Logstash vs Packetbeat

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Logstash

9.5K
7.2K
+ 1
102
Packetbeat

14
42
+ 1
4
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Logstash vs Packetbeat: What are the differences?

Developers describe Logstash as "Collect, Parse, & Enrich Data". 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. On the other hand, Packetbeat is detailed as "Open Source application monitoring & packet tracing system". Packetbeat agents sniff the traffic between your application processes, parse on the fly protocols like HTTP, MySQL, Postgresql or REDIS and correlate the messages into transactions.

Logstash can be classified as a tool in the "Log Management" category, while Packetbeat is grouped under "Network Monitoring".

Some of the features offered by Logstash are:

  • Centralize data processing of all types
  • Normalize varying schema and formats
  • Quickly extend to custom log formats

On the other hand, Packetbeat provides the following key features:

  • Packetbeat Statistics: Contains high-level views like the network topology, the application layer protocols repartition, the response times repartition, and others
  • Packetbeat Search: This page enables you to do full text searches over the indexed network messages
  • Packetbeat Query Analysis: This page demonstrates more advanced statistics like the top N slow SQL queries, the database throughput or the most common MySQL erro

Logstash and Packetbeat are both open source tools. Logstash with 10.3K GitHub stars and 2.78K forks on GitHub appears to be more popular than Packetbeat with 7.48K GitHub stars and 2.54K GitHub forks.

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Pros of Logstash
Pros of Packetbeat
  • 68
    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
  • 2
    Easy setup
  • 2
    Works well with ELK stack

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Cons of Logstash
Cons of Packetbeat
  • 4
    Memory-intensive
  • 1
    Documentation difficult to use
    Be the first to leave a con

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    - No public GitHub repository available -

    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.

    What is Packetbeat?

    Packetbeat agents sniff the traffic between your application processes, parse on the fly protocols like HTTP, MySQL, Postgresql or REDIS and correlate the messages into transactions.

    Need advice about which tool to choose?Ask the StackShare community!

    Jobs that mention Logstash and Packetbeat as a desired skillset
    CBRE
    United Kingdom of Great Britain and Northern Ireland England Farnborough
    What companies use Logstash?
    What companies use Packetbeat?
    See which teams inside your own company are using Logstash or Packetbeat.
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    What tools integrate with Logstash?
    What tools integrate with Packetbeat?

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    Blog Posts

    May 21 2019 at 12:20AM

    Elastic

    ElasticsearchKibanaLogstash+4
    12
    3837
    GitHubPythonReact+42
    48
    39832
    GitHubMySQLSlack+44
    109
    50315
    What are some alternatives to Logstash and Packetbeat?
    Fluentd
    Fluentd collects events from various data sources and writes them to files, RDBMS, NoSQL, IaaS, SaaS, Hadoop and so on. Fluentd helps you unify your logging infrastructure.
    Splunk
    It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.
    Kafka
    Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.
    Beats
    Beats is the platform for single-purpose data shippers. They send data from hundreds or thousands of machines and systems to Logstash or Elasticsearch.
    Graylog
    Centralize and aggregate all your log files for 100% visibility. Use our powerful query language to search through terabytes of log data to discover and analyze important information.
    See all alternatives