BMC Compuware Strobe vs Splunk Enterprise Security comparison

Compuware Strobe is the industry-leading mainframe application performance management and analysis solution for mainframe applications. With Strobe, IT departments can pinpoint application inefficiencies that cause excessive CPU consumption, elongated elapsed times and reduce hardware and software costs while increasing customer satisfaction.

With Strobe, mainframe teams can:

• Locate and improve resource-consumptive database calls
• Identify tuning opportunities to reduce monthly software licensing costs (MLC)
• Resolve performance issues before they impact application service levels
• Apply analytics to captured data to produce reports showing high-resource consumption and applications that need tuning
• Measure activity of both online and batch-processing applications in single and multiple- system environments
• Identify several I/O problems, including inefficient VSAM file buffering
• Create and schedule automatic, reusable measurements
• Automatically detect performance problems by using a rolling average of CPU consumption and elapsed-time metrics

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.

• Comprehensive Dashboards: Provide a holistic view of security operations.
• Flexible Data Ingestion: Supports various data sources for better analysis.
• Robust Log Aggregation: Centralizes log management for easier monitoring.
• Machine Learning Toolkit: Enhances threat detection and prediction capabilities.
• SIEM Capabilities: Integrates security information and event management.
• Threat Intelligence: Utilizes external information to improve security measures.
• Risk-Based Alerting: Prioritizes alerts based on the risk they pose.
• Correlation Searches: Identifies and correlates security events effectively.

• Enhanced Visibility: Improves monitoring across endpoints, networks, and users.
• Faster Incident Response: Speeds up identification and resolution of security issues.
• Reduced Alert Volumes: Lowers false positives and enhances signal-to-noise ratio.
• Scalability: Adapts to growing and changing security needs.
• Improved Security Operations: Integrates multiple security facets into one platform.

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.