

PagerDuty Operations Cloud and BMC Helix Operations Management with AIOps compete in the incident management and operations domain. PagerDuty appears to have an upper hand in terms of incident management and alerting while BMC Helix offers enhanced AI-driven predictive capabilities.
Features: PagerDuty Operations Cloud provides advanced notification and escalation features through SMS, calls, and app notifications. It integrates with tools like AWS and Datadog and offers robust incident workflow management. BMC Helix Operations Management with AIOps leverages AI to predict and automate responses, offering comprehensive analytics and a unified view of hybrid environments.
Room for Improvement: PagerDuty Operations Cloud could enhance mobile application features, improve pricing strategies for smaller teams, and optimize noise reduction and user interface. It also needs better analytics and more tool integrations. BMC Helix Operations Management with AIOps can benefit from more flexible dashboards, better support in non-production environments, and revised licensing models for pricing flexibility.
Ease of Deployment and Customer Service: PagerDuty Operations Cloud supports hybrid and public cloud models and offers notable customer service with timely cross-platform support. BMC Helix Operations Management with AIOps provides robust deployment options across hybrid, public, and on-premises environments, and is recognized for responsive support focused on production environments.
Pricing and ROI: PagerDuty Operations Cloud's high pricing may affect smaller teams but offers significant ROI through efficient incident management and reduced MTTR, improving sales and operational efficiencies. BMC Helix Operations Management with AIOps has competitive pricing, focusing on AI to boost operational efficiency, offering substantial ROI via reduced downtime and improved operational performance.
That gave us a very positive image as an agile vendor that came in and brought a highly valuable solution that drove cost reduction, that drove better return on investment, that drove more business confidence and highly automated spectrum and also it did improve overall cybersecurity aspects of the operations as well.
The return on investment with BMC Helix Operations Management with AIOps has been positive since I have saved money by resolving incidents or tickets before breaches.
However, when assessed against the benefits and positive outcomes it yields, particularly when applied to critical business systems, an ROI can validate the investment in the platform.
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.
When provided with accurate information, they quickly supply the necessary articles to resolve problems.
They provided detailed explanations about the issues and how to handle them in the future.
If there is any issue or we face anything, they interact immediately to solve it.
PagerDuty Operations Cloud is a good product for the organization and the support team is highly effective and responsive.
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.
we have never had an issue when reaching out to someone in customer service
BMC Helix Operations Management with AIOps is suitable for small, medium, and large environments.
The scalability of BMC Helix Operations Management with AIOps is very much up-to-date and competitive in the market.
BMC Helix Operations Management with AIOps is highly scalable as it operates in a Kubernetes environment.
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.
We are able to extend our PagerDuty Operations Cloud configuration without major challenges or changes to our overall operational model.
If the data is not good, BMC Helix Operations Management with AIOps may be unreliable, so it is crucial to ensure that foundation data is synchronized before implementing BMC Helix Operations Management with AIOps.
BMC Helix Operations Management with AIOps is very stable.
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 the most stable solution.
I would like to see full AI implementation with their own AI engine in BMC Helix Operations Management with AIOps, eliminating the need for external engines, allowing for deeper technical engagement with users.
I would like to see log aggregation built in for the ML analytics capability to be furthermore accurate, along with improved visualizations, insights, and interactive dashboarding.
From my perspective as a customer, especially from tool administration, what would be beneficial is having end-to-end visibility all on a single page.
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.
The pricing is on the higher end due to the extensive features and delivery quality.
Broadly speaking, it's slightly on the expensive side, though it's very high value.
My experience with pricing, setup costs, and licensing for BMC Helix Operations Management with AIOps indicates that pricing seems to be on the higher side.
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.
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.
Licensing is straightforward but scaling seats for larger teams can get expensive, especially when adding advanced features.
Proactive monitoring is a key feature where AI and machine learning, based on past behavior, predict and provide information on potential situations that could develop.
BMC Helix Operations Management with AIOps has positively impacted my organization by reducing our emergency changes and flipping our problem records from reactive to proactive, so we're getting to things faster before they impact users.
Without AIOps in your infrastructure, it typically takes approximately two hours to understand an outcome of a critical system, but with AIOps, you can accomplish this in minutes without gathering all the specialists.
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 | 2.4% |
| BMC Helix Operations Management with AIOps | 3.0% |
| Other | 94.6% |
| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 2 |
| Large Enterprise | 7 |
| Company Size | Count |
|---|---|
| Small Business | 31 |
| Midsize Enterprise | 22 |
| Large Enterprise | 74 |
BMC Helix Operations Management with AIOps enhances monitoring by leveraging AI for proactive insights, issue prediction, and SLA maintenance. Its agentless design offers comprehensive asset visibility and seamless tool integration for rapid issue resolution.
BMC Helix Operations Management with AIOps stands out by automating alerting and actions through AIOps capabilities, which hone infrastructure learning and identify vulnerabilities, providing crucial insights on server stability and potential incidents. It is primarily utilized for event collection and correlation to determine root causes, reducing the need for manual problem-solving and ensuring faster remediation. Companies like Yamaha in Brazil implement it for IT service management and application monitoring.
What are the key features of BMC Helix Operations Management with AIOps?
Which benefits or ROI should be considered when evaluating BMC Helix Operations Management with AIOps?
In industries such as ITSM and application monitoring, BMC Helix Operations Management with AIOps is implemented for event collection, root cause identification, and escalation to management during critical issues. It suits organizations looking to enhance monitoring capabilities without extensive manual intervention.
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?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.
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