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Filebeat

105
197
+ 1
0
Logstash

8K
6K
+ 1
101
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Filebeat vs Logstash: What are the differences?

Developers describe Filebeat as "A lightweight shipper for forwarding and centralizing log data". It helps you keep the simple things simple by offering a lightweight way to forward and centralize logs and files. On the other hand, Logstash is detailed 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.

Filebeat and Logstash can be primarily classified as "Log Management" tools.

Logstash is an open source tool with 10.3K GitHub stars and 2.78K GitHub forks. Here's a link to Logstash's open source repository on GitHub.

Airbnb, reddit, and Typeform are some of the popular companies that use Logstash, whereas Filebeat is used by Betaout, Trustpilot, and Fortytwo Data. Logstash has a broader approval, being mentioned in 563 company stacks & 278 developers stacks; compared to Filebeat, which is listed in 6 company stacks and 3 developer stacks.

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Pros of Filebeat
Pros of Logstash
    Be the first to leave a pro
    • 67
      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

    Sign up to add or upvote prosMake informed product decisions

    Cons of Filebeat
    Cons of Logstash
      Be the first to leave a con
      • 3
        Memory-intensive
      • 1
        Documentation difficult to use

      Sign up to add or upvote consMake informed product decisions

      - No public GitHub repository available -

      What is Filebeat?

      It helps you keep the simple things simple by offering a lightweight way to forward and centralize logs and files.

      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.

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

      What companies use Filebeat?
      What companies use Logstash?
      See which teams inside your own company are using Filebeat or Logstash.
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      Sign up to get full access to all the companiesMake informed product decisions

      What tools integrate with Filebeat?
      What tools integrate with Logstash?

      Sign up to get full access to all the tool integrationsMake informed product decisions

      Blog Posts

      May 21 2019 at 12:20AM

      Elastic

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      What are some alternatives to Filebeat and Logstash?
      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.
      Rsyslog
      It offers high-performance, great security features and a modular design. It is able to accept inputs from a wide variety of sources, transform them, and output to the results to diverse destinations.
      Metricbeat
      Collect metrics from your systems and services. From CPU to memory, Redis to NGINX, and much more, It is a lightweight way to send system and service statistics.
      Kafka
      Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.
      ELK
      It is the acronym for three open source projects: Elasticsearch, Logstash, and Kibana. Elasticsearch is a search and analytics engine. Logstash is a server‑side data processing pipeline that ingests data from multiple sources simultaneously, transforms it, and then sends it to a "stash" like Elasticsearch. Kibana lets users visualize data with charts and graphs in Elasticsearch.
      See all alternatives