OpsRamp vs PagerDuty Operations Cloud comparison

OpsRamp and PagerDuty are both solutions in the AIOps category. OpsRamp is ranked #14 with an average rating of 7.5, while PagerDuty is ranked #5 with an average rating of 8.5. OpsRamp holds a 3.6% mindshare in AIOP, compared to PagerDuty’s 2.4% mindshare. Additionally, 84% of OpsRamp users are willing to recommend the solution, compared to 99% of PagerDuty users who would recommend it.

OpsRamp

Read 13 OpsRamp reviews

5,625 Views
2,756 Comparison Views

84% willing to recommend

PagerDuty Operations Cloud

Read 92 PagerDuty Operations Cloud reviews

9,341 Views
1,775 Comparison Views

99% willing to recommend

OpsRamp

PagerDuty Operations Cloud

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Jun 11, 2026

PagerDuty Operations Cloud and OpsRamp are key players in the IT operations space. While both products offer solid alerting and monitoring capabilities, PagerDuty Operations Cloud seems to possess the upper hand due to its real-time alerting capabilities and comprehensive integrations with popular tools.

Features: PagerDuty Operations Cloud offers features such as real-time alerting across multiple channels, strong incident management capabilities, and seamless integration with tools like AWS and Datadog. It also includes on-call scheduling and automated escalation policies that effectively reduce downtime and improve client relations. OpsRamp provides robust monitoring and alerting capabilities with integrations that support its cost-effective nature, along with features like multi-tenant architecture and predictive analytics.

Room for Improvement: PagerDuty Operations Cloud could improve its integration capabilities, offer better pricing structures for smaller teams, and add more UI customization options. Users suggest adding observability features and enhancing AI-driven alert management. OpsRamp could benefit from refining its ITSM maturity, enhancing automation features, and providing more seamless third-party tool integrations.

Ease of Deployment and Customer Service: PagerDuty Operations Cloud is versatile in deployment across hybrid, public, and private cloud environments, offering reliable customer support with quick and knowledgeable assistance. OpsRamp supports multi-cloud environments but focuses primarily on public and hybrid clouds, offering a streamlined deployment for smaller organizations. It lacks the extensive support infrastructure found in PagerDuty Operations Cloud.

Pricing and ROI: PagerDuty Operations Cloud's pricing is considered high, especially for small teams, but users report a significant increase in operational efficiency and strong ROI through its advanced features and integrations. OpsRamp provides a more transparent and cost-effective pricing model, appealing to smaller organizations seeking essential monitoring and alerting without the premium features of its counterpart.

To learn more, read our detailed OpsRamp vs. PagerDuty Operations Cloud Report (Updated: June 2026).

Buyer's Guide

OpsRamp vs. PagerDuty Operations Cloud

June 2026

Download the complete report

Helped 908,834 peers since 2012

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

6.9

OpsRamp enhances efficiency with 90% alert reduction, 70% task automation, improved productivity, straightforward licensing, and realistic expectations.

Sentiment score

5.5

PagerDuty Operations Cloud improves efficiency, reduces downtime, and enhances sales by streamlining incident resolution and minimizing alert fatigue.

It is important to stick with available features and provide customers with clear, precise details about what can and cannot be done to avoid anomalies.

reviewer2732427

System Integration Advisor at a tech vendor with 10,001+ employees

I find the licensing model convenient and clear enough, and I have seen a return on investment with OpsRamp.

Kishor Babu

Software engineer at Mphasis

For more quotes and insights, download the OpsRamp report

The escalation was not possible at all before, which led to the L1 team being under too much stress.

Mukesh Ts

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.

DeepakReddy

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.

reviewer2835345

Sr. Specialist at a tech vendor with 10,001+ employees

For more quotes and insights, download the PagerDuty Operations Cloud report

Customer Service

Sentiment score

5.4

OpsRamp's support excels in responsiveness and expertise but faces language barriers and desires for dedicated teams.

Sentiment score

7.0

Customers praise PagerDuty for responsive, knowledgeable support, although some desire faster response times despite overall high satisfaction.

Having a dedicated firefighter team for each MSP would be beneficial.

reviewer2732427

System Integration Advisor at a tech vendor with 10,001+ employees

For more quotes and insights, download the OpsRamp report

PagerDuty Operations Cloud is a good product for the organization and the support team is highly effective and responsive.

Navin Samuel

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.

Pavithra Jadapa

Technology Analyst at Infosys

we have never had an issue when reaching out to someone in customer service

Kkonovalov Kanavalev

Senior Cloud Operations Engineer at IMO Health

For more quotes and insights, download the PagerDuty Operations Cloud report

Scalability Issues

Sentiment score

7.1

OpsRamp offers scalable solutions for user management and monitoring, though it received moderate ratings due to some connection challenges.

Sentiment score

7.2

PagerDuty Operations Cloud excels in scalability, seamless integration, and onboarding, handling high alert volumes but can be costly.

No quotes available

For more quotes and insights, download the OpsRamp report

Scalability for PagerDuty Operations Cloud is excellent, and I rate it at 9.9.

Chandrakanth Sangale

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.

Ausaaf Ahmad

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.

Di Singh Negi

Lead Data Ops Engineer at Wipro Limited

For more quotes and insights, download the PagerDuty Operations Cloud report

Stability Issues

Sentiment score

6.9

OpsRamp is stable and low-maintenance, with minor scaling issues, often rated higher for stability than competitors like SolarWinds.

Sentiment score

8.3

PagerDuty Operations Cloud is praised for high stability, effective incident management, seamless AWS integration, and excellent uptime.

No quotes available

For more quotes and insights, download the OpsRamp report

We have never experienced any downtime or latency issues from PagerDuty Operations Cloud.

Akhil Viswam

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.

Divyajyoti Ghosh

CSO C Apac at Autodesk, Inc.

PagerDuty Operations Cloud is the most stable solution.

Hitesh Lodha

Senior Cloud Engineer at Ollion

For more quotes and insights, download the PagerDuty Operations Cloud report

Room For Improvement

OpsRamp needs improvements in ITSM maturity, user interface, automation, alert accuracy, support, and AIOps capabilities to stay competitive.

PagerDuty needs UI updates, better incident management, enhanced AI, improved reporting, and support for multilingual features and scheduling.

Technical support should be improved.

Kishor Babu

Software engineer at Mphasis

For more quotes and insights, download the OpsRamp report

It would be useful to have a way to define all configurations in code that is similar to how Terraform operates.

JeremyEmmett

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.

Nambi Srinivasan

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.

Aashish Bhandari

Dev Ops Engineer | Cloud Cost Optimization at HCLSoftware

For more quotes and insights, download the PagerDuty Operations Cloud report

Setup Cost

OpsRamp provides an economical, clear licensing model with annual resource-based bundles, offering cost-effective access to the full platform.

PagerDuty pricing suits medium to large enterprises but can be costly for small teams, scaling with usage and features.

it does not strike me as expensive, and the licensing model is clear enough.

Kishor Babu

Software engineer at Mphasis

For more quotes and insights, download the OpsRamp report

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.

Nambi Srinivasan

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.

Shashank Venugopal

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.

reviewer2879727

Cloud Dev Ops Engineer at a tech vendor with 10,001+ employees

For more quotes and insights, download the PagerDuty Operations Cloud report

Valuable Features

OpsRamp offers robust monitoring, AIOps, integration, and analytics, enhancing efficiency, usability, and insights for hybrid environments.

PagerDuty Operations Cloud enhances efficiency with AI alerts, integrations, and incident management, boosting revenue and client satisfaction.

I have utilized OpsRamp's capability for predictive analytics, and it has been important in fostering collaboration between my IT and development teams under DevOps methodologies, where applicable.

Kishor Babu

Software engineer at Mphasis

For more quotes and insights, download the OpsRamp report

It integrates with multiple applications and is highly customizable, with policies, escalation procedures, and an event routing tool that ensures contacting the right person.

JeremyEmmett

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.

Ajaykumar Gupta

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.

Mukesh Ts

Software Developer at Webspruce

For more quotes and insights, download the PagerDuty Operations Cloud report

Categories and Ranking

OpsRamp

Ranking in AIOps

14th

Average Rating

7.8

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Event Monitoring (8th), IT Infrastructure Monitoring (29th)

PagerDuty Operations Cloud

Ranking in AIOps

5th

Average Rating

8.6

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Process Automation (5th), IT Alerting and Incident Management (1st), Critical Event Management (CEM) (1st), Autonomous Operational Resilience (3rd)

Mindshare comparison

As of August 2026, in the AIOps category, the mindshare of OpsRamp is 3.6%, down from 8.3% compared to the previous year. The mindshare of PagerDuty Operations Cloud is 2.4%, up from 1.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

AIOps Mindshare Distribution
Product	Mindshare (%)
PagerDuty Operations Cloud	2.4%
OpsRamp	3.6%
Other	94.0%

AIOps

Featured Reviews

reviewer2732427

System Integration Advisor at a tech vendor with 10,001+ employees

Provides robust infrastructure monitoring with excellent integrations and alert predictions but needs improved AIOps capabilities

If we treat OpsRamp as an infrastructure monitoring tool, there are many positive aspects. However, when viewed as an AIOps tool, there are numerous potential additions. Currently, it performs infrastructure monitoring but has limited capability in application monitoring, which needs improvement. They are introducing observability as a feature where metrics, logs, and traces can be implemented, but this is currently in a primitive state that can grow over time. The platform is very stable, and the UI is excellent. However, regarding AIOps features, enhancements could be made to provide more value, such as dynamic thresholding and other capabilities that competitor tools have, such as LogicMonitor.

Read full review

reviewer2879727

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.

Read full review

See which vendors are best for you

Use our free recommendation engine to learn which AIOps solutions are best for your needs.

See recommendations

908,834 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Manufacturing Company

11%

Computer Software Company

11%

Financial Services Firm

11%

Healthcare Company

Financial Services Firm

12%

Performing Arts

11%

Outsourcing Company

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	2
Midsize Enterprise	2
Large Enterprise	10

By reviewers
Company Size	Count
Small Business	30
Midsize Enterprise	22
Large Enterprise	74

Questions from the Community

What is your experience regarding pricing and costs for OpsRamp?

I share the impression that OpsRamp pricing is fair; it does not strike me as expensive, and the licensing model is clear enough.

See all answers

What needs improvement with OpsRamp?

See all answers

What is your primary use case for OpsRamp?

Currently, my use case for OpsRamp is using it as an infrastructure monitoring tool for customers, where we can provide infrastructure monitoring as a platform. We can have AI appended to those mon...

See all answers

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...

See all answers

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...

See all answers

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...

See all answers

Comparisons

Datadog vs OpsRamp

Compared 9% of the time

ServiceNow IT Operations Management vs OpsRamp

Compared 7% of the time

Dynatrace vs OpsRamp

Compared 5% of the time

BMC Helix Operations Management with AIOps vs OpsRamp

Compared 5% of the time

LogicMonitor vs OpsRamp

Compared 4% of the time

More OpsRamp Competitors

Opsgenie vs PagerDuty Operations Cloud

Compared 8% of the time

xMatters vs PagerDuty Operations Cloud

Compared 7% of the time

Everbridge IT Alerting vs PagerDuty Operations Cloud

Compared 6% of the time

BigPanda vs PagerDuty Operations Cloud

Compared 6% of the time

Splunk On-Call vs PagerDuty Operations Cloud

Compared 5% of the time

More PagerDuty Operations Cloud Competitors

Product Reports

Buyer's Guide

OpsRamp

July 2026

Download OpsRamp product report

Buyer's Guide

PagerDuty Operations Cloud

July 2026

Download PagerDuty Operations Cloud product report

Overview

OpsRamp offers a comprehensive IT management platform that enhances business operations through monitoring automation, AIOps, and integration capabilities.

OpsRamp provides a single pane of glass for hybrid infrastructure management, integrating with tools like Zendesk to streamline operations. With predictive analytics and AIOps features such as root cause analysis, it significantly improves IT efficiency. The platform's machine learning, event correlation, and personalized dashboards improve user experience. However, users have noted scalability issues, interface limitations, and patch management inconsistencies, with room for enhancement in network capabilities and ITSM maturity.

What features define OpsRamp?

Single Pane of Glass: Enables seamless monitoring of all IT assets in one dashboard.
Event Correlation: Reduces noise by filtering events and highlighting critical incidents.
Integration Capability: Connects with tools like Zendesk to boost collaboration.
Predictive Analytics: Offers insights through machine learning to anticipate IT issues.
AIOps Automation: Facilitates root cause analysis and automated incident resolution.

What benefits should users consider from OpsRamp reviews?

Enhanced Efficiency: Streamlined operations through integration and automation.
Improved Collaboration: Better coordination via multi-tenant architecture and shared dashboards.
Increased Accuracy: Machine learning features provide precise reporting and analysis.
Operational Cost Savings: Tools consolidation and predictive features reduce expenses.

OpsRamp is widely implemented for managing and automating IT infrastructure across sectors. Enterprises apply it for Azure infrastructure management, resource threshold setting, and generating alerts. It supports digital transformation through incident management, tools consolidation, and leveraging AI for IT operations, facilitating network and storage device onboarding for customer environments.

OpsRamp

PagerDuty Operations Cloud focuses on efficient incident management, featuring advanced alert and notification systems, mobile alerts, and AI-driven functionalities that facilitate streamlined on-call schedules and integrations with major monitoring tools.

PagerDuty Operations Cloud offers comprehensive incident management with real-time alerts and notifications via mobile, SMS, and calls. This empowers teams to respond swiftly and reduce missed incidents. Efficient on-call management through automated scheduling and escalation enhances team productivity, while AI-driven alert grouping minimizes noise. Integration with tools like AWS and Datadog further streamlines operations.

What are the key features of PagerDuty Operations Cloud?

Real-time Incident Alerts: Improves response times by ensuring immediate notifications.
AI-driven Alert Grouping: Minimizes noise for enhanced focus and efficiency.
Automated Scheduling: Streamlines on-call management and escalation.
Monitoring Tool Integration: Seamlessly works with tools like AWS and Datadog.
Mobile Alerts: Enables SMS and call notifications for instant communication.

What benefits and ROI should users consider?

Increased Efficiency: Reduces operational burden through automation.
Improved Team Productivity: Lowers incident noise and accelerates resolution.
Enhanced Customization: Tailors alert prioritization and escalation policies.
Time Savings: Expedites incident management and reduces error rates.

PagerDuty Operations Cloud implementation spans industries like e-commerce and IT services, where it automates anomaly detection and manages high-severity incidents. Its integration capabilities and AIOps features significantly enhance incident management, proving valuable for sectors demanding real-time performance and responsiveness.

PagerDuty

Sample Customers

Epsilon, CloudBrix, GreenPages, NIIT Technologies

40% of the Fortune 100 TrustPagerDuty. Customers include: Slack, Intuit, Zendesk, Panasonic, Pinterest, Airbnb, eHarmony, McKesson, Comcast

Buyer's Guide

OpsRamp vs. PagerDuty Operations Cloud

June 2026

Free Report: OpsRamp vs. PagerDuty Operations Cloud

Find out what your peers are saying about OpsRamp vs. PagerDuty Operations Cloud and other solutions. Updated: June 2026.

DOWNLOAD NOW

908,834 professionals have used our research since 2012.

See our OpsRamp vs. PagerDuty Operations Cloud report.

See our list of best AIOps vendors.

We monitor all AIOps reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.