Splunk
Build digital resilience with AI-powered data analytics.
Quick facts
- Best for
- Build digital resilience with AI-powered data analytics.
- Pricing
- Freemium
- Editor rating
- 4.5 / 5
- Community saves
- 0
About Splunk
Splunk is a platform designed to enhance enterprise resilience by accelerating digital transformation and mitigating major issues that arise in organizations globally. The platform is broadly structured into three main components: the Cloud Platform, Security tools, and Observability tools. The Cloud Platform offers a flexible data service, helping manage critical data and storage costs. It also facilitates IT modernization through AIOps and enables a holistic view of IT Service Health.In terms of security, Splunk provides an AI-powered SecOps platform that integrates Threat and Incident Detection and Response (TDIR). It offers a variety of capabilities, including a Security Information and Event Management system (SIEM), Security Orchestration, Automation, and Response (SOAR), User and Entity Behavior Analytics (UEBA), automated threat analysis, and asset and risk discovery.Splunk's Observability tools provide real-time visibility across diverse environments, enhancing service performance with AIOps and optimizing applications with comprehensive insights. This helps to prioritize alerts, troubleshoot issues faster, prevent user-impacting issues, and diagnose root causes in microservices.Splunk's diverse tools and capabilities are utilized across a wide range of industries to enhance security and observability at the enterprise scale. The flexible and adaptive nature of the platform supports users in maximizing network resilience and optimally implementing AI in various contexts.
Pros
- Flexible data service
- Manages critical data
- Helps control storage costs
- Facilitates IT modernization
- Holistic IT Service Health
- Integrates Threat and Incident Detection
- Offers SIEM system
- Offers SOAR capabilities
- Provides UEBAAutomated threat analysis
- Asset discovery
- Risk discovery
- Real-time visibility across environments
Cons
- Complex initial setup
- Costly in large scale
- Limited support documentation
- Performance issues with high data volumes
- Difficult customization
- Intensive hardware requirements
- No pre-built data visualization
- Inability to handle unformatted log data
- Slower indexed searches
- Indirect tech support system
