

Sigma and Splunk Enterprise Platform compete in the data analysis and monitoring space. While Sigma is attractive for its pricing and customer service, Splunk Enterprise Platform is viewed as superior due to its robust features and value for the investment.
Features: Sigma provides powerful cloud-based analytics and collaboration tools, excelling in data visualization and integration capabilities. Splunk Enterprise Platform offers advanced machine learning, comprehensive search functions, and extensive data handling. Its broader feature set effectively addresses complex data analysis needs.
Ease of Deployment and Customer Service: Sigma is praised for straightforward cloud deployment and responsive customer service, with benefits for organizations seeking hassle-free setup. Splunk Enterprise Platform has a more complex installation but is supported by comprehensive resources and knowledgeable support, offsetting its intensive initial setup.
Pricing and ROI: Sigma's lower setup cost and rapid return on investment appeal to businesses with budget constraints. Its cost-effectiveness is balanced by Splunk's higher initial investment, justified by its extensive feature set and scalability, leading to substantial ROI for organizations with advanced data needs.
It's essential for everything data-related within our company.
I have seen a return on investment with Sigma; we already said that it saves about a quarter, it gets me to answers about 25% faster.
I have definitely seen a return on investment through time saving because once the dashboards are built, they are built.
Splunk Enterprise Platform saves approximately 20 to 30 percent of my time without having to perform different actions separately.
As Sigma is a cloud platform, you do not need to do all that maintenance work.
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.
Permissions are easily set, so you only get to see what you need to see and you can share what needs to be shared.
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.
We did not face typical errors during our project with Sigma.
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.
The main improvement needed is in data modeling capabilities.
Sigma lacks a versioning feature to track changes.
It would be great if there was a way for me to create reports without relying on a data analyst.
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 of Sigma is a concern, as it restricts our ability to provide more users with report-creating capabilities due to the high cost of admin or report creator licenses.
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.
The use of Sigma in decision-making, presentations to customers, and reporting to investors showcases its value in handling data-related tasks.
Sigma has positively affected my organization by saving us time in accessing information, which ultimately gets us to complete projects faster.
Sigma has positively impacted my organization because I think it has been a huge impact, and we use it for all our reporting and our dashboards for tracking.
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% |
| Sigma | 2.1% |
| Other | 96.4% |
| Company Size | Count |
|---|---|
| Small Business | 5 |
| Midsize Enterprise | 3 |
| Large Enterprise | 2 |
| Company Size | Count |
|---|---|
| Small Business | 12 |
| Midsize Enterprise | 1 |
| Large Enterprise | 23 |
Sigma is the next-generation of analytics for cloud data warehouses with a familiar spreadsheet-like interface that gives business experts the power to ask any question of their data no matter the query.
Explore data of any type and value — no matter where it lives in your data ecosystem.
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