BigPanda and Splunk Cloud Platform compete in IT operations and data analytics. Splunk Cloud Platform appears to have an advantage with its robust analytics capabilities, offering more comprehensive value.
Features: BigPanda offers automated incident response and correlation, reducing downtime and improving operational efficiency. It excels in alert deduplication and easy integration with tools like JIRA and Slack. Its user-friendly interface and customizable dashboards enhance usability. Splunk Cloud Platform features a powerful analytics engine, real-time monitoring, and extensive integration options. It stands out with its log aggregation, search capabilities, and dashboarding, providing significant value in data analysis and monitoring.
Room for Improvement: BigPanda could enhance its AI/ML capabilities for better anomaly detection and improve integration with more diverse monitoring tools. A broader set of pre-built integrations could increase its flexibility. More advanced reporting features could increase its user appeal. Splunk Cloud Platform could enhance user experience by simplifying its setup process. Improving resource requirements could ensure faster deployment. Further optimizing cost for smaller businesses could widen its accessibility.
Ease of Deployment and Customer Service: BigPanda offers straightforward deployment integrated smoothly with existing tech stacks, backed by responsive customer service. Splunk Cloud Platform is more complex to deploy, due to its analytics features requiring more setup time, but provides comprehensive support resources, ensuring users can maximize its capabilities.
Pricing and ROI: BigPanda provides an economical entry point with quick ROI through operational efficiency. Its focus on budget-friendly solutions contrasts with Splunk Cloud Platform's higher initial investment, justified by its extensive analytics benefits and valuable data insights. Splunk's higher cost is balanced by the comprehensive abilities of its analytics engine, appealing to businesses prioritizing advanced data capabilities.
BigPanda offers significant time-saving, cost-saving, and resource-saving benefits.
For technical support, we have only had to address password resets and alert mismatching.
They are generally fast with their responses, although there might be some delays when escalating to the next level.
Premium support is costly and may not always provide a satisfactory experience.
It handles large volumes of alerts without limitations.
BigPanda facilitates better collaboration between IT teams by providing a shared view of incidents and requests.
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.
A 'deep dive' analysis feature would be appreciated to give detailed insights such as CPU usage and disk space analysis.
The planned maintenance feature in BigPanda needs enhancements due to its limited scheduling options.
I am not sure if we can pull reports of bulk incidents in different formats like PDF, Excel, or CSV.
The pre-built reports in Splunk Cloud Platform are generic and require manual adjustments to extract specific, granular information, which requires the user to be knowledgeable.
Splunk Cloud is considered too expensive, with its two product offerings both being costly.
It can correlate multiple issues within a single device, create a single incident, and thus reduce noise and provide faster resolution.
Its automation has significantly improved incident response times, reducing the process to within one minute.
BigPanda improves service reliability with instant resolution, increased uptime, and reduced mean time to resolution, thus enhancing service quality.
The most valuable feature of Splunk Cloud Platform is its robustness and ability to ingest logs.
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 Cloud Platform is widely used for log management, security monitoring, application performance monitoring, troubleshooting, data aggregation, and IT operations. It centralizes logs from numerous sources, enabling detailed analysis, incident detection, and effective dashboard creation.
Companies across various industries leverage Splunk Cloud Platform for cybersecurity, compliance, user activity monitoring, and alerts. It helps in managing cloud environments, optimizing data storage costs, and enhancing customer insights with effective data visualization. The platform's robust capabilities include customizable reporting, flexible log sending, powerful search features, and seamless integration with other systems. Users monitor multiple environments and platforms effortlessly with the cloud infrastructure maintained by Splunk. Despite its advantages, users find the pricing steep, support ineffective, and encounter performance issues with large data volumes. Integration challenges, limited training resources, and insufficient documentation also pose concerns.
What are the most important features of Splunk Cloud Platform?Splunk Cloud Platform is implemented across industries including finance, healthcare, retail, and technology. Organizations use it to enhance cybersecurity measures, meet compliance requirements, monitor user activities, and issue automated alerts. In finance, it assists in fraud detection and compliance. In healthcare, it ensures data security and regulatory adherence. Retailers use it for customer behavior analysis and performance monitoring, while technology companies benefit from its troubleshooting and log management capabilities. Despite its powerful features, companies face challenges with pricing, support, and integration that require consideration during implementation.
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