

BigPanda and LogicMonitor compete in IT operations management. LogicMonitor generally stands out due to its extensive integrations and proactive alerting capabilities.
Features: BigPanda users value its effective correlation of alerts and automation in reducing noise during incident management. It also provides efficient incident response and streamlined workflows. LogicMonitor offers deep visibility into critical infrastructure, extensive monitoring capabilities, and a robust alerting system that integrates well with various platforms.
Room for Improvement: BigPanda users suggest enhancing integration capabilities and reporting features, alongside improving customizability. LogicMonitor users recommend better alert system customization, a smoother learning curve, and more intuitive UI enhancements.
Ease of Deployment and Customer Service: BigPanda users find the deployment straightforward but report occasional complexities with customer service interactions. LogicMonitor users experience smooth deployment and commend its responsive customer service, highlighting superior deployment ease and support experience.
Pricing and ROI: BigPanda users mention higher setup costs but note long-term efficiency gains. LogicMonitor users observe reasonable setup costs with significant ROI due to enhanced monitoring capabilities, perceiving better ROI from comprehensive features and effective monitoring outcomes.
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.
The return is more of value and savings in preventing costly downtime, making the savings of about $60,000 which we would have lost without LogicMonitor, and in IT staff efficiency, we save approximately 15 hours a week.
Because of LogicMonitor, we have reduced our EC2 infrastructure significantly, which has helped us reduce costs by 20%.
Downtime on each network asset has been reduced, and there is now better visibility for the operations team to manage 24/7 support.
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.
Within one day, I received a script, and LogicMonitor was able to provide the firewall configuration in LogicMonitor on the same day I submitted the request.
Customer support is on point and very well trained.
We need to be able to reach them in real-time, and without those kinds of options available, we have to set up ad hoc calls, which could be improved.
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.
They are not licensed, so you could deploy one collector or 1,000 collectors for the same cost.
LogicMonitor's scalability absolutely meets our organization's growth needs.
LogicMonitor is pretty good at scaling things when it comes to monitoring AWS infrastructure because I can see that it scales very well for us.
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.
The platform is reliable, alerts are consistent, and once collectors and integrations are in place, monitoring runs smoothly with minimal disruption.
It is very stable. I have never seen LogicMonitor itself go down.
Since we implemented LogicMonitor and got it working in production, there has been no downtime, no reliability issues, and nothing major regarding flare-ups from LogicMonitor's perspective.
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 also appreciate a stronger out-of-the-box AWS correlation, such as automatically grouping related issues across EC2, EBS, and ALBs in a way that reads as a single incident story.
We are not just looking for a solution that is monitoring-based; we are looking for a solution that fixes the outage and documents it all.
I wish the user interface would be customizable to allow users to create personal context-specific workspaces to hide irrelevant data, rather than trying to have a one-size-fits-all interface.
The pricing for BigPanda is reasonable compared to other event management tools, given its advantages.
For small businesses that want to utilize LogicMonitor and are just starting out with limited customers, a pricing model targeted to this segment would be beneficial, perhaps at three or two dollars per device per month.
I experienced no issues with pricing, setup cost, and licensing; it was very transparent, and the licensing model is very clear and easy to understand.
The pricing and overall deployment was quite easy.
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.
The dynamic alerting and root cause analysis have helped us fix issues before they cause a full-blown outage or degrade performance for end users.
Our SLAs and SLOs were averaging about 10 to 15 failed SLAs and SLOs that were over the time allotted to get those resolved, and those are now down to about two to three per week.
When talking about the statistics, it has helped us reduce downtime to about 40 to 50% because without LogicMonitor, we used to know about the downtime only when the application was actually down.
| Product | Mindshare (%) |
|---|---|
| LogicMonitor | 2.8% |
| BigPanda | 0.6% |
| Other | 96.6% |


| Company Size | Count |
|---|---|
| Small Business | 6 |
| Large Enterprise | 11 |
| Company Size | Count |
|---|---|
| Small Business | 14 |
| Midsize Enterprise | 11 |
| Large Enterprise | 17 |
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.
LogicMonitor offers flexible IT monitoring with customizable dashboards and robust alerting capabilities. It integrates seamlessly with third-party apps like ServiceNow and provides a single-pane view for diverse IT environments, aiding in proactive issue resolution and enhancing operational efficiency.
LogicMonitor stands out with its capability to monitor diverse infrastructures including Cisco Voice systems, data centers, and virtual environments. Supporting servers, storage, networking devices, and applications, it provides seamless integration with cloud services like AWS and Azure. Users leverage its scalability and flexibility, benefiting from dynamic thresholds, anomaly detection, and detailed visualization. All these features contribute to improved management of IT assets and streamlined operations. Users suggest improvements in mapping, reporting, and automation for remediation, desiring more customizations and an expansive application performance monitoring toolset.
What are LogicMonitor's key features?LogicMonitor is widely implemented across industries, providing monitoring for infrastructure in sectors like telecommunications, cloud computing, and managed services. Managed service providers particularly value its ability to track client environments, deliver proactive alerts, and generate comprehensive reports, while its integration with cloud platforms like AWS and Azure offers users centralized management and visibility into IT assets worldwide.
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