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Make vs PagerDuty Operations Cloud comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jun 11, 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
6.0
Automation enhances efficiency, cuts labor costs by 50%, boosts ROI, and saves time on reporting, content, and CRM tasks.
Sentiment score
5.5
PagerDuty Operations Cloud boosts efficiency by automating alerts, reducing downtime, and improving incident management with fewer SLA penalties.
I have indeed seen a return on investment as it has saved us hundreds of hours in repetitive tasks, streamlining our follow-up to the leads that we are generating.
Network Engineer at AT&T
I implemented a booking system for my client that previously required data to be entered directly into Google Sheets and reminders to be sent manually; using Make, they have saved about 50% of their time, which equals one labor resource, translating to a significant amount of money saved.
Founder at WebEase
With that extra time each month, I could focus more on sales and upscaling my business, so it is really worth it.
The escalation was not possible at all before, which led to the L1 team being under too much stress.
Software Developer at Webspruce
The alert reduction feature has greatly impacted our ability to prevent costly incidents, as we can accurately respond to alerts with the help of autonomous AI agents, which reduces erroneous notifications.
Sr.Devops engineer at Scaler
We definitely save time with PagerDuty Operations Cloud. It saves more than half an hour—30 minutes—for each incident.
Sr. Specialist at a tech vendor with 10,001+ employees
 

Customer Service

Sentiment score
5.5
Make's responsive customer support and abundant self-help resources efficiently resolve user issues, fostering an active, supportive community.
Sentiment score
7.0
PagerDuty's support is praised for responsiveness and knowledge, though occasionally slow, with ratings between 7 and 10.
We have escalated a few issues that we faced during some integrations, and we received reasonable responses from Make support.
Chief Executive Officer at Ashtex Solutions
They were doing the best job for my use cases and my problems.
Bubble.Io | Xano | No Code | Mba | Make | Zapier | Full Stack at Indian Railways
When I had a problem during the pricing payment, the customer support handled it very well.
Freelancer at a consultancy with 11-50 employees
PagerDuty Operations Cloud is a good product for the organization and the support team is highly effective and responsive.
Delivery Manager at Cognizant
We have standing weekly calls to discuss any doubts, and there is a dedicated team, including an engineer and a PagerDuty Relations Manager, assigned to support us.
Technology Analyst at Infosys
we have never had an issue when reaching out to someone in customer service
Senior Cloud Operations Engineer at IMO Health
 

Scalability Issues

Sentiment score
5.5
Make is scalable and effective for complex workflows, but pricing and workflow setup can challenge some users.
Sentiment score
7.3
PagerDuty Operations Cloud is praised for its scalability, integration flexibility, and dynamic alert handling, despite premium pricing.
When you have an error, it is very hard to do error handling and debugging.
Automation Engineer at a tech services company with 501-1,000 employees
It can handle increasing workloads or more complex automations easily, but I need to set up each and every component carefully.
Developer at a educational organization with 51-200 employees
Make's scalability is very good, and if the pricing were lower, I could scale a lot more.
Founder at WebEase
Scalability for PagerDuty Operations Cloud is excellent, and I rate it at 9.9.
Network Operations Center Engineer at HTC Global Inc
Whatever top-notch tools we are using as an enterprise solution, PagerDuty Operations Cloud has kept itself current and integrates nicely with all the tools we use these days.
Lead Engineer, Cloud Operations at a tech vendor with 5,001-10,000 employees
We are able to extend our PagerDuty Operations Cloud configuration without major challenges or changes to our overall operational model.
Lead Data Ops Engineer at Wipro Limited
 

Stability Issues

Sentiment score
7.3
Make is mostly stable and reliable for users, with occasional minor bugs and issues that don't hinder overall performance.
Sentiment score
8.3
PagerDuty Operations Cloud is reliable, with minimal downtime, efficient alerts, and strong integration, despite rare latency or API issues.
We have never experienced any downtime or latency issues from PagerDuty Operations Cloud.
Senior Consultant at a consultancy with 10,001+ employees
It never breaks down for us, and considering I have devoted 20 years of my career to IT infrastructure operations, where everything typically breaks down, including Jira and ServiceNow, it is impressive to say that PagerDuty Operations Cloud has not caused disruptions.
CSO C Apac at Autodesk, Inc.
PagerDuty Operations Cloud is the most stable solution.
Senior Cloud Engineer at Ollion
 

Room For Improvement

Users seek enhanced developer-friendliness, integrations, documentation, pricing, ease of use, security, stability, support tools, and customization.
PagerDuty users seek improved alert management, AI integration, user-friendly interfaces, and simplified setup to enhance cost efficiency and usability.
There should be clarity about whether the data is secure while passing through these automations or integrations created within Make.
Chief Executive Officer at Ashtex Solutions
I would love to have more detailed logs, step-by-step error tracing, and better visualization of failed executions, as I think it would improve the user experience significantly.
software engineer at a non-tech company with 1,001-5,000 employees
The lagging problem needs to be solved.
Gtm Operator, Lead Generator at 404Minds Technologies
It would be useful to have a way to define all configurations in code that is similar to how Terraform operates.
Sr Director - Global Support APJ at HashiCorp
With many new members, they need training to set up runbook workflows, event orchestration, and manage complex on-call schedules across 23 services, making it a challenge for new users.
Senior SRE at IBM
Additionally, I think a sandbox mode would be helpful for new team members, allowing us to guide them in simulating alerts, performing escalation policies, and creating PagerDuty Operations Cloud channels.
Dev Ops Engineer | Cloud Cost Optimization at HCLSoftware
 

Setup Cost

Make's pricing is affordable and flexible, with options like Docker solutions, making it cost-effective compared to competitors.
PagerDuty's pricing suits larger teams, with users valuing reliability, despite high costs and limited licensing flexibility.
Licensing was affordable.
Network Engineer at AT&T
I found a solution that allows me to use Make almost for free, just using the Docker on-premises.
Automation Engineer at a tech services company with 501-1,000 employees
It's cost-effective and it's pocket-friendly.
Bubble.Io | Xano | No Code | Mba | Make | Zapier | Full Stack at Indian Railways
I had around seven users part of it for a base pricing of around $450 per user, primarily for custom workflows and the ITSM part.
Senior SRE at IBM
The pricing for PagerDuty Operations Cloud is a bit expensive, especially for startups like us, compared to the other platform which I mentioned, which is Rootly.
Dev Ops Engineer at a consultancy with 11-50 employees
Licensing is straightforward but scaling seats for larger teams can get expensive, especially when adding advanced features.
Cloud Dev Ops Engineer at a tech vendor with 10,001+ employees
 

Valuable Features

Make's intuitive interface and integrations boost efficiency and productivity, saving time and reducing manual tasks with seamless automation.
PagerDuty Operations Cloud enhances incident response with real-time alerts, integrations, automation, and AI, improving efficiency and productivity.
Make has positively impacted my organization by enabling us to solve use cases for hundreds of clients across hundreds of different platforms, providing the customization capabilities to automate accounting and invoicing processes that save dozens of man-hours a month, and allowing us to build custom churn, retention, and engagement costs that have driven a 30% reduction in churn.
Network Engineer at AT&T
Instead of spending several days implementing and testing API integrations inside our FastAPI back end, I was able to build the workflows in a few hours using Make.
software engineer at a non-tech company with 1,001-5,000 employees
The task that I would complete in a span of one day is completed in a matter of minutes by using Make.
Executive at Core Jobs
It integrates with multiple applications and is highly customizable, with policies, escalation procedures, and an event routing tool that ensures contacting the right person.
Sr Director - Global Support APJ at HashiCorp
In addition to those features, I also find the integration and reporting aspects of PagerDuty Operations Cloud valuable, as it records all triggered calls and incidents, enabling us to analyze patterns and identify the times when systems go down, thus assisting us in understanding and addressing the underlying causes.
Senior Business Application Analyst (Product Team) at Kotak Mahindra Bank
Before, setting up everything was very difficult. Now, we don't have to think about it. We can simply set it up in PagerDuty and it works.
Software Developer at Webspruce
 

Categories and Ranking

Make
Ranking in Process Automation
6th
Average Rating
8.0
Reviews Sentiment
5.5
Number of Reviews
18
Ranking in other categories
AI Software Development (4th)
PagerDuty Operations Cloud
Ranking in Process Automation
5th
Average Rating
8.6
Reviews Sentiment
6.8
Number of Reviews
93
Ranking in other categories
IT Alerting and Incident Management (1st), AIOps (5th), Critical Event Management (CEM) (1st), Autonomous Operational Resilience (3rd)
 

Mindshare comparison

As of August 2026, in the Process Automation category, the mindshare of Make is 1.6%, up from 0.9% compared to the previous year. The mindshare of PagerDuty Operations Cloud is 0.7%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Process Automation Mindshare Distribution
ProductMindshare (%)
PagerDuty Operations Cloud0.7%
Make1.6%
Other97.7%
Process Automation
 

Featured Reviews

Dinesh Lavu - PeerSpot reviewer
Bubble.Io | Xano | No Code | Mba | Make | Zapier | Full Stack at Indian Railways
Automation workflows have saved time and have reduced manual work for my client projects
Most of what I learned about Make is mainly from the templates only. Anything that I tried to do, I try to see who has done it already and try to understand and rebuild it. When I'm trying to build some workflows, there's a chatbot component. When I ask for something, it helps me in that. Or if I get a bug that I'm finding difficult to debug or understand the use case or the log, it clearly explains it to me and sometimes it advises me to do certain things, so that it's easy for me to fix it. One area for improvement is an auto-building feature. Another is how n8n has a chatbot completion where you can bring some LLMs into the workflow and integrating Ollama and all of that is something I felt is really needed for Make also.
reviewer2879727 - PeerSpot reviewer
Cloud Dev Ops Engineer at a tech vendor with 10,001+ employees
Unified incident response has reduced alert noise and improves on-call focus and coordination
PagerDuty Operations Cloud could improve its noise reduction by making deduplication and suppression more automated instead of manually tuned, and the service dependency graph could be more intuitive with cleaner visuals and easier-to-understand root cause tracing during major incidents. Automation could go further with smarter runbook triggers and AI-driven suggestions to help find root causes, which could save a lot of time for engineers who are struggling to understand what is actually happening. These AI capabilities could lower the time by maybe 50–60%. Analytics and reporting could be more flexible, allowing custom dashboards and filters and team-level MTTA and MTTR breakdowns, so that it is segregated based on teams and it is much easier to have custom dashboards for the teams to understand more. Alert storms were a recurring frustration for the on-call team, and escalation overrides and service dependency graphs can get a bit confusing in larger environments. More customizable analytics and smarter automation would make the platform even easier, more flexible and more powerful for the team to understand. PagerDuty Operations Cloud could improve its analytics flexibility with customized dashboards and AI capabilities to be more trained and more reliable. Service dependency mapping can also feel cluttered in big environments, making it harder to trace upstream and downstream impacts during bigger incidents. We implemented PagerDuty Operations Cloud's AI to help with alert grouping and early incident insights, but accuracy was not consistent enough to rely on during critical events. It occasionally grouped unrelated alerts or missed correlations, which limited the operational efficiency gains we expected. The on-call team still depended heavily on manual triage because AI suggestions were not always aligned with the real root cause. Overall, AI added some value but it has not yet reached the reliability needed to significantly improve the incident response efficiency. It needs more training or more work.
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Top Industries

By visitors reading reviews
Outsourcing Company
15%
Educational Organization
13%
Manufacturing Company
10%
Construction Company
10%
Financial Services Firm
12%
Performing Arts
11%
Outsourcing Company
9%
Manufacturing Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business14
Midsize Enterprise1
Large Enterprise6
By reviewers
Company SizeCount
Small Business31
Midsize Enterprise22
Large Enterprise76
 

Questions from the Community

What is your experience regarding pricing and costs for Make?
Regarding my experience with pricing, setup costs, and licensing for Make, I would add that they need to provide a dark mode because the UI is in light mode. I remember that when I was working late...
What needs improvement with Make?
I think there are improvements needed for Make. They could add a guide roadmap for beginners to make it more accessible. While Make is easy to use, there is always room for improvement. There are m...
What is your primary use case for Make?
My main use case for Make involves automating social media content creation and personalized content creation for my social profile like Instagram.
What is your experience regarding pricing and costs for PagerDuty?
I am not sure about the influence of PagerDuty Operations Cloud on revenue protection in terms of reducing alert fatigue and incident costs, as these are organizational-level decisions, and employe...
What needs improvement with PagerDuty?
I think PagerDuty Operations Cloud could be improved by having two fields for incident updates. In my work, I handle incidents that have two fields: work notes visible only to developers working on...
What is your primary use case for PagerDuty?
My usual use cases with PagerDuty Operations Cloud involve handling incidents through a full flow. When there is an outage, an incident is created that can be either severity one or severity two. A...
 

Comparisons

 

Also Known As

Integromat
No data available
 

Overview

 

Sample Customers

Buan Consulting, Armadia
40% of the Fortune 100 TrustPagerDuty. Customers include: Slack, Intuit, Zendesk, Panasonic, Pinterest, Airbnb, eHarmony, McKesson, Comcast
Find out what your peers are saying about Make vs. PagerDuty Operations Cloud and other solutions. Updated: August 2026.
909,701 professionals have used our research since 2012.