BigPanda and Splunk Enterprise Platform are two main competitors in the IT operations and data analytics category. BigPanda holds an advantage when it comes to pricing and support, while Splunk Enterprise Platform stands out for its extensive features that justify the higher cost for many users.
Features: BigPanda is equipped with AI-driven event correlation and automation, aiding efficient incident management, alert noise reduction, and integration with systems like WatchGuard. Splunk Enterprise Platform is recognized for its data analytics capabilities, scalability for data visualization and log management, and SPL language for robust data analysis and customization.
Room for Improvement: BigPanda may improve by enhancing customization options, expanding AI functionalities for advanced analytics, and refining integrations for more seamless operation. Splunk Enterprise Platform could benefit from a simplified deployment process, improved initial user training, and reducing costs associated with its advanced features.
Ease of Deployment and Customer Service: BigPanda offers a rapid and straightforward deployment process that requires minimal configuration, supported by responsive customer service. On the other hand, Splunk Enterprise Platform provides comprehensive documentation and support, though its deployment process may require significant setup and integration efforts.
Pricing and ROI: BigPanda presents a cost-effective solution with a quicker return on investment due to its efficient deployment and management capabilities. Splunk Enterprise Platform comes with a higher initial investment, yet its advanced analytics often prove valuable for organizations needing thorough data insights, making it preferred by those focused on detailed analytics despite the cost.
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.
Splunk Enterprise Platform saves approximately 20 to 30 percent of my time without having to perform different actions separately.
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.
It is crucial for anyone looking to deploy Splunk Enterprise Platform to first certify for their courses, such as the Splunk Administrator and the Power User Administrator certifications, which address all troubleshooting queries.
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.
Some products can automatically scale, but Splunk requires manual configuration changes to achieve scale, which is slightly outdated compared to modern technologies.
If the server is down, I can upgrade the server resources or create a new node for performance optimization.
Splunk Enterprise Platform is scalable to some extent, which is acceptable.
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.
It requires managing configuration files and processing operations manually, limiting its auto-scaling capabilities.
Splunk Enterprise Platform is stable when not integrating or adding new devices continuously.
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.
The deep learning capabilities need enhancing, especially on Splunk Cloud, where customers find it challenging to use deep learning tools without setting up backend computing resources.
It is complex for inexperienced cybersecurity engineers and requires experienced personnel to handle it effectively.
The cost is the most significant area for improvement in Splunk Enterprise Platform, as it is quite expensive, causing many clients to differ due to this reason.
The pricing for BigPanda is reasonable compared to other event management tools, given its advantages.
The pricing model is based on ingesting data sizes, not user count, and includes a free tier for up to 500 MB of daily data.
Splunk Enterprise Platform 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.
Splunk Enterprise Platform also has its own Phantom as a SOAR, which is much more refined and gives more accurate results than any other AI integrated SIM tool.
The features that have proven most effective for real-time data analysis include parts of the platform and its automation capabilities.
One valuable feature of Splunk Enterprise Platform is citizen programming, which allows users to manage and compute huge stream-based datasets easily using SPL language.
| Product | Market Share (%) |
|---|---|
| Splunk Enterprise Platform | 1.9% |
| BigPanda | 4.5% |
| Other | 93.6% |
| Company Size | Count |
|---|---|
| Small Business | 6 |
| Large Enterprise | 11 |
| Company Size | Count |
|---|---|
| Small Business | 11 |
| Midsize Enterprise | 1 |
| Large Enterprise | 23 |
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.”
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