Loggly vs Logstash

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

Loggly is a Ai Tools & Services solution with tags like logging, monitoring, analytics, search.

It boasts features such as Real-time log monitoring and alerting, Advanced log search and filtering, Log archiving and analytics, Integration with various IT tools, Cloud-based platform and pros including Easy centralized log management, Powerful log analytics capabilities, Scalable cloud solution, Integrates well with existing systems, Intuitive UI and simple setup.

On the other hand, Logstash is a Network & Admin product tagged with logging, etl, data-processing.

Its standout features include 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 it shines with pros like Open source and free, Scalable and distributed, Large plugin ecosystem, Powerful log processing capabilities, Integrates well with Elasticsearch stack.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

Loggly

Loggly

Loggly is a cloud-based log management and analytics platform that helps developers and IT teams aggregate, search, analyze, monitor, and archive log data. It provides real-time log monitoring, advanced correlation features, and integrations with various IT infrastructure tools.

Categories:
Ai Tools & Services Log Management
logging monitoring analytics search

Loggly Features

  1. Real-time log monitoring and alerting
  2. Advanced log search and filtering
  3. Log archiving and analytics
  4. Integration with various IT tools
  5. Cloud-based platform

Pricing

  • Subscription-Based

Pros

Easy centralized log management

Powerful log analytics capabilities

Scalable cloud solution

Integrates well with existing systems

Intuitive UI and simple setup

Cons

Can get expensive for large volumes of logs

Limited long-term log archiving

Less customization options than self-hosted solutions

Requires internet connection

Logstash

Logstash

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.

Categories:
Network & Admin Log Management
logging etl data-processing

Logstash Features

  1. Real-time pipeline processing
  2. Plugin ecosystem for inputs, filters, outputs
  3. Built-in web interface
  4. Centralized logging pipeline
  5. Elasticsearch integration
  6. Kibana integration for data visualization

Pricing

  • Open Source

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