n8n Reviews

My main use case for n8n is automation work and exploring or integrating with different tools. I have used n8n with WooCommerce, WordPress, WhatsApp, and Telegram for chat using AI, and I have integrated n8n with WATI. I have automated WooCommerce product additions to WordPress and created a chatbot using the ChatGPT API on WhatsApp, as well as booking appointments using Calendar.

The best features n8n offers are automation and integration with different tools including Calendar, Gmail, WATI, and many other tools, which help me complete my work faster. The automation capabilities are excellent. I can host it freely on AWS and on my local machine, and this is better than other platforms available on the market.

n8n has positively impacted my organization by making our work faster and automated, eliminating the need to do everything manually. For my automations, it has saved approximately six to seven hours.

I want n8n to be more stable as it is really slow sometimes. I would also appreciate additional features and different tool integrations. While n8n has integrations, adding more tools and making them easier to work with would be beneficial, as sometimes it becomes difficult to use.

I chose a rating of seven out of ten because n8n has everything I need, but it could be improved in terms of stability, security, and speed to become faster and easier to use. In my experience, n8n is not very stable, but it has the potential to be more stable.

I have been working in my current field for two years.

In my experience, n8n is not very stable, but it has the potential to be more stable.

n8n has handled increased workloads well for me.

I have not yet interacted with customer support because I did not need that support; n8n has provided me with everything I needed.

I have been using make.com, but make is really complex and does not provide many tool integrations, and the user interface is not very good. Due to these limitations, I switched to n8n.

n8n provides a strong return on investment and is very helpful and cost-optimized. Using n8n is more cost-effective compared to other tools, and you do not have to spend much money on n8n in comparison to other solutions.

I have used n8n free and the self-hosted version, so I do not have information about the pricing and other details.

I did not evaluate other options before choosing n8n as I already knew I wanted to use n8n.

I would advise others to first explore n8n with different small automation projects and then move to larger automations. It can sometimes become complex and difficult to learn, so approaching it step-by-step and not starting with large projects is recommended. I have covered most aspects, but I want to emphasize the importance of making n8n simpler and easier to use. I provided this review with a rating of seven out of ten.

Public Cloud

Amazon Web Services (AWS)

We have utilized n8n for social media marketing for one of the clients, and for other clients, we have implemented this local implementation for one of their internal businesses. Apart from that, we have automated a lot of different other business processes, cold outreach, LinkedIn outreach campaigns and automations for different clients. People are sending out emails to different leads, and eventually when the lead responds back, we integrated it with GHL and a lot of other automations including e-commerce solutions, fulfillment for e-commerce businesses, HR processes. We have had a couple of implementations for some marketing companies as well.

The low-code interface and the quick code writing within n8n that we can do and utilize is very helpful. It is very evolving at this point in time and very user-friendly.

It brings in efficiency, better time to market, and actually helps us. Since we have hardcore developers in our team who use n8n, it becomes straightforward for them to quickly wrap up some modules from the front end and then connect them and use it quickly for different sorts of integrations.

In terms of real-time execution logs, when we are running and debugging any process within n8n, this really helps us in figuring out if there is a problem within different modules. It provides the flexibility of pinning down the problem to the micro level, which is a really good benefit.

n8n is good in terms of usability, functionality, and many different aspects. I am not too sure what needs to be improved in n8n, but regarding the interface, it has a black background, and they could bring in some improvements for user experience.

The localized implementation is a bit complex and we definitely need some developers involved within this process. If they make it seamless so anyone who is not technology-savvy can just drag and drop things and do this implementation, that would be very beneficial.

We have been working with n8n for the last five months.

The system is stable and good in terms of adapting to the volume of different operations that are happening. There are no issues regarding stability.

We have never sought support from n8n so far, but I hope their tech support is as good as their solution. So far, no interaction has been logged with their n8n support team, but hopefully it is as good as their whole tool.

Positive

The initial setup for starting to use the n8n cloud as hosted by n8n itself is similar to Make and Zapier, and it is as friendly as anything in the market.

We have implemented n8n for a couple of clients ourselves, with our implementations being on AWS and DigitalOcean as the hosting service providers.

The ROI needs to be evaluated in two different terms: ROI in terms of initial cost and in terms of onboarding costs that n8n or any other solutions are asking for. When we consider the overall costs involved in terms of ROI, n8n provides a very quick investment time.

In terms of infrastructure costs, an organization will have to pay for the monthly infrastructure needed for installation. However, when the volume of transactions or operations they need daily or monthly is compared to the operational cost in Make or Zapier, it is massively lower. With a local implementation, even though the organization has to pay the infrastructure cost, it massively outperforms the operations cost they would have to pay on a cloud implementation of Make or Zapier, putting them in a win-win situation.

In terms of error management, n8n is good, but when compared with Make, Make's error management is more advanced. Make has more options for handling errors and performing different actions in various cases, making it much more mature in terms of error handling than n8n.

In my opinion, n8n is leading at this point in features and flexibility, so Make and Zapier need to catch up quickly, otherwise n8n could capture the whole market. I am super excited about the recently launched features on user interface automation and looking forward to potential voice-related or voice AI agents within their system.

The solution is absolutely efficient in terms of usage and is user-friendly. There is no difference when comparing it to Make at this point in time. It is very easy to use unless we are integrating it with a tool that does not have any APIs.

On a scale of 1-10, I rate n8n a 9.

Public Cloud

Amazon Web Services (AWS)

Our customer's main use cases for n8n are extensive, as they are heavily utilizing it. n8n is clubbed with MCP, MCP protocols in terms of tracking, alerting, and automating some of the jobs, specifically in terms of billing, invoice generation, infrastructure monitoring, and downtime management; these are the areas where this platform is used.

The most valuable features in n8n that I can highlight are its flexibility and ease to configure. Adaptation is pretty easy. It requires a little bit of programming skills, but comparatively, it's the shortest time window one can get comfortable with. People who have Python programming experience can get their comfort pretty easily.

Adaptability, scalability, and integrational flexibility are the top features at this point of time.

The capability of n8n to connect different applications and automate tasks while supporting over 200 pre-built integrations is pretty effective. So far, we have had all good positive thoughts about it. Our infrastructure teams are more vigilant about the security part and about data flow and data privacy at this point of time, but otherwise, the adaptation and flexibility of the tool is pretty good.

Regarding n8n supporting over 200 pre-built integrations, this capability contributes to the organization's communication in a pretty effective way.

I am familiar with the visual editor for designing workflows in n8n and it adds great value. It serves as a miniature digital twin framework to capture the existing as-is process flows. That design and visualization feature definitely adds a lot of value to the overall service portfolio.

The impact of real-time execution logs on optimizing the workflows is quite effective, but currently, the solutions we have prepared using this product are in a semi-production area only. We have not yet put it onto the production area.

What could possibly be improved in n8n to make this solution better for the next release is still a navigating process for us. I don't think I'm in a position to provide the improvement areas yet because we are still learning and discovering them.

Regarding the cost, scalability, and initial setup, I can think that for a bigger enterprise environment, the scalability, based on my observation, could be improved since we haven't fully explored that modular adaptive nature of n8n.

There are limitations in scalability.

We have been working with n8n for more than six months now. We started using and exploring it around December.

The deployment part is straightforward initially. If the environment grows and if n8n is scaled to the enterprise, customer-friendly plans would definitely help. Right now, it appears as a one-size-fits-all plan.

In terms of stability, n8n is pretty good; I don't see a challenge. I would rate it seven and above in stability.

There are limitations in scalability. For scalability, I would rate n8n above seven, as we are still in the process of setting up the platform and configuring it.

I have contacted tech support regarding n8n, but that is where we are struggling. We are not in SaaS platform mode of subscription, nor using a standard plan; instead, we are utilizing a customized plan of setting the server in our environment.

For the support rating, I would give it about a five; it's not too bad, but not too great either. It's acceptable.

Positive

We do have good experience with other AI automation tools, mostly the open-source ones. Another open-source tool we are working with is make.com.

Regarding the cost, scalability, and initial setup, for a bigger enterprise environment, the scalability, based on my observation, could be improved since we haven't fully explored that modular adaptive nature of n8n.

Our customers do see a return on investment with this solution; it absolutely offers value for money. One direct correlation is in terms of the amount of automation the tool provides, which directly impacts the number of people who can perform those tasks.

For a small license part, I find n8n is reasonable. But the minute you expand, I believe it becomes a bit on the high side.

I haven't had an opportunity to utilize the error management system. We haven't explored the security module features completely, so it wouldn't be fair to conclude in a generalistic way. Our teams are still exploring that module.

I would definitely recommend n8n to those who would want to use it, even though there are some challenges. It is one of the pretty effective products in the AI automation area, and it can grow leaps and bounds if some of these things are taken care of. It is pretty effective and one of the best tools I have seen.

On a scale of 1-10, I rate n8n an 8.

On-premises

Other

I mainly use n8n for automation. I built an automation in n8n where a webhook is utilized. I have used n8n within a private cloud previously in another organization where I worked.

n8n is quite scalable, and I would rate it around nine out of ten. n8n is pretty flexible when it comes to pricing, setup cost, and licensing when compared to other platforms such as Make and Zapier. For small companies, they can have it locally deployed or host it in the cloud, which is way more cost-efficient when compared to other platforms. It has reduced a lot of manpower required as it can automate the repetitive tasks which are required for any organization and also increased the efficiency.

I haven't seen any major flaws in n8n. However, n8n can be improved if it provides a better learning curve for beginners, as it is quite complex for beginners. Providing more tutorials would help. n8n would benefit from more video tutorials as well as more documentation on easier materials for showcasing how n8n works so that beginners can learn it easily.

I have been using n8n for three years.

n8n is stable in my experience.

I think n8n customer support is pretty responsive.

Positive

I have evaluated other options before sticking to n8n, such as Zapier and Make.

We locally hosted the Docker image in an EC2 instance.

I would advise them to properly understand n8n through the documentation and the tutorials available so that they can use n8n efficiently. I think it is better if there is an improvement within the system, as sometimes responses are not being picked up fast enough and sometimes the system indicates whether I am there or not, even after I have given a response. I believe it would be beneficial if the system improved its efficiency. I rate this review a nine out of ten.

Private Cloud

Amazon Web Services (AWS)

I used n8n for data management. Having the opportunity to use Airtable as an integration was a great fit to visualize and organize the data. When I had the possibility to retrieve information or store information in Airtable, it made things easier.For my use cases, I looked at the output. When there was a formula that needed to be filled, I examined how the information was then sent to the end user. I verified whether the output matched what was required, and I tested by asking questions to see how they retrieve information and whether the sources were provided.

The user-friendly interface positively impacted the team's workflow efficiency. I utilized n8n's ability to connect and integrate diverse applications. From a security standpoint, the data privacy features in n8n are important. Overall, n8n has impacted the organization positively and provided significant benefits.

There are areas that could be improved or enhanced in n8n. From a features and functionality perspective, there are specific features that are missing in n8n at the moment that I would like to see included in the future.

I have been working with n8n for some time.

Regarding the stability aspect and performance, I have not experienced any downtimes, crashes, or stability issues with it.

I find n8n to be scalable.

Apart from n8n, I have researched other automation approaches. I came across CrewAI for orchestrating agents and had a quick look at LangChain. However, n8n was the most popular at that time, and I saw many videos and tutorials about it, which encouraged me to try it out.

The initial setup process with n8n was straightforward, and I did not face any challenges or complexities during the initial setup.

I do not have detailed information about the pricing, setup cost, or licensing cost of n8n.

On-premises

n8n is actually used for many workflows, specific to healthcare and the supply chain industry, though I cannot say anything specific and must remain abstract.

I have used n8n to connect diverse applications across different operating systems and different API calls. However, I am yet to see direct access to queues and Kafka queues.

The best features of n8n are its low-code capabilities with everything at your disposal. The connectors are getting enriched, which is beneficial. It's all about these low-code tools. I don't see any difference between this and classical EAI; it's a kind of integration where we are doing extensive integration with different sources and targets, and here we are interacting with different sources and targets to apply the enriched data to the models and everything so that it makes better decisions.

They haven't fully helped tailor solutions for our needs. We need to make adjustments, enhancements, and create custom workflows. I'm not saying it is completely ready at this time, but it solved most of our purposes. You cannot ask for everything as these products are getting to a matured stage, so we have to give some time for them to reach maturity.

Regarding integrations, if they can make it more seamless and beef up their workflow constructs, that would be great.

Another improvement would be in making n8n more popular through a similar approach to Kafka's documentation. Kafka has created ten-minute capsules of every use case, covering basics, foundational concepts, and each construct in detail. If a newbie spends at least a week studying the documentation, they'll be equally proficient. Any experienced person, senior developer, or architect who goes through Kafka's documentation and videos will have a good jumpstart. If n8n applies a similar methodology, that would benefit the entire community and help them grow faster.

I have experience with n8n for approximately one plus years.

The initial setup was not complex; it was straightforward.

I did not get much opportunity to deal with their customer service or technical support for n8n.

Positive

I deployed it alone.

As a chief principal architect, I maintain a hands-on approach to implementation.

The documentation in general was adequate, though it could definitely be better. However, it was decent enough for what I needed.

On a scale of 1-10, I rate n8n a seven out of ten.

Other