Splunk Enterprise Security and Glassbeam cater to data analytics and management needs. Splunk Enterprise Security often receives praise for its extensive capabilities, whereas Glassbeam is noted for its cost-effectiveness and unique features.
Features: Splunk Enterprise Security's powerful data correlation, search functionalities, and comprehensive threat detection make it valuable. Users highlight its robust security features. Glassbeam handles complex data formats with scalable architecture, offering specialized data analytics and machine learning capabilities.
Room for Improvement: Splunk Enterprise Security could streamline its configuration process, reduce resource consumption, and enhance user documentation. Glassbeam needs improvements in documentation, integration capabilities, and better user support channels.
Ease of Deployment and Customer Service: Splunk Enterprise Security has a complex and time-consuming deployment process, but its customer service is efficient and responsive. Glassbeam offers straightforward deployment with slightly slower yet supportive customer service.
Pricing and ROI: Splunk Enterprise Security has higher setup costs but offers substantial ROI through its extensive features. Glassbeam is more affordable and provides satisfactory ROI, reflecting a different focus rather than lesser capability.
Glassbeam Big Data Platform and applications helps your support teams troubleshoot faster, allows your engineering teams to build better
products and provides up-sell visibility for sales teams to increase revenues.
Our proprietary end-to-end solutions for IoT Analytics are powered by our patent-pending semiotic parsing language (SPL) and SCALAR hyper scale platform. Our platform enables our clients to ingest, parse and analyze complex machine data logs of usage, performance, configuration, and settings information. It can handle all types of machine log data, regardless of variety (structured, unstructured or semi-structured), velocity (streaming and batch uploads), and volume (retention over 3-4 years or more).
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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