Gravwell

Gravwell

Gravwell is an open source log analytics and security monitoring platform designed for high-performance log collection, indexing, and search. It provides real-time insights into user and system behavior.
Gravwell image
log-analytics security-monitoring log-collection indexing search

Gravwell: Open Source Log Analytics & Security Monitorings

Gravwell is an open source log analytics and security monitoring platform designed for high-performance log collection, indexing, and search. It provides real-time insights into user and system behavior.

What is Gravwell?

Gravwell is an open source log analytics and security monitoring platform designed specifically for high-performance log collection, indexing, and search across massive datasets. It ingests logs, network traffic, and other machine-generated data at very high speeds and provides real-time search and analytics capabilities.

Some key features and capabilities of Gravwell include:

  • Real-time search - Query your data as its ingested for immediate insights.
  • Scalable architecture - Gravwell leverages clustering and load balancing to scale to incredibly high data ingest rates and storage capacities.
  • Fast performance - Purpose-built indexing and caching strategies provide blazing fast query results.
  • Intuitive web UI - Interact with stored data visually to quickly pivot across time ranges, metadata values, statistical breakdowns and more.
  • Flexible querying - Supports full text, statistical, and regex search queries for advanced analysis.
  • Custom dashboards and reporting - Users can build custom dashboards tailored for their specific use cases.

Gravwell is trusted by various commercial, government, and military organizations for security monitoring, threat hunting, IT operations monitoring, application diagnostics, and more. Its high performance open source architecture makes it a cost-effective solution for managing massive volumes of machine data.

Gravwell Features

Features

  1. Real-time log ingestion and search
  2. Powerful query language for filtering and analytics
  3. Scalable architecture for handling high volume data
  4. Built-in dashboards and visualizations
  5. Collaboration features like saved searches and alerts
  6. APIs for integration and automation
  7. Open source with commercial support available

Pricing

  • Open Source
  • Commercial Support

Pros

Very fast search and analytics on large datasets

Flexible querying and filtering capabilities

Handles high volume streaming data ingestion

Scales horizontally for large deployments

Lower cost than commercial SIEM solutions

Cons

Steeper learning curve than other log tools

Requires more hardware resources than rivals

Limited built-in reports compared to SIEMs

Less out-of-box integrations than commercial options


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