Fluentd vs Logstash

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Fluentd

596
687
+ 1
37
Logstash

11.2K
8.6K
+ 1
103
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Fluentd vs Logstash: What are the differences?

Key Differences between Fluentd and Logstash

  1. Ease of Use: Fluentd provides a more intuitive and user-friendly interface compared to Logstash. It offers a simpler configuration syntax, making it easier for users to set up and manage their log collection and forwarding processes. On the other hand, Logstash has a steeper learning curve with a more complex configuration language, which requires users to have a deeper understanding of its internal workings.

  2. Extensibility: Fluentd allows for easy extensibility through its plugin ecosystem. It provides a wide range of plugins that can be used to enhance its functionality, such as input/output plugins for various data sources/destinations and filter plugins for data processing. In contrast, Logstash has a smaller plugin ecosystem and may require custom development for specific functionality not available out-of-the-box.

  3. Scalability: Fluentd is known for its lightweight and scalable architecture. It is designed to handle a large volume of log data, making it suitable for distributed environments. Logstash, on the other hand, is known to consume more system resources and may have limitations in handling high-throughput scenarios. It may require additional resources and optimizations to scale effectively.

  4. Performance: Fluentd is generally considered to have better performance compared to Logstash. It achieves this by utilizing a more efficient event buffering mechanism and a multi-threaded architecture, enabling it to process log data faster. Logstash, although also capable of handling large volumes of log data, may experience performance bottlenecks, especially when dealing with complex data transformations and heavy computational tasks.

  5. Community Support: Fluentd has a larger and more active community compared to Logstash. This means that there is a wider pool of resources, documentation, and community-driven plugins available for Fluentd, which can be beneficial for users seeking help or looking for specific features. Logstash, while still well-supported, may have a smaller community and a fewer number of available resources.

In summary, Fluentd provides an easier-to-use interface, better extensibility through plugins, superior scalability and performance, and a larger community support compared to Logstash.

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Pros of Fluentd
Pros of Logstash
  • 11
    Open-source
  • 9
    Great for Kubernetes node container log forwarding
  • 9
    Lightweight
  • 8
    Easy
  • 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 Fluentd
Cons of Logstash
    Be the first to leave a con
    • 4
      Memory-intensive
    • 1
      Documentation difficult to use

    Sign up to add or upvote consMake informed product decisions

    What is 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.

    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 Fluentd?
    What companies use Logstash?
    See which teams inside your own company are using Fluentd or Logstash.
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    What tools integrate with Fluentd?
    What tools integrate with Logstash?

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    Blog Posts

    May 21 2020 at 12:02AM

    Rancher Labs

    KubernetesAmazon EC2Grafana+12
    6
    1495
    May 21 2019 at 12:20AM

    Elastic

    ElasticsearchKibanaLogstash+4
    12
    5165
    GitHubPythonReact+42
    49
    40726
    GitHubMySQLSlack+44
    109
    50665
    What are some alternatives to Fluentd and Logstash?
    Splunk
    It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.
    collectd
    collectd gathers statistics about the system it is running on and stores this information. Those statistics can then be used to find current performance bottlenecks (i.e. performance analysis) and predict future system load (i.e. capacity planning). Or if you just want pretty graphs of your private server and are fed up with some homegrown solution you're at the right place, too.
    Filebeat
    It helps you keep the simple things simple by offering a lightweight way to forward and centralize logs and files.
    Elasticsearch
    Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack).
    Prometheus
    Prometheus is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true.
    See all alternatives