BigPanda and Splunk Observability Cloud compete in IT operations management. BigPanda has an advantage in incident management through alert deduplication and integration, while Splunk excels in application performance monitoring and visibility, beneficial in complex environments.
Features: BigPanda offers robust alert deduplication and correlation, improving incident management by reducing noise. Its seamless integration with a variety of tools and AI/ML capabilities enhances automation, leading to quicker incident response times. Splunk Observability Cloud provides superior application performance monitoring, offering end-to-end visibility, essential for tracking intricate environments. It delivers real-time problem-solving capabilities and detailed insights.
Room for Improvement: BigPanda could refine its analytics and correlation capabilities while addressing cost issues and enhancing integration capabilities. Splunk, although stable, faces challenges with log navigation, its cost structure, and documentation, impacting user accessibility and integration. Improving AI integration for both could reduce reliance on manual processes. BigPanda users seek more intuitive analytics, while Splunk users find configuration complex.
Ease of Deployment and Customer Service: BigPanda typically deploys in the cloud, with mixed reviews on customer service, citing occasional responsiveness issues. Splunk supports diverse deployments across on-premises and hybrid environments and is praised for high support responsiveness, offering flexibility and customization assistance. BigPanda's cloud focus contrasts with Splunk's strength in complex on-premises setups, each showcasing unique deployment and support engagement benefits.
Pricing and ROI: BigPanda is seen as cost-effective, providing significant ROI for high event volumes and driving efficiencies through a consolidated platform. Splunk is perceived as expensive, facing competitive pricing pressures, with a costly licensing model, particularly as it scales. However, it offers robust features that justify the investment for many, though ROI may be harder to achieve due to higher expenses. BigPanda provides a clear cost advantage, while Splunk justifies its price with extensive capabilities and predictable costs in high-data scenarios.
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.
They often require multiple questions, with five or six emails to get a response.
They did respond to us, but they did not explicitly inform us about the feature's absence.
If any issues arise, we can raise a vendor case, and resolutions are provided in a timely and accurate manner.
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.
We've used the solution across more than 250 people, including engineers.
I would rate its scalability an eight out of ten.
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.
I would rate its stability a nine out of ten.
We rarely have problems accessing the dashboard or the page.
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.
There is room for improvement in the alerting system, which is complicated and has less documentation available.
Customers sometimes need to create specific dashboards, particularly for applicative metrics such as Java and process terms.
It would be beneficial if server details could be retrieved directly in synthetic monitoring.
The pricing for BigPanda is reasonable compared to other event management tools, given its advantages.
It appears to be expensive compared to competitors.
Splunk Observability Cloud is expensive.
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.
For troubleshooting, we can detect problems in seconds, which is particularly helpful for digital teams.
It offers unified visibility for logs, metrics, and traces.
Splunk APM provides a holistic view of the application.
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.”
Splunk Observability Cloud combines log search, data integration, and dashboards for seamless monitoring, enhancing infrastructure visibility and security. Its cloud integration and scalability support diverse environments, improving operational efficiency.
Splunk Observability Cloud offers comprehensive monitoring tools with user-friendly interfaces, enabling end-to-end infrastructure visibility. Its real-time alerting and predictive capabilities enhance security monitoring, while centralized dashboards provide cross-platform visibility. Users benefit from fast data integration and extensive insights into application performance. Despite its advantages, improvements could be made in integration with other tools, data reliability, scalability, and cost management. Users face challenges in configuration complexity and require better automation and endpoint protection features. Enhancing AI integration, alerts, and adaptation for high-throughput services could further improve usability.
What are the key features of Splunk Observability Cloud?In industries like finance and healthcare, Splunk Observability Cloud is implemented for application performance monitoring and infrastructure metrics. Its ability to track incidents and analyze machine data benefits network infrastructure, while distributed tracing and log analysis aid in tackling security threats. Organizations often integrate it for compliance and auditing purposes, enhancing visibility into network traffic and optimizing performance.
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