BigPanda and New Relic are popular in the tech industry for different reasons. BigPanda seems to have the upper hand due to its competitive pricing and customer support.
Features: BigPanda users value its event correlation capabilities, efficient alert management, and integration ease. New Relic users highlight comprehensive monitoring tools, in-depth analytics, and a wide range of integrations.
Room for Improvement: BigPanda could enhance integration options, improve alert noise reduction, and expand automation features. New Relic could offer better customization, more affordable pricing, and simplified user interfaces.
Ease of Deployment and Customer Service: BigPanda is praised for straightforward deployment and responsive customer service. New Relic's deployment is more complex, but its customer service is well-regarded.
Pricing and ROI: BigPanda is noted for competitive setup costs, predictable pricing, and favorable ROI. New Relic incurs higher setup costs and variable ROI, making BigPanda more attractive to budget-conscious buyers.
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.
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.
For technical support, we have only had to address password resets and alert mismatching.
Their collaboration was good, and I would rate them nine out of ten.
Issues that could be solved quickly sometimes take longer because they go around in circles.
I have reached out to customer support multiple times for various cases, particularly for customization such as creating dashboards, and my experience has been good.
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.
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.
Using real-time data, if there are any malicious patterns or something happening, they can identify those.
Email alert customization is limited; it cannot be tailored much, which makes the system more rigid than optimal.
New Relic can get pricey for larger organizations.
The pricing for BigPanda is reasonable compared to other event management tools, given its advantages.
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.
Using New Relic speeds up troubleshooting and resolution, giving us a clearer picture of where issues are, thus saving time and effort.
The best features in New Relic include its numerous API integrations and a good source of support.
Another aspect I appreciate is its good alerting mechanism, which can throw alerts and can be configured with PagerDuty or Slack, allowing easy checks on triggers and troubleshooting using New Relic.
Product | Market Share (%) |
---|---|
New Relic | 3.9% |
BigPanda | 0.9% |
Other | 95.2% |
Company Size | Count |
---|---|
Small Business | 6 |
Large Enterprise | 11 |
Company Size | Count |
---|---|
Small Business | 65 |
Midsize Enterprise | 50 |
Large Enterprise | 61 |
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.”
New Relic offers real-time application monitoring and insight into performance bottlenecks. Its customizable dashboards and APM integration provide efficient operational support, while server performance alerts ensure quick issue detection.
New Relic provides comprehensive monitoring of application performance, tracking bottlenecks across databases and front-end components. Users employ it for server and infrastructure monitoring, as well as analyzing key metrics such as CPU and memory usage. The solution's ability to integrate with tools like PagerDuty enhances incident management capabilities. However, users have expressed a need for improvements in query language simplicity, more detailed historical insights, and better mobile app monitoring support.
What are New Relic's most important features?In industries like e-commerce and financial services, New Relic supports application performance monitoring to enhance user experience and system reliability. Organizations leverage its insights for optimizing performance, particularly in server operations and infrastructure management. Its ability to monitor API failures through synthetic monitoring is crucial for maintaining high service levels.
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