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OnSolve Platform for Critical Event Management vs PagerDuty Operations Cloud comparison

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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:
 

Categories and Ranking

OnSolve Platform for Critic...
Ranking in IT Alerting and Incident Management
19th
Ranking in Critical Event Management (CEM)
5th
Average Rating
6.0
Number of Reviews
1
Ranking in other categories
Mass Notification Software (2nd)
PagerDuty Operations Cloud
Ranking in IT Alerting and Incident Management
1st
Ranking in Critical Event Management (CEM)
1st
Average Rating
8.6
Reviews Sentiment
6.8
Number of Reviews
104
Ranking in other categories
Process Automation (3rd), AIOps (3rd), Autonomous Operational Resilience (3rd)
 

Mindshare comparison

As of October 2026, in the IT Alerting and Incident Management category, the mindshare of OnSolve Platform for Critical Event Management is 1.9%, down from 2.0% compared to the previous year. The mindshare of PagerDuty Operations Cloud is 7.8%, down from 21.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
IT Alerting and Incident Management Mindshare Distribution
ProductMindshare (%)
PagerDuty Operations Cloud7.8%
OnSolve Platform for Critical Event Management1.9%
Other90.3%
IT Alerting and Incident Management
 

Featured Reviews

it_user826692 - PeerSpot reviewer
Business Continuity Specialist at a legal firm with 1,001-5,000 employees
Allows for a systematic and uniform method of alerting personnel in every location, but the user interface is too complicated
Emergency alerting for a global company in 14 countries It allows for a systematic and uniform method of alerting personnel in every location. It has the same general functions as most emergency alerting systems. The placeholder dropdowns for message templates are useful. The user interface is…
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.

Quotes from Members

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

Pros

"The placeholder dropdowns for message templates are useful.​"
"It allows for a systematic and uniform method of alerting personnel in every location.​"
"Since using PagerDuty Operations Cloud, I have noticed specific outcomes such as faster incident resolution, recurring issues were monitored properly, and recurring incidents were corrected and have stopped."
"PagerDuty Operations Cloud has a very good impact on our company, especially regarding business and service level agreements, as well as reducing incident resolution time."
"PagerDuty Operations Cloud significantly reduced alert noise and improved MTTA; our acknowledgement time dropped almost by half and MTTR improved by around 15–20% due to improved automation and routing."
"PagerDuty Operations Cloud helps us find bugs much faster, which means our users see fewer broken pages and it removes the stress of waiting for customer complaints."
"Without PagerDuty Operations Cloud, we used other tools including CloudWatch alerting, but that did not help to resolve the issue; however, with PagerDuty Operations Cloud, I think it pointed the exact root cause, including which service is failing, based on PagerDuty Operations Cloud scripting."
"It reduces the amount of white noise. If something comes through, then it will alert somebody. However, if it's a bit of white noise that comes through at night, then it gets dealt with the next day. Everything is visible to everybody. It's not just a single person getting an SMS, then going, "Oh, I'm not going to worry about that." The visibility to everybody on the team is one of the great things about it because it reduces the white noise."
"PagerDuty Operations Cloud improved my team's ability to focus on core tasks rather than routine issues by having the notification feature that was very helpful to monitor and trigger high and critical issues directly to team members."
"All of our on-call hand-offs are now fully automated with the scheduling system inside PagerDuty."
 

Cons

"The user interface is too complicated and aspects that should be offered, such as email subject line editing, are not."
"Conference calling requires a complicated syntax formula.​"
"It’s quite hard to reach the support team."
"I would rate PagerDuty Operations Cloud as eight out of ten because the cons include a complex configuration process and high costs for each add-on that I try to obtain, making subscriptions costly, along with limited customization in certain incident workflows."
"Currently, New Relic and Datadog handle monitoring and observability better than PagerDuty Operations Cloud."
"It would be nice if the app could somehow receive the notification of an incident and allow you to customize the warning method on the device end."
"PagerDuty could improve the event orchestration by enhancing features, such as easier condition setup inside the orchestration."
"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."
"While configuring PagerDuty Operations Cloud with Ops, it was not super intuitive to figure out which fields to use to assign a responsible person and who is writing the post-mortem, but once everything was figured out, it works really well."
"However, I hear from my manager that the pricing is very high for PagerDuty Operations Cloud, and only a few of us have the main business tier accounts."
 

Pricing and Cost Advice

Information not available
"The pricing may be about $1,000 per user."
"They're very good in pricing compared to the competitors in the area. I would rate them a five out of five in terms of pricing."
"The cost is quite high. But if you want to get a full-featured application and you have a big team..."
"The solution is paid on a monthly basis and represents about 1% of the platform's budget."
"There is a license needed to use PagerDuty."
"The cost is based on the package you select."
"If we wanted phone calls or additional SMSs, we would have to pitch up for those. They give us so many per month per user, then we have to pay extra if it goes over that."
"Licensing costs are around $700 a month, and the only additional costs, are phone costs in some instances."
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Top Industries

By visitors reading reviews
Financial Services Firm
20%
Comms Service Provider
11%
Healthcare Company
10%
Manufacturing Company
8%
Outsourcing Company
11%
Financial Services Firm
11%
Performing Arts
10%
Manufacturing Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business32
Midsize Enterprise26
Large Enterprise79
 

Questions from the Community

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What needs improvement with PagerDuty?
One area I would like to see improved is making complex alerts configuration and routing rules easier to set up and manage. PagerDuty Operations Cloud's flexibility is useful, but some advanced con...
What is your primary use case for PagerDuty?
I primarily use PagerDuty Operations Cloud for managing incidents and monitoring all critical services on our application. I rely on it most for real-time alerts, automated incident routing, on-cal...
 

Also Known As

Send Word Now, OnSolve MIR3, OnSolve CodeRED, OnSolve SmartNotice, OnSolve TelAlert
No data available
 

Overview

 

Sample Customers

Gift of Life Michigan, The Salvation Army Greater New York Division, PR Newswire, Carnival Group, The United Network for Organ Sharing, Virgin Atlantic, University of Delaware, NetApp, CME Group
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 PagerDuty, Splunk, SolarWinds and others in IT Alerting and Incident Management. Updated: October 2026.
916,582 professionals have used our research since 2012.