

BigPanda and ServiceNow IT Operations Management are two prominent tools in IT operations management, each offering distinct advantages. Users tend to favor BigPanda for its ease of use and efficient incident management, while ServiceNow IT Operations Management stands out for its extensive integration capabilities and comprehensive features.
Features: BigPanda users like its intuitive incident management and correlation capabilities, which streamline troubleshooting and resolution. ServiceNow IT Operations Management is praised for its extensive integration options and holistic approach to IT operations, offering a more comprehensive suite of tools.
Room for Improvement: BigPanda users want more advanced reporting features and better integration with third-party tools. ServiceNow IT Operations Management users often highlight the need for performance improvements and a more straightforward configuration process.
Ease of Deployment and Customer Service: BigPanda is preferred for its swift deployment and responsive customer service, making it accessible for teams without extensive IT resources. ServiceNow IT Operations Management, though powerful, often requires a more complex deployment process and receives mixed feedback on customer support.
Pricing and ROI: BigPanda users find it competitively priced with a reasonable ROI due to its efficiency in reducing incident resolution times. ServiceNow IT Operations Management, while more expensive, is seen as a worthwhile investment for organizations needing comprehensive IT operations capabilities, offering a high ROI for those who fully leverage its extensive features.
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.
It reduced staffing needs from four full-time staff to fewer due to automation.
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.
They respond promptly when we call to open a ticket.
For minor issues, the team takes a month's time to provide a fix.
The response time of technical support 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.
ServiceNow ITOM scales very well to small and medium businesses.
It integrates with every single tool, even external tools.
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.
Since it is a Platform as a Service (PaaS) or Software as a Service (SaaS) solution, I consider the stability to be very high, rating it ten out of ten.
It helps us create custom dashboards and provides excellent search functionality where we can search for any issues or errors that have occurred and take corrective action before it impacts the users.
All while benefiting from a single tool, single maintenance, and reduced license costs.
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.
Enhancing analytics is crucial, as we have seven years of data providing a substantial history of past ITSM and non-ITSM business tickets that can help predict and reduce the volume of calls.
A more streamlined configuration process tailored to use cases and industry would be beneficial.
It provides many out-of-the-box functionalities along with customization options.
The pricing for BigPanda is reasonable compared to other event management tools, given its advantages.
The pricing model offers scaling where not everything consumes a license equally, providing more value across different business areas.
ServiceNow's pricing is expensive.
It is definitely high-priced compared to other products available in the same domain in the market.
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 performance analytics of ServiceNow was especially beneficial for setting thresholds, aggregating, and correlating infrastructure data.
ServiceNow IT Operations Management influences ITSM processes by automating them and aiding in detecting and resolving IT issues to improve performance, reliability, and uptime.
They provide seamless integration of ITOM with their other modules such as ITSM, where we can leverage the AIs for discovery, perform impact analysis, which essentially helps to enhance the overall IT operations and reduce the downtime and MTTR.
| Product | Mindshare (%) |
|---|---|
| ServiceNow IT Operations Management | 1.2% |
| BigPanda | 0.6% |
| Other | 98.2% |

| Company Size | Count |
|---|---|
| Small Business | 6 |
| Large Enterprise | 11 |
| Company Size | Count |
|---|---|
| Small Business | 12 |
| Midsize Enterprise | 6 |
| Large Enterprise | 27 |
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.
ServiceNow IT Operations Management offers a scalable platform for managing IT infrastructure with features like discovery, dashboards, and service mapping. Ideal for incident, change, and problem management, it enhances operational efficiency and reduces IT service downtime.
ServiceNow IT Operations Management provides comprehensive solutions for consolidating events, automating workflows, and monitoring IT systems. Users utilize it for managing ticketing systems and conducting impact analysis through service mapping. The platform supports integrations with other modules, boosting efficiency with its intuitive interface. While highly functional, improvements in interface design and pricing are necessary, especially in integration with non-IP devices and cloud providers. Enhanced AI, machine learning, and discovery and monitoring functions are also needed.
What are the most important features?IT Operations Management by ServiceNow is widely implemented across industries like finance, healthcare, and manufacturing to optimize IT processes, enhance monitoring, and streamline infrastructure management. It is particularly effective in automating workflows and improving service reliability.
We monitor all IT Infrastructure Monitoring 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.