

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.
Because we selected Pyramid Analytics for our product and we are not going to throw out all the work I previously did, we just go with Pyramid Analytics for the product.
Splunk Enterprise Platform saves approximately 20 to 30 percent of my time without having to perform different actions separately.
I have seen a return on investment from using Splunk Enterprise Platform, illustrated by tracking how the daily data volume has been indexed, the estimated cost, the monthly actual report, and the annual report.
The one time we had an issue related to something with the logins, they addressed it that morning.
They always answer quite promptly.
We contacted support and they were able to provide us with the solution which is currently working fine.
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.
The whole process takes time with Pyramid Analytics.
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.
It is highly stable and scalable for us.
Some products can automatically scale, but Splunk requires manual configuration changes to achieve scale, which is slightly outdated compared to modern technologies.
Pyramid Analytics is stable in my experience; there have not really been issues with downtime or bugs.
Our L1 and L2 teams get real-time alerts and query the SPL effectively without delays that other SIEM solutions may impose.
It is highly stable and scalable for us.
It requires managing configuration files and processing operations manually, limiting its auto-scaling capabilities.
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.
Visually, when you want to see the whole model and the connections between tables, the view is not friendly.
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.
I could also build some pre-indexed summaries so that Splunk Enterprise Platform can search much faster than raw logs.
From an architectural standpoint, data onboarding, normalization, performance, and scalability improvements would be beneficial, particularly in optimizing search speed and query execution to handle larger searches efficiently.
It's not more expensive than all our other BI tools regarding Pyramid Analytics.
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.
We ingest terabytes of data, so I can say Splunk Enterprise Platform is somewhat costly.
Splunk Enterprise Platform is expensive.
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.
I wish it would be more friendly to a developer, not only just to an end customer.
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 anomaly detection is very good for live production data. Whenever an anomaly comes in an application, it automatically resolves and just gives the notification.
Splunk Enterprise Platform will create an incident and detect this as a credential compromise because we have a successful login from another location.
| Product | Mindshare (%) |
|---|---|
| Splunk Enterprise Platform | 1.5% |
| Pyramid Analytics | 1.6% |
| Other | 96.9% |


| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 3 |
| Large Enterprise | 1 |
| Company Size | Count |
|---|---|
| Small Business | 29 |
| Midsize Enterprise | 4 |
| Large Enterprise | 28 |
Pyramid Analytics provides comprehensive BI reporting, data visualization, and analytics capabilities, integrating with systems like SAP and MSAS for enhanced data-driven decision-making across multiple industries.
Pyramid Analytics is a robust platform offering advanced data model capabilities, drill-down reports, and extensive connectors. With support for DAX queries and a range of AI functionalities, it empowers finance departments to analyze data and provide real-time insights for executives. Despite challenges such as non-intuitive visuals and data management difficulties, it remains a versatile tool for enterprise projects, enabling detailed report development, dashboard creation, and self-service analytics.
What are the key features of Pyramid Analytics?Pyramid Analytics is widely implemented across industries such as finance for detailed data analysis and contact center reporting. It supports enterprise projects by enabling user-friendly data exploration that facilitates comprehensive decision-making. With its integration capabilities, it helps organizations leverage existing systems for better analytics outcomes.
Splunk Enterprise Platform provides high flexibility and integration, featuring strong analytics, data ingestion, and real-time monitoring, catering to diverse industry needs and enhancing threat detection and data analysis.
Splunk Enterprise Platform is renowned for its powerful capabilities in log management, threat detection, and data visualization. It supports infrastructure monitoring and anomaly detection, crucial for Security Incident and Event Management operations. With its scalable architecture, users can efficiently manage data ingestion and create personalized dashboards, utilizing Splunk Processing Language for comprehensive querying and system performance assessment. This platform offers enhanced threat detection through its robust anomaly detection features and real-time monitoring capabilities, with machine learning enabling predictive analytics.
What features make Splunk Enterprise Platform stand out?In industries like finance, healthcare, and technology, Splunk Enterprise Platform is implemented to monitor infrastructure, manage logs, and enhance security protocols. Companies utilize its predictive analytics for strategic planning and operational efficiency, focusing on integration with AWS, EDR, and firewalls for comprehensive data visualization and threat management.
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