Elastic Stack vs Exabeam New-Scale Fusion
Comprehensive side-by-side comparison of Elastic Stack vs Exabeam New-Scale Fusion including features, integrations, customer segments, supported platforms, pros & cons, and company details. Find the best siem software solution for your business needs.
Product Comparison
Elastic Stack
Unlock Insights with Powerful Search and Analytics
Intelligent Security Operations for a Faster Response.
Description
Elastic Stack is a robust, scalable, and versatile search and analytics solution built on open-source technology. Comprising Elasticsearch, Logstash, Kibana, and Beats, it enables organizations to collect, process, store, and visualize data fr...
Description
Exabeam New-Scale Fusion is a cloud-native Security Operations Platform that unifies SIEM and analytics. It leverages AI and automation to streamline threat detection, investigation, and response (TDIR) workflows, enabling security teams to op...
Videos (1)
Videos (1)
Use Cases
Use Cases
Made For
Made For
Key Features
- Event Logs
- Search/Filter
- Data Visualization
- Customizable Dashboard
- Alerts/Notifications
- Log Collection
Key Features
- Activity Tracking
- Activity Dashboard
- Real-Time Notifications
- Alerts/Escalation
- AI/Machine Learning
- Activity Monitoring
Industries
- Technology
- Financial Services
- Healthcare
- Retail
- Manufacturing
Industries
- Financial Services
- Healthcare
- Retail
- Technology
- Government
Customer Segments
- Small Businesses
- Mid-size Businesses
- Large Enterprises
Customer Segments
- Small Businesses
- Mid-size Businesses
- Large Enterprises
Supported Platforms
- Web
Supported Platforms
- Web
Pros
- Highly scalable and performant for large datasets
- Flexible and versatile for a wide range of use cases
- Powerful search and analytics capabilities
- Rich visualization and dashboarding features
- Strong community support and extensive documentation
Cons
- Can be complex to set up and manage
- Resource intensive, requiring significant hardware resources
Pros
- AI-powered automation reduces alert fatigue and accelerates incident response.
- Cloud-native architecture provides scalability and flexibility.
- Comprehensive visibility across the security landscape through broad data source integration.
- Behavioral analytics detects anomalous activity that traditional SIEMs may miss.
Cons
- Potential complexity in initial configuration and integration.
- Reliance on cloud infrastructure may be a concern for some organizations.