

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.
BigPanda saves time with its advanced features and manages large environments while requiring fewer resources compared to our previous tool, Netcool.
Resource count has probably reduced by about ten to twenty percent due to the reduced incident count, which enables me to identify issues faster, meaning business recovery is quicker.
It is definitely not a beginner-friendly tool, but it is definitely the best tool that is available in the market for insurance-related products.
If you use it properly, then you can get value from it.
We see logs between 10 to 30 minutes in contrast to six hours with other platforms, marking a substantial ROI for organizations needing to prevent breaches.
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.
I feel that Splunk's documentation is highly maintained, regular updates seem to happen, and I don't have any suggestions for improvement as it is currently at its best.
However, as I mentioned, sometimes they might not have proper knowledge or sometimes they are not sufficiently technical.
The CSMs and account managers in the channel team are great, providing assistance not just with selling the product but also for implementation, deployment, and aftercare.
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.
If we have compliance requirements to just store logs, then Splunk Cloud Platform is not the right platform.
If you purchase something initially and later have increased requirements, they can scale up and scale down your environment.
Splunk Cloud Platform's scalability works well, especially for smaller businesses, but can present issues for larger enterprises facing stricter regulations and greater integration requirements.
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.
Its stability is commendable, enabling easy visibility into logs, effective data ingestion, and successful operations with diverse integrations and third-party platforms.
This is usually improved by following best practices such as optimizing SPL queries, using the proper index, and managing data correctly.
I rate Splunk Cloud Platform a ten out of ten for stability and reliability.
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.
I know there are tutorials on the website, but I feel if they rolled out more free courses on such things that provide a link to a free course for beginner training, I feel people would be interested in it.
In terms of enhancement for Splunk Cloud Platform, I would say if we could create add-ons or if we get the capability to build add-ons directly through cloud, not talking about the add-on builder framework, but something editor-like where we will directly edit our conf files from any specific app or TA provided by Splunk Cloud Platform itself.
I would suggest going for Splunk Cloud Platform because AWS, Microsoft Azure, and Google Cloud are very expensive in comparison.
The pricing for BigPanda is reasonable compared to other event management tools, given its advantages.
There are indirect costs related to managing open-source products, leading to resource investment in maintaining the dashboards for these capabilities.
Once you are in the partnership with Splunk Cloud Platform and with Cisco, you can have good discounts, you can make the deal and discuss, and they are willing to help you as a partner in finding the solution and finding your target.
When it comes to the cost of Splunk Cloud Platform, I would rate it a five from one to ten, with one being cheap and ten being expensive.
If you really need the SIEM solution, then it is very cost-effective for your company.
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 most valuable feature of Splunk Cloud Platform is its robustness and ability to ingest logs.
The search capability utilizes the same compute assigned, and compared to on-premises, it is very efficient and fast because on-premises we had fixed compute assigned with limits set for searching per role or application.
The platform's alerting mechanism is valuable, as there is software that makes alarms in case of attacks.
| Product | Mindshare (%) |
|---|---|
| Splunk Cloud Platform | 2.1% |
| BigPanda | 2.7% |
| Other | 95.2% |

| Company Size | Count |
|---|---|
| Small Business | 6 |
| Large Enterprise | 12 |
| Company Size | Count |
|---|---|
| Small Business | 37 |
| Midsize Enterprise | 16 |
| Large Enterprise | 56 |
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.
Splunk Cloud Platform enhances operational efficiency with streamlined log management and real-time data analysis, offering customizable dashboards, seamless system integration, and a user-friendly interface that simplifies infrastructure management.
Splunk Cloud Platform stands out for its robust indexing and powerful search capabilities, delivering end-to-end visibility across environments. AI-driven security measures enhance cybersecurity intelligence, while its flexible log management reduces resolution times. The platform integrates effortlessly with diverse systems, supporting centralized log management, security monitoring, and application performance analysis. Users leverage its comprehensive analytics for troubleshooting, alerting, and visualization, optimizing costs and ensuring compliance with unified data sources.
What are the key features of Splunk Cloud Platform?In many industries, Splunk Cloud Platform is implemented primarily for unified log management, cybersecurity initiatives, and application performance monitoring. Businesses utilize it to streamline IT operations, integrate data sources, and leverage insights for troubleshooting and strategic decision-making, ensuring compliance and optimized resource use.
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