

Appian and PagerDuty Operations Cloud compete in the low-code development and incident management categories, respectively. Appian has the upper hand in application deployment, while PagerDuty is superior in incident resolution efficiency.
Features: Appian offers low-code development for rapid deployment, visual process modeling, and mobile-ready interfaces for flexibility and ease of use. PagerDuty Operations Cloud provides advanced alerting, real-time notifications, and automation capabilities, ensuring high availability and reduced response times.
Room for Improvement: Appian faces customization challenges in UI flexibility and scalability, with users seeking improved DevOps integration. PagerDuty Operations Cloud could enhance noise reduction and user interface intuitiveness, and increase customization options.
Ease of Deployment and Customer Service: Appian provides public, hybrid, private cloud, and on-premises deployment options, with strong customer service cited as a competitive advantage. PagerDuty Operations Cloud supports public and private cloud scenarios, with generally positive customer service feedback, although pricing and feature accessibility could improve.
Pricing and ROI: Appian's high pricing is considered justified due to its functionality and rapid ROI in low-code scenarios, with flexible licensing options offering enterprise value. PagerDuty Operations Cloud's straightforward licensing can lead to cost escalation with user base increases, showing strong ROI in real-time incident resolution and operational consistency.
Using Appian is saving us five full-time employees, which is significant since we currently have only four team members.
They see return on investment in terms of cost savings, time savings, more efficient processes, and more efficient employees.
Appian is very efficient, allowing us to build a lot of applications within a financial year, making it cost-effective.
The escalation was not possible at all before, which led to the L1 team being under too much stress.
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.
We definitely save time with PagerDuty Operations Cloud. It saves more than half an hour—30 minutes—for each incident.
I would give Appian's customer support 10 out of 10 due to their next-level support.
Their customer service is responsive, and the team is very prompt for support.
The technical support for Appian rates as 10 out of 10 because they have a great support team.
we have never had an issue when reaching out to someone in customer service
They understand our concerns and are willing to implement solutions that integrate into PagerDuty Operations Cloud effectively.
I received good responses from PagerDuty Operations Cloud, and they provide informative assistance when required.
On a scale of one to 10, Appian rates as a nine for scalability.
Our volume has increased by 20% in the two years since using Appian, and it can handle the increased volume effectively.
Initially, without much coding, I can easily handle five thousand records.
Scalability for PagerDuty Operations Cloud is excellent, and I rate it at 9.9.
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.
The product was highly scalable, with no limits on the number of applications or event routing rules.
We have tested Appian during peak usage and off-peak times, and we have not experienced any issues such as lagging or system disruptions.
It depends on how it has been designed and how it has been configured.
The stability of Appian would rate as nine, as it's a stable environment.
We have never experienced any downtime or latency issues from PagerDuty Operations Cloud.
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.
PagerDuty Operations Cloud is definitely stable, providing faster incident management and making managing our on-call roster easy along with effective escalation and notification channels.
It has room to improve for use cases where the users are public facing, where anonymous users could come to a site and run a business workflow or interact with some data.
Appian can be improved by adding a geo-location tagging feature, which would be really helpful for identifying remitter addresses.
I think Appian could improve by adding its own native GenAI and agentic capabilities.
It would be useful to have a way to define all configurations in code that is similar to how Terraform operates.
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.
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.
Appian provides value for money, is easy to use, has a straightforward setup procedure, and offers great support from the Appian team.
On the pricier side, both Appian and Pega are enterprise-level solutions, placing them on the slightly higher side.
The pricing of Appian is based on the number of users and generally ranges from 70 to 100 USD per user per month.
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.
We have been using PagerDuty Operations Cloud for several years, so our pricing and cost have definitely increased over time, especially as we have hired additional engineers.
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.
The zero-code integration feature is remarkable, allowing for ease of data transfer and workflow enhancement.
Appian is aiding in leveraging AI technologies in multiple ways: one way is for developers, as they make development efficient and quick by enabling developer co-pilots across various phases of the application, which helps design Appian quickly and provides suggestions along the way.
After switching to Appian, it can extract data from MT103, eliminating the need for manual data entry.
It integrates with multiple applications and is highly customizable, with policies, escalation procedures, and an event routing tool that ensures contacting the right person.
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.
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.
| Product | Mindshare (%) |
|---|---|
| PagerDuty Operations Cloud | 0.6% |
| Appian | 4.8% |
| Other | 94.6% |

| Company Size | Count |
|---|---|
| Small Business | 20 |
| Midsize Enterprise | 9 |
| Large Enterprise | 46 |
| Company Size | Count |
|---|---|
| Small Business | 21 |
| Midsize Enterprise | 16 |
| Large Enterprise | 44 |
Appian provides a low-code platform designed for rapid application development, allowing businesses to enhance their efficiency through automation and integration while offering scalable and mobile-friendly solutions.
Appian stands out with its capability to streamline business processes through its intuitive drag-and-drop functionality, robust process management, and AI integration. It supports rapid deployment, automation, and scalability, making it suitable for enterprise-wide applications. Its continuous updates ensure agile customization, while seamless integration with external systems enables efficient data management. Despite some challenges with UI customization and external integrations, particularly with Microsoft products, Appian remains a valuable tool for businesses across industries seeking improved workflow management and data integration.
What are Appian's key features?Appian is primarily used in industries like banking, telecom, and manufacturing, assisting companies in managing workflows and automating processes. From application creation to data integration, it aids in enterprise-wide initiatives including mobile application deployment, real-time data processing, and intelligent automation.
PagerDuty Operations Cloud specializes in incident management and alert automation, with integration to 700+ platforms, reducing resolution time and manual workloads through AI-driven features and automated alerts.
PagerDuty Operations Cloud is a robust tool for automated incident management, integrating seamlessly with platforms like ServiceNow, Datadog, New Relic, and AWS. It provides AI-driven alert grouping, customizable escalation policies, and multiple notification methods, including SMS and mobile apps. Despite its intricate interface and cost concerns, it significantly enhances reliability and response times. Users utilize it for shift scheduling and automated responses via webhooks, optimizing operational management and improving reaction to high-severity alerts.
What are the key features of PagerDuty Operations Cloud?Organizations, especially in IT and DevOps, find PagerDuty Operations Cloud beneficial for automated incident management. Integrating with platforms such as Slack and cloud providers, it aids in efficient incident handling. Teams use it for monitoring and resolving critical issues effectively, leveraging webhooks and notifications to maintain operational efficiency.
We monitor all Process Automation 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.