Splunk Enterprise Security and Microsoft Power BI compete in data analytics and security solutions. Splunk excels in comprehensive security management due to its advanced capabilities, making it advantageous in specific enterprise scenarios.
Features: Splunk Enterprise Security offers real-time alerting, data-driven decision-making, and actionable security intelligence, making it ideal for security-focused tasks. Microsoft Power BI is known for its dynamic data visualization and interactive dashboards, catering to organizations focused on business intelligence.
Room for Improvement: Splunk Enterprise Security might improve by simplifying its deployment process and reducing associated costs. Users also suggest enhancing its data visualization capabilities for a broader range of applications. Power BI can enhance its security features, provide more real-time analytics, and integrate better with non-Microsoft products to expand its usability.
Ease of Deployment and Customer Service: Splunk Enterprise Security requires comprehensive deployment, supported by strong customer service, which can be demanding for some users. Microsoft Power BI is easier to deploy, with robust community support and compatibility across different environments, making it accessible for a wider audience.
Pricing and ROI: Splunk Enterprise Security involves higher initial costs, but provides significant ROI for organizations emphasizing security. Microsoft Power BI presents a more cost-effective option, delivering excellent ROI for businesses focused on data visualization and analysis.
In a world surrounded by data, tools that allow navigation of large data volumes ensure decisions are data-driven.
Power BI is easy to deploy within an hour, providing robust security against data leaks.
I have noticed a return on investment with Splunk Enterprise Security, as it delivers substantial value for money.
Splunk's cost is justified for large environments with extensive assets.
The significant drawback I notice is that Microsoft's size makes it hard to get specific change requests addressed unless they involve a bug.
We have a partnership with Microsoft, involving multiple weekly calls with dedicated personnel to ensure our satisfaction.
The support is good because there is also a community available.
If you want to write your own correlation rules, it is very difficult to do, and you need Splunk's support to write new correlation rules for the SIEM tool.
I have sought assistance from Splunk Enterprise Security support in the past, particularly during deployment, and they provide friendly and effective help.
The technical support for Splunk met my expectations.
You expect only a small percentage of users concurrently, but beyond a thousand concurrent users, it becomes difficult to manage.
With increasing AI capabilities, architectural developments within Microsoft, and tools like Fabric, I expect Power BI to scale accordingly.
As more data is processed, performance issues may arise.
They struggle a bit with pure virtual environments, but in terms of how much they can handle, it is pretty good.
It is easy to scale.
I find it easy to scale Splunk Enterprise Security for our environment.
In terms of stability, there's no data loss or leakage, and precautions are well-managed by Microsoft.
We typically do not have problems with end-user tools like Excel and Power BI.
It is very stable for small data, but with big data, there are performance challenges.
It provides a stable environment but needs to integrate with ITSM platforms to achieve better visibility.
It is very stable.
This makes Power BI difficult to manage as loading times can reach one or two minutes, which is problematic today.
Access was more logical in how it distinguished between data and its formatting.
Microsoft updates Power BI monthly based on user community feedback.
Improving the infrastructure behind Splunk Enterprise Security is vital—enhanced cores, CPUs, and memory should be prioritized to support better processing power.
What Splunk could do better is to create an API to the standard SIEM tools, such as Microsoft Sentinel.
Splunk Enterprise Security would benefit from a more robust rule engine to reduce false positives.
I found the setup cost to be expensive
Power BI isn't very cheap, however, it is economical compared to other solutions available.
The pricing for Microsoft Power BI is low, which is a good selling point.
I saw clients spend two million dollars a year just feeding data into the Splunk solution.
The platform requires significant financial investment and resources, making it expensive despite its comprehensive features.
Splunk is priced higher than other solutions.
In today's data-driven environment, these tools are of substantial value, particularly for large enterprises with numerous processes that require extensive data analysis.
Within the organization, Microsoft Power BI is used to create dashboards and gain insights into data, enhancing data-driven decision-making.
The solution makes it easy for me to develop reports and publish them.
This capability is useful for performance monitoring and issue identification.
They have approximately 50,000 predefined correlation rules.
The Splunk Enterprise Security's threat-hunting capabilities have been particularly useful in later releases.
Microsoft Power BI is a powerful tool for data analysis and visualization. This tool stands out for its ability to merge and analyze data from various sources. Widely adopted across different industries and departments, Power BI is instrumental in creating visually appealing dashboards and generating insightful business intelligence reports. Its intuitive interface, robust visualization capabilities, and seamless integration with other Microsoft applications empower users to easily create interactive reports and gain valuable insights.
Splunk Enterprise Security is widely used for security operations, including threat detection, incident response, and log monitoring. It centralizes log management, offers security analytics, and ensures compliance, enhancing the overall security posture of organizations.
Companies leverage Splunk Enterprise Security to monitor endpoints, networks, and users, detecting anomalies, brute force attacks, and unauthorized access. They use it for fraud detection, machine learning, and real-time alerts within their SOCs. The platform enhances visibility and correlates data from multiple sources to identify security threats efficiently. Key features include comprehensive dashboards, excellent reporting capabilities, robust log aggregation, and flexible data ingestion. Users appreciate its SIEM capabilities, threat intelligence, risk-based alerting, and correlation searches. Highly scalable and stable, it suits multi-cloud environments, reducing alert volumes and speeding up investigations.
What are the key features?Splunk Enterprise Security is implemented across industries like finance, healthcare, and retail. Financial institutions use it for fraud detection and compliance, while healthcare organizations leverage its capabilities to safeguard patient data. Retailers deploy it to protect customer information and ensure secure transactions.
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