Splunk Enterprise Security and IBM SevOne Network Performance Management (NPM) both serve the network performance and security analysis sector. Splunk holds an advantage with its vast data ingestion and search capabilities, crucial for Security Information and Event Management (SIEM), though SevOne excels in real-time network performance monitoring and device integration.
Features: Splunk Enterprise Security offers comprehensive log management, operational intelligence, and its proprietary Search Processing Language (SPL), which facilitates powerful data analysis. It excels in rapid search performance and can ingest a broad range of data types, supporting compliance and SIEM needs. IBM SevOne NPM is known for effective network performance monitoring, handling multiple vendor devices, and scalability. It provides real-time data insights, making it suitable for performance metrics analysis and monitoring various network elements.
Room for Improvement: Splunk users suggest enhancements in visualization, ease of setup, and user interfaces, including better GUI for cluster management and improved ticketing system integration to optimize SOC usability. SevOne requires improvements in its reporting and visualization capabilities, emphasizing the need for detailed data insights and enhanced integrative features.
Ease of Deployment and Customer Service: Splunk supports deployment in hybrid, cloud, and on-premises environments, but customer service feedback is mixed, with notes on delayed response times and engagement issues. In contrast, SevOne focuses on on-premises and hybrid deployments, with praise for its responsive and knowledgeable support team, effective in resolving technical issues.
Pricing and ROI: Splunk is considered a premium solution with significant costs; however, the price is justified by robust features and scalability, yielding high ROI through operational efficiency. SevOne offers flexible pricing with a pay-as-you-grow model, making it more adaptable to diverse enterprise requirements. Despite its high cost, users find value in its network insights and scalability, resulting in a positive ROI from reduced operational costs.
Splunk's cost is justified for large environments with extensive assets.
The technical support from IBM for SevOne Network Performance Management (NPM) is very good.
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.
The technical support for Splunk met my expectations.
It is suitable for small, medium, and enterprise-level companies.
It is easy to scale.
They struggle a bit with pure virtual environments, but in terms of how much they can handle, it is pretty good.
The stability of IBM SevOne Network Performance Management (NPM) is excellent.
It provides a stable environment but needs to integrate with ITSM platforms to achieve better visibility.
It is very stable.
It would be beneficial to have out-of-the-box integration with third-party vendors and improvements in correlation features.
Splunk Enterprise Security would benefit from a more robust rule engine to reduce false positives.
What Splunk could do better is to create an API to the standard SIEM tools, such as Microsoft Sentinel.
Data retention can be better. If we want to look at the data for five months or six months, that is not available to us. We only have a history of 20 or 30 days.
The platform requires significant financial investment and resources, making it expensive despite its comprehensive features.
I saw clients spend two million dollars a year just feeding data into the Splunk solution.
Splunk is priced higher than other solutions.
The most valuable features of IBM SevOne Network Performance Management (NPM) are its stability, usability, visibility, and user-friendly interface.
This capability is useful for performance monitoring and issue identification.
They have approximately 50,000 predefined correlation rules.
Splunk Enterprise Security's most valuable features are its stability and the robust Splunk Search Processing Language.
The IBM® SevOne Network Performance Management (IBM SevOne NPM) solution helps you spot, address, and prevent network performance issues early with machine learning-powered analytics from a single source. Boost network performance and improve your user application experience by proactively monitoring your multivendor end-to-end network across enterprise, communication, and managed service provider networks.
Transform raw network performance data into intelligent and actionable insights. The IBM SevOne NPM solution goes beyond detection, combining industry-leading expertise and advanced technology to help your IT team plan and optimize your network and act on what matters: improving network performance to provide an exceptional customer experience.
For further information, please visit www.ibm.com/cloud/sevo...
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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