

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.
We have seen a 100% increase in our overall revenue with the help of Pyramid Analytics.
There is a positive return on the data investment for my clients using Pyramid Analytics.
My best anecdote is during the COVID pandemic when it enabled much faster decision-making and for us to make decisions that protected the business from potential failure.
Key impact areas are generally time saved in investigations, higher analyst productivity, lowered costs of security incidents due to faster detection and response, and reduced manual reporting effort.
Splunk Enterprise Platform helped reduce the time required to investigate incidents by centralizing logs and providing powerful search capabilities.
Splunk Enterprise Platform improved our reliability, and the time to investment ratio has been excellent.
I would give customer support for Pyramid Analytics a ten because they were very responsive.
The support team is very responsive and helpful whenever we encounter any issues.
They're more than happy to get their developers on a call directly to assist as well.
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.
It is more than capable of being deployed on a scalable architecture.
As data grows and volume increases, scaling up is easily accomplished whenever needed, based on requirements.
We were able to handle larger data sets, meaning we could analyze old data to see how certain campaigns or products performed over the past one, two, three, five, and even ten years.
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.
In a day we get millions of hits for the APIs.
Pyramid Analytics is stable in my experience; there have not really been issues with downtime or bugs.
There are no issues with Pyramid Analytics in terms of speed or performance, even when we work with large data sets.
I found Pyramid Analytics to have some reliability issues; there was a time when the service was down for about a week, impacting our development and client dashboards, which should not happen, as data products should always be operational.
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.
Other improvements Pyramid Analytics needs are to make the platform more user-friendly for the layman because when presenting something this complicated to companies, if they cannot use it to its full capacity, it is a possible loss.
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.
When we went to market and had quotes from multiple different vendors including Power BI and other leading software tools, it was at a comparative level but lower and a bit more cost-effective.
It's not more expensive than all our other BI tools regarding Pyramid Analytics.
Some of the conditions where we require to update this licensing part where we will be cut off some of the annual price, some of the specific institution such as for education or EdTech or hospitals, this will be useful.
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.
The platform's ability to consolidate siloed tools into a single pane of glass provides immense value justifying the premium cost if the architecture is tightly managed.
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.
Pyramid Analytics's main power is its ability to hold the semantic layer inside so it understands the data such that all the dashboards put in front of people are self-service.
Pyramid Analytics has allowed us to be more insightful in our reporting, positively impacting our organization.
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 | 1.4% |
| Pyramid Analytics | 1.5% |
| Other | 97.1% |


| Company Size | Count |
|---|---|
| Small Business | 13 |
| Midsize Enterprise | 4 |
| Large Enterprise | 8 |
| Company Size | Count |
|---|---|
| Small Business | 34 |
| Midsize Enterprise | 8 |
| Large Enterprise | 43 |
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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