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Cacti vs Logstash: What are the differences?

Introduction

Cacti and Logstash are both powerful tools used in monitoring and analyzing data, yet they excel in different aspects based on their unique functionalities. Below are the key differences between Cacti and Logstash.

1. Data Collection:

Cacti primarily focuses on network monitoring and data collection through SNMP (Simple Network Management Protocol), making it suitable for infrastructure monitoring. On the other hand, Logstash specializes in log collection and aggregation from various sources, providing insights into application performance and system behavior.

2. Data Processing:

While Cacti offers basic graphing capabilities for monitoring network metrics, Logstash stands out with its advanced data processing features. Logstash allows users to filter, parse, and transform data in real-time, enabling more intricate analysis and customization compared to Cacti.

3. Flexibility:

Cacti mainly works with SNMP-enabled devices, limiting its flexibility in data sources. In contrast, Logstash supports a wide range of data inputs, including logs, metrics, events, and more, making it a versatile tool for data collection and analysis across different platforms and systems.

4. Scalability:

In terms of scalability, Logstash is designed to handle large volumes of data efficiently due to its distributed architecture and scaling capabilities. Cacti, while suitable for smaller-scale network monitoring, may encounter limitations when dealing with extensive data sets or multiple data sources.

5. Integration:

Logstash is part of the larger Elastic Stack (ELK), which includes Elasticsearch and Kibana for data storage and visualization. This seamless integration allows users to easily store, search, and analyze data within the ELK ecosystem. In comparison, Cacti lacks built-in integration with other tools for comprehensive data analysis and visualization.

6. Use Cases:

Cacti is well-suited for network administrators and IT professionals looking to monitor network performance and availability using SNMP. On the other hand, Logstash caters to DevOps teams and developers seeking to gather and analyze log data, troubleshoot issues, and gain insights into system operations.

Summary

In summary, Cacti excels in network monitoring with SNMP data collection, while Logstash offers advanced data processing, flexibility with various data sources, scalability for large datasets, integration within the ELK stack, and caters to log analysis for DevOps teams.

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Pros of Cacti
Pros of Logstash
  • 3
    Free
  • 3
    Rrdtool based
  • 2
    Fast poller
  • 1
    Graphs from snmp
  • 1
    Graphs from language independent scripts
  • 69
    Free
  • 18
    Easy but powerful filtering
  • 12
    Scalable
  • 2
    Kibana provides machine learning based analytics to log
  • 1
    Great to meet GDPR goals
  • 1
    Well Documented

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Cons of Cacti
Cons of Logstash
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    • 4
      Memory-intensive
    • 1
      Documentation difficult to use

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    What is Cacti?

    Cacti is a complete network graphing solution designed to harness the power of RRDTool's data storage and graphing functionality. Cacti provides a fast poller, advanced graph templating, multiple data acquisition methods, and user management features out of the box.

    What is Logstash?

    Logstash is a tool for managing events and logs. You can use it to collect logs, parse them, and store them for later use (like, for searching). If you store them in Elasticsearch, you can view and analyze them with Kibana.

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    What companies use Cacti?
    What companies use Logstash?
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    What tools integrate with Cacti?
    What tools integrate with Logstash?

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    Blog Posts

    May 21 2019 at 12:20AM

    Elastic

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