory and warn about issues compared to other solutions.

Stability

Apache NiFi is generally stable when used correctly, although some users experience occasional issues with memory and process stability, particularly in distributed environments. Many rate its stability positively, mentioning it runs well in development and QA. Some users noted crashes and logging gaps. Proper resource and process management can enhance stability, with ratings typically ranging from seven to eight out of ten.
These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.
Download our Apache NiFi Buyer's Guide for additional reliable information.

Review data by company size

By reviewers
Company SizeCount
Small Business5
Midsize Enterprise1
Large Enterprise15
By reviewers
By visitors reading reviews
Company SizeCount
Small Business67
Midsize Enterprise37
Large Enterprise174
By visitors reading reviews

Top industries

By visitors reading reviews
Manufacturing Company
16%
Computer Software Company
12%
Financial Services Firm
11%
University
8%
Retailer
7%
Government
5%
Comms Service Provider
5%
Media Company
5%
Marketing Services Firm
3%
Wholesaler/Distributor
3%
Recreational Facilities/Services Company
2%
Construction Company
2%
Educational Organization
2%
Real Estate/Law Firm
2%
Hospitality Company
2%
Insurance Company
2%
Healthcare Company
2%
Consumer Goods Company
1%
Energy/Utilities Company
1%
Legal Firm
1%
Outsourcing Company
1%
Engineering Company
1%
Logistics Company
1%
Renewables & Environment Company
1%
Non Profit
1%
Computer Retailer
1%

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Apache NiFi customers

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

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Product Categories

Product Categories
Compute Service

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Apache NiFi Reviews Summary
Author infoRatingReview Summary
architect with 51-200 employees4.0I've used Apache NiFi for six years as our core data ingestion tool due to its no-code interface, scalability, and ease of debugging, though improvements in deployment and CI/CD integration would enhance its usability.
Data Engineer at The Kudelski Group4.0I use Apache NiFi daily for integrating and transforming data into Elasticsearch, appreciating its flexibility, Python integration, and cost-efficiency, though improved error handling and built-in monitoring would enhance its usability.
Cloud Data Architect at a healthcare company with 10,001+ employees4.0I've found Apache NiFi highly effective for ETL tasks, with great scalability, connector support, and performance. It simplifies development and boosts productivity, though its UI and documentation could improve. Overall, it's my preferred ETL solution.
Team Lead Technical Specialist (Production Support) at a recreational facilities/services company with 11-50 employees3.5I've been using Apache NiFi for ETL and ELT workflows, mainly before ingesting data into Snowflake, and while it offers strong integration and standardization benefits, its logging and UI need improvements for better usability.
Manager at a tech company with 10,001+ employees4.0I've used Apache NiFi mainly for orchestration between on-premises and cloud systems; its low-code interface saves development time, though it needs better AI integration, stability improvements, and enhanced connectivity with other tools.
Senior Consultant - Data Analytics at a comms service provider with 201-500 employees2.5I've found Apache NiFi easy to use for data ingestion, especially with limited coding skills, but it lacks scalability, version control, and creates tech debt, making it costly and outdated despite saving time in development.
Partner at a tech vendor with 10,001+ employees4.5I've used Apache NiFi for five years for real-time data ingestion into AWS Redshift, appreciating its drag-and-drop simplicity, stability, and scalability, which sped up projects and cut costs by 30%, though ROI metrics weren't tracked.
Senior Developer at Infosys4.0No summary available