Logstash vs Gravwell

Struggling to choose between Logstash and Gravwell? Both products offer unique advantages, making it a tough decision.

Logstash is a Network & Admin solution with tags like logging, etl, data-processing.

It boasts features such as Real-time pipeline processing, Plugin ecosystem for inputs, filters, outputs, Built-in web interface, Centralized logging pipeline, Elasticsearch integration, Kibana integration for data visualization and pros including Open source and free, Scalable and distributed, Large plugin ecosystem, Powerful log processing capabilities, Integrates well with Elasticsearch stack.

On the other hand, Gravwell is a Security & Privacy product tagged with log-analytics, security-monitoring, log-collection, indexing, search.

Its standout features include Real-time log ingestion and search, Powerful query language for filtering and analytics, Scalable architecture for handling high volume data, Built-in dashboards and visualizations, Collaboration features like saved searches and alerts, APIs for integration and automation, Open source with commercial support available, and it shines with pros like 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.

Feature	Logstash	Gravwell
Overall Score	1	N/A
Primary Category	Network & Admin	Security & Privacy

Product Overview

Logstash

Description: Logstash is an open source data processing pipeline that ingests data from multiple sources, transforms it, and then sends it to a destination. It is used for collecting, parsing, and storing logs for future use.

Gravwell

Description: 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.

Key Features Comparison

Logstash Features

• Real-time pipeline processing
• Plugin ecosystem for inputs, filters, outputs
• Built-in web interface
• Centralized logging pipeline
• Elasticsearch integration
• Kibana integration for data visualization

Gravwell Features

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

Pros & Cons Analysis

Logstash

Pros

• Open source and free
• Scalable and distributed
• Large plugin ecosystem
• Powerful log processing capabilities
• Integrates well with Elasticsearch stack

Cons

• Steep learning curve
• Resource intensive
• Complex configuration
• Not optimized for analytics

Gravwell

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

Pricing Comparison

Logstash

• Open Source

Gravwell

• Open Source
• Commercial Support