

Find out in this report how the two AIOps solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
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.
Companies like CoreLogix, which is a log platform, achieve ten out of ten due to their responsiveness.
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.
Their collaboration was good, and I would rate them nine out of ten.
We manage a large environment with over 50,000 servers and various monitoring tools like Dynatrace, New Relic, Splunk, Nagios, and Datadog.
It handles large volumes of alerts without limitations.
There are pluses and minuses at some points, and the configuration and integration efforts contribute to this rating.
BigPanda is now stable.
I would rate the availability of BigPanda at nine because it's almost 99.99% available.
There is almost no downtime and availability issues with the platform.
A 'deep dive' analysis feature would be appreciated to give detailed insights such as CPU usage and disk space analysis.
Having more precise error data in BigPanda would enable me to resolve issues more quickly and efficiently.
This would help end users understand alert enrichment, configurations, alert noise, alert behavior, and alert statistics.
The pricing for BigPanda is reasonable compared to other event management tools, given its advantages.
BigPanda improves service reliability with instant resolution, increased uptime, and reduced mean time to resolution, thus enhancing service quality.
Its automation has significantly improved incident response times, reducing the process to within one minute.
The platform's AI analyzes alert sources and root causes, enhancing real-time incident management and enabling automated resolution.
| Product | Mindshare (%) |
|---|---|
| BigPanda | 2.8% |
| IBM Turbonomic | 1.3% |
| Other | 95.9% |

| Company Size | Count |
|---|---|
| Small Business | 6 |
| Large Enterprise | 11 |
| Company Size | Count |
|---|---|
| Small Business | 41 |
| Midsize Enterprise | 57 |
| Large Enterprise | 147 |
BigPanda Autonomous Operations platform is a cutting-edge solution that helps IT Ops, NOC and DevOps teams detect, investigate, and resolve IT incidents faster and more easily than ever before. Powered by Open Box Machine Learning, BigPanda correlates IT noise into insights, automates incident management, and unifies fragmented IT operations.
BigPanda’s Autonomous Operations platform increases the ease with which IT administrators are able to both manage their systems and respond to issues that arise. It combines machine learning and automation, which not only provide administrators with reliable suggestions concerning future issues that may arise, but also allows for certain tasks to be assigned to the system itself. These allow organizations to save both time and resources that can be dedicated to more critical tasks.
BigPanda’s Autonomous Operations platform possesses a simplified and unified user interface, enabling users to manage the solution from one place. The UI allows users to view and manage all of the information and controls that IT teams need to be able to easily access, providing a level of visibility that ensures users will be able to view all of their system’s most up-to-date and critical information at any time that they wish.
Benefits of BigPanda Autonomous Operations Platform
Some the benefits of using BigPanda’s Autonomous Operations platform include:
Reviews from Real Users
BigPanda’s Autonomous Operations platform stands out among its competitors for a number of reasons. Two major ones are its centralized user interface and its ability to easily integrate with other security solutions. The centralized UI gives users the ability to clearly see all their alert data in a single location without having to search for it. Its easy integration allows administrators to augment their IT security capabilities when they find it necessary to do so.
PeerSpot user Larry C., the principal engineer in charge of site operations for a tech vendor, notes this benefit when he writes, "Alert aggregation was the primary requirement. BigPanda pulls all this together into a single UI for us, allowing us to see related alerts grouped together into an incident, and enables us to easily create a JIRA ticket and Slack channel to manage an issue."
Another PeerSpot user, who is an independent entrepreneur in the IT environment at a tech services company, notes the flexibility of this platform when they write “BigPanda integrates well with other solutions, such as WatchGuard.”
IBM Turbonomic enhances IT efficiency with automation, capacity planning, and reporting features, enabling organizations to optimize resource utilization and improve performance through advanced workload management and scenario analysis.
IBM Turbonomic equips organizations with robust capabilities for dynamic resource allocation and informed decision-making. Its planning module provides scenario analysis, right-sizing recommendations, and a customizable dashboard for tailored insights. Automation features improve workload placements and resource efficiency, while forecasting capabilities enhance performance. Simulation of environments helps in decision-making, leading to significant savings in cloud and hardware management. There is a need for a more intuitive interface, enhanced navigation, and improved customization in reporting with integration potential with third-party applications. Transition to the HTML5 interface and stronger training resources are among anticipated improvements.
What are the key features of IBM Turbonomic?IBMTurbonomic is implemented across industries such as cloud management and virtualization, helping organizations balance clusters, optimize virtual machine performance, and manage Azure configurations. In resource-monitored environments like VMware and XenServer, its features facilitate load balancing, VM rightsizing, and automation shutoffs. Industries can rely on its insights for cost-saving measures, ensuring efficient resource allocation for hybrid and cloud environments.
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