

BigPanda and BMC Helix Operations Management with AIOps compete in the domain of incident management and IT operations. BigPanda has an upper hand in integration and automation for alert management, while BMC Helix excels with its dashboards and risk management capabilities.
Features: BigPanda offers seamless integration with systems like JIRA and Slack, AI-driven anomaly detection, and event correlation. It excels in simplifying alert management, particularly in environments with high alert volumes. BMC Helix Operations Management with AIOps stands out with its advanced dashboards, risk management, and agentless deployment, simplifying IT processes and offering valuable operational insights.
Room for Improvement: BigPanda could enhance its integration, analytics, and AI functionalities to reduce false incidents and simplify usability for diverse user skill levels. BMC Helix Operations Management with AIOps needs better documentation and licensing options to increase accessibility and customization. Both platforms could benefit from interface enhancements and expanded automation capabilities.
Ease of Deployment and Customer Service: BigPanda supports public and hybrid cloud deployments, though its support services are perceived as less consistently responsive. BMC Helix Operations Management with AIOps provides flexible deployment options across hybrid, public cloud, and on-premises environments, with a strong reputation for flexible and proactive customer support.
Pricing and ROI: BigPanda is generally budget-friendly, offering considerable time and resource savings in high-volume environments, making it a cost-effective choice. BMC Helix Operations Management with AIOps, while more expensive, offers extensive features and market competitiveness, particularly in SaaS model transitions. Both tools deliver good ROI, especially for environments managing over 10,000 events weekly, though some users find BigPanda more affordable relative to its value.
BigPanda offers significant time-saving, cost-saving, and resource-saving benefits.
BigPanda saves time with its advanced features and manages large environments while requiring fewer resources compared to our previous tool, Netcool.
Resource count has probably reduced by about ten to twenty percent due to the reduced incident count, which enables me to identify issues faster, meaning business recovery is quicker.
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.
We have seen a return on investment, managing to reduce actually half an FTE.
If BigPanda can consistently provide such competent contacts, I would rate the support ten out of ten, otherwise, it is an eight out of ten.
Companies like CoreLogix, which is a log platform, achieve ten out of ten due to their responsiveness.
For technical support, we have only had to address password resets and alert mismatching.
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.
I would rate BMC technical support maybe an eight, because while they are helpful, their support typically comes from India and often has to escalate issues to more senior levels, resulting in delays.
It handles large volumes of alerts without limitations.
We manage a large environment with over 50,000 servers and various monitoring tools like Dynatrace, New Relic, Splunk, Nagios, and Datadog.
I rate the scalability of BigPanda at eight.
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 good, as the cloud-based solution gives you the flexibility to scale as your business grows.
I have scaled BMC Helix Operations Management with AIOps with data and users, not to a very high level but to a medium level, and I can see that the platform has performed well for my users.
BigPanda is now stable.
I would rate the availability of BigPanda at nine because it's almost 99.99% available.
However, when handling critical traffic, the BigPanda site can slow down, which we manage with a load balancer.
A 'deep dive' analysis feature would be appreciated to give detailed insights such as CPU usage and disk space analysis.
It would be beneficial if BigPanda leveraged AI to solve critical issues related to editing and sending alerts based on enrichment mapping files.
If BigPanda could integrate AI, it would enhance the platform significantly by offering chatbot functionality within the BigPanda UI.
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.
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.
Documentation for a broader range of examples and use cases could help show what you can actually do with the power of the tool.
The pricing for BigPanda is reasonable compared to other event management tools, given its advantages.
There are indirect costs related to managing open-source products, leading to resource investment in maintaining the dashboards for these capabilities.
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 has been good as I receive all licenses with AIOps and do not have to ask separately for licensing.
Its automation has significantly improved incident response times, reducing the process to within one minute.
It can correlate multiple issues within a single device, create a single incident, and thus reduce noise and provide faster resolution.
BigPanda improves service reliability with instant resolution, increased uptime, and reduced mean time to resolution, thus enhancing service quality.
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.
BMC Helix Operations Management with AIOps helped us bring the attack surface to a minimal.
| Product | Mindshare (%) |
|---|---|
| BMC Helix Operations Management with AIOps | 3.3% |
| BigPanda | 2.8% |
| Other | 93.9% |

| Company Size | Count |
|---|---|
| Small Business | 6 |
| Large Enterprise | 12 |
| Company Size | Count |
|---|---|
| Small Business | 5 |
| Midsize Enterprise | 1 |
| Large Enterprise | 4 |
BigPanda enhances incident management through root cause analysis, alert deduplication, and event correlation. The AI-driven platform is designed for environments with high alert volumes, providing insights for data-driven decisions and seamless integration with tools like ServiceNow and Teams.
BigPanda addresses the complexities of incident management by offering an AI-focused approach to anomaly detection. Automation improves response times, while unified analytics supports informed decision-making. Despite AI integration and usability needing enhancement, the platform simplifies observability and ticketing through integrations with New Relic and Slack. Features like enrichment mapping and unified search improve functionality, though reporting and visualization aspects require development.
What are the key features of BigPanda?BigPanda is widely implemented in industries focusing on observability and predictive analysis, providing efficient alert processing and incident management. Users utilize its capabilities to seamlessly integrate with solutions like Dynatrace, particularly in environments that handle high volumes of alerts, ensuring effective notification delivery through various platforms.
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.
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