

Pyramid Analytics and Splunk Enterprise Platform compete in the business analytics and data management domain. Splunk often has the upper hand due to its advanced features and long-term value proposition.
Features: Pyramid Analytics provides simplified data preparation, user-friendly analytics, and extensive self-service capabilities. Splunk Enterprise Platform offers real-time data analytics, powerful search capabilities, and customizable dashboards for advanced data management.
Room for Improvement: Pyramid Analytics could enhance integration with third-party applications, improve its graphic designer's interface, and extend support for diverse data sources. Splunk Enterprise Platform might simplify its UI further, reduce complexity in dashboard creation, and offer more intuitive support for new users.
Ease of Deployment and Customer Service: Pyramid Analytics is recognized for easily accessible deployment and responsive customer service. While Splunk Enterprise Platform features comprehensive support, its deployment can be more complex due to the diverse functionalities it offers.
Pricing and ROI: Pyramid Analytics typically offers lower initial setup costs and rapid ROI. Splunk Enterprise Platform, although more expensive upfront, justifies the cost with significant long-term benefits thanks to its extensive analytics capabilities.
There is a positive return on the data investment for my clients using Pyramid Analytics.
Splunk Enterprise Platform saves approximately 20 to 30 percent of my time without having to perform different actions separately.
The one time we had an issue related to something with the logins, they addressed it that morning.
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.
When we encounter issues, we utilize the Splunk community, which I believe showcases a big advantage of Splunk due to its strong community support.
Regarding Pyramid Analytics' scalability from what I have seen, with the right people managing it, it can handle growing amounts of data and users well.
Splunk allows for scalability, as you can start with an all-in-one instance and, as your deployment grows, split it into distributed deployment, such as separating the search head and indexers.
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.
Pyramid Analytics is stable in my experience; there have not really been issues with downtime or bugs.
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.
Any advanced user wants to implement an idea that they have, and while the whole idea of a platform is not necessarily to give a custom solution, I would not mind if they had more in terms of AutoML or that sort of capability.
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 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.
Regarding pricing, I remember that Splunk is generally more expensive than SIEMs such as Microsoft Sentinel and Securonix, while it is also pricier than Elastic Security.
After implementing Pyramid Analytics for my clients, I have seen measurable outcomes and specific improvements, such as having a single platform that gets them from the raw data to the endpoint reporting.
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 | 1.5% |
| Pyramid Analytics | 1.8% |
| Other | 96.7% |

| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 1 |
| Large Enterprise | 1 |
| Company Size | Count |
|---|---|
| Small Business | 12 |
| Midsize Enterprise | 1 |
| Large Enterprise | 23 |
The BI Office from Pyramid Analytics is a web-based governed data discovery and analytics platform. It integrates the four principal functions of any comprehensive BI strategy into a single, seamless application. Users can now analyze, present, report and predict on their data in a single application. Pyramid Analytics has native apps to cover the entire mobile spectrum, iOS, Android and Windows. With BI Office users can integrate SAP data with data from other sources giving them the right tools and better data to make data-driven decisions.
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