

Find out what your peers are saying about Zabbix, Datadog, Auvik and others in IT Infrastructure Monitoring.
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.
The documentation for Splunk Enterprise Security is outstanding. It is well-organized and easy to access.
We couldn't calculate what would have been the cost if they had actually gotten compromised; however, they were in the process, so every investment was returned immediately.
On average, my SecOps team takes probably at least a quarter of the time, if not more, to remediate security incidents with Splunk Enterprise Security compared to our previous solution.
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.
We have paid for Splunk support, and we’re not on the free tier hoping for assistance; we are a significant customer and invest a lot in this service.
I have had nothing but good experiences with Splunk support, receiving timely and helpful replies.
We've had great customer success managers who have helped us navigate scaling from 600 gigs to 30 terabytes.
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 currently rely on disaster recovery and backup recovery, which takes time to recover, during which you're basically blind, so I'm pushing my leadership team to switch over to a clustering environment for constant availability.
It is one of the things that separates it from other tooling, and if not, it is the most scalable solution out there.
They struggle a bit with pure virtual environments, but in terms of how much they can handle, it is pretty good.
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.
They test it very thoroughly before release, and our customers have Splunk running for months without issues.
Splunk has been very reliable and very consistent.
We need more SMEs, and there is no mechanism to tell us about indexer or search head issues.
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.
Improving the infrastructure behind Splunk Enterprise Security is vital—enhanced cores, CPUs, and memory should be prioritized to support better processing power.
Splunk Enterprise Security is not something that automatically picks things; you have to set up use cases, update data models, and link the right use cases to the right data models for those detections to happen.
For any future enhancements or features, such as MLTK and SOAR platform integration, we need more visibility, training, and certification for the skilled professionals who are working.
The pricing for BigPanda is reasonable compared to other event management tools, given its advantages.
I saw clients spend two million dollars a year just feeding data into the Splunk solution.
The platform requires significant financial investment and resources, making it expensive despite its comprehensive features.
I find it to be affordable, which is why every industry uses it.
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.
This capability is useful for performance monitoring and issue identification.
I assess Splunk Enterprise Security's insider threat detection capabilities for helping to find unknown threats and anomalous user behavior as great.
Splunk Enterprise Security provides the foundation for unified threat detection, investigation, and response, enabling fast identification of critical issues.
| Product | Mindshare (%) |
|---|---|
| BigPanda | 0.6% |
| Zabbix | 5.2% |
| Datadog | 3.7% |
| Other | 90.5% |
| Product | Mindshare (%) |
|---|---|
| Splunk Enterprise Security | 7.1% |
| IBM Security QRadar | 5.2% |
| Wazuh | 4.6% |
| Other | 83.1% |


| Company Size | Count |
|---|---|
| Small Business | 6 |
| Large Enterprise | 11 |
| Company Size | Count |
|---|---|
| Small Business | 117 |
| Midsize Enterprise | 51 |
| Large Enterprise | 269 |
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 Enterprise Security delivers powerful log management, rapid searches, and intuitive dashboards, enhancing real-time analytics and security measures. Its advanced machine learning and wide system compatibility streamline threat detection and incident response across diverse IT environments.
Splunk Enterprise Security stands out in security operations with robust features like comprehensive threat intelligence and seamless data integration. Its real-time analytics and customizable queries enable proactive threat analysis and efficient incident response. Integration with multiple third-party feeds allows detailed threat correlation and streamlined data visualization. Users find the intuitive UI and broad compatibility support efficient threat detection while reducing false positives. Despite its strengths, areas such as visualization capabilities and integration processes with cloud environments need enhancement. Users face a high learning curve, and improvements in automation, AI, documentation, and training are desired to maximize its potential.
What Are the Key Features of Splunk Enterprise Security?In specific industries like finance and healthcare, Splunk Enterprise Security is instrumental for log aggregation, SIEM functionalities, and compliance monitoring. Companies leverage its capabilities for proactive threat analysis and response, ensuring comprehensive security monitoring and integration with various tools for heightened operational intelligence.
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