Apache NiFi Reviews

Name: Apache NiFi
Brand: Apache
Rating: 3.9 (22 reviews)

Vendor: Apache

3.9 out of 5

22 reviews
95% willing to recommend

Leave a review

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.

Helped 879,310 peers since 2012

Featured Apache NiFi reviews

Yamini Vadlamudi

architect with 51-200 employees

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.

Read full review

Bj Tan

Data Engineer at The Kudelski Group

I believe Apache NiFi could be improved with easier, out-of-the-box provided monitoring solutions. While Apache NiFi has an API that generates logs, it would be beneficial to have simpler access to that data saved historically. It would assist in easily retrieving data for historical analysis and storing it elsewhere without the hassle of setting up APIs and delving into documentation. Just having a more streamlined approach to collecting this data would be greatly advantageous. I would suggest continuous improvements regarding the custom developer-built processors, as many times the errors that arise are not useful. We often seem to struggle with a combination of implementing our own error handling or analyzing logs, as the information does not always align or proves unhelpful. Continuous enhancement in this area would be wonderful, so we do not need to decipher which error is more accurate or which report gets us nearer to the actual problem. For instance, I encountered a situation where flow files would not process; they were retried but returned to the queue before the Python processor due to ambiguous errors. It eventually turned out that the issue was the flow files' size being too large for the Python processor, which we only discovered by splitting the flow files, at which point the issue resolved. The initial error did not indicate it was related to memory or size limitations but appeared as a parsing error or something similar.

Read full review

reviewer2785560

Cloud Data Architect at a healthcare company with 10,001+ employees

To train or onboard new team members to use Apache NiFi, the code has been modularized and processes have been documented really well, so when new team members are onboarded, they are asked to review that documentation to understand the processes and the modules that have been created. In a couple of days, once they go through all that material, they are up to speed. In terms of flexibility and ease of use, Apache NiFi is more open compared to other ETL tools that have been used, such as Informatica and Teradata. It is open source with many contributors and can handle various data sources, including log data, structured, unstructured, and semi-structured data, unlike traditional ETL tools. Tools such as Prometheus and Grafana are sometimes used to keep an eye on Apache NiFi server, and DataDog is also used along with it. Scaling Apache NiFi workloads is managed through auto-scaling. To handle data security and compliance when using Apache NiFi, LDAP authentication is utilized, all clusters and nodes are kerberized, and single sign-on is used to authenticate. In transit, SSL encryption is used, and at rest, AES encryption is used, which is more than enough for the needs. Apache NiFi is kept up to date by keeping an eye on new features that have been released, discussing them internally to assess if they need to be incorporated into development. If there are any gaps in the current version, an upgrade to the new version will be attempted. Apache NiFi is a pretty good tool that meets most ETL needs, and in terms of performance and security, it is really good. After using it for quite some time without any issues, it is recommended as the number one tool for ETL. The overall review rating for Apache NiFi is 8 out of 10.

Read full review

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
Product	Market Share (%)
Apache NiFi	9.5%
AWS Lambda	15.2%
AWS Batch	14.1%
Other	61.2%

Compute Service

PeerResearch reports based on Apache NiFi reviews

Type	Title	Date
Category	Compute Service	Dec 30, 2025	Download
Product	Reviews, tips, and advice from real users	Dec 30, 2025	Download
Comparison	Apache NiFi vs AWS Lambda	Dec 30, 2025	Download
Comparison	Apache NiFi vs AWS Fargate	Dec 30, 2025	Download
Comparison	Apache NiFi vs Apache Spark	Dec 30, 2025	Download

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 Size	Count
Small Business	5
Midsize Enterprise	1
Large Enterprise	15

By reviewers

By visitors reading reviews
Company Size	Count
Small Business	67
Midsize Enterprise	37
Large Enterprise	174

By visitors reading reviews

Top industries

By visitors reading reviews

Manufacturing Company

16%

Computer Software Company

12%

Financial Services Firm

11%

University

Retailer

Government

Comms Service Provider

Media Company

Marketing Services Firm

Wholesaler/Distributor

Recreational Facilities/Services Company

Construction Company

Educational Organization

Real Estate/Law Firm

Hospitality Company

Insurance Company

Healthcare Company

Consumer Goods Company

Energy/Utilities Company

Legal Firm

Outsourcing Company

Engineering Company

Logistics Company

Renewables & Environment Company

Non Profit

Computer Retailer

Compare Apache NiFi with alternative products

Learn more about Apache NiFi

Apache NiFi customers

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

Product Categories

Compute Service

Popular Comparisons

Apache Spark vs Apache NiFi

AWS Lambda vs Apache NiFi

Zadara vs Apache NiFi

AWS Batch vs Apache NiFi

AWS Fargate vs Apache NiFi

Amazon EC2 vs Apache NiFi

Amazon EC2 Auto Scaling vs Apache NiFi

Oracle Compute Cloud Service vs Apache NiFi

Apache Storm vs Apache NiFi

See all alternatives

Apache NiFi Reviews Summary
Author info	Rating	Review Summary
architect with 51-200 employees	4.0	I'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 Group	4.0	I 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+ employees	4.0	I'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 employees	3.5	I'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+ employees	4.0	I'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 employees	2.5	I'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+ employees	4.5	I'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 Infosys	4.0	No summary available

Title	Rating	Mindshare	Recommending
Apache Spark	4.2	11.4%	90%	68 interviews Add to research
AWS Lambda	4.3	15.2%	94%	90 interviews Add to research

Apache NiFi Reviews

What is Apache NiFi?

Featured Apache NiFi reviews

Apache NiFi mindshare

PeerResearch reports based on Apache NiFi reviews

Valuable Features

Room for Improvement

ROI

Pricing

Popular Use Cases

Service and Support

Deployment

Scalability

Stability

Review data by company size

Top industries

Compare Apache NiFi with alternative products

Learn more about Apache NiFi

Apache NiFi customers

Related questions

Product Categories

Popular Comparisons