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  1. Stackups
  2. DevOps
  3. Log Management
  4. Log Management
  5. Filebeat vs Fluentd

Filebeat vs Fluentd

OverviewComparisonAlternatives

Overview

Fluentd
Fluentd
Stacks630
Followers688
Votes39
GitHub Stars13.4K
Forks1.4K
Filebeat
Filebeat
Stacks133
Followers252
Votes0

Filebeat vs Fluentd: What are the differences?

Filebeat and Fluentd are both popular log forwarders used for collecting, processing, and forwarding log data. While they serve a similar purpose, there are several key differences between the two.

  1. Data Collection: Filebeat is designed for lightweight log file shipping and is primarily focused on tailing and forwarding logs. It uses a lightweight harvester to read log files line by line and ships them directly to the desired destination. On the other hand, Fluentd is a unified logging layer that supports collecting data from various sources, including log files, metrics, and events. It provides more flexibility in data collection by offering plugins for various sources.

  2. Data Processing: Filebeat is primarily focused on log shipping and does not offer extensive data processing capabilities. It mainly parses and sends log lines as-is to the configured output. In contrast, Fluentd offers powerful data processing capabilities through its built-in filtering system. It allows for data transformation, filtering, and enrichment before forwarding it to the output destination.

  3. Supported Outputs: Filebeat has a limited set of output options and is mainly designed to ship logs to Elasticsearch, Logstash, or directly to a file. It does not support as many output options as Fluentd. Fluentd, on the other hand, offers a wide range of output options, including Elasticsearch, MongoDB, Apache Kafka, Amazon S3, and more. This makes it more versatile in terms of where the log data can be sent.

  4. Extensibility: Filebeat is highly extensible but only through the use of plugins. It offers a plugin framework that allows users to develop custom input, output, and processing plugins. However, Fluentd has a more extensive ecosystem of plugins and provides a large repository of plugins that can be easily integrated for various purposes, such as data collection, parsing, buffering, and more.

  5. Community and Support: Both Filebeat and Fluentd have active communities and good documentation. However, Fluentd's community is larger and more established, resulting in a wider range of community-contributed plugins and better community support. This can be beneficial when facing issues or needing assistance with specific use cases.

  6. Ease of Setup and Configuration: Filebeat is known for its simplicity and ease of setup. It comes with a simple configuration file that allows users to define input sources, processing options, and output destinations. Fluentd, on the other hand, has a more complex configuration system that requires more detailed configuration files. It may have a steeper learning curve for beginners.

In summary, while both Filebeat and Fluentd are useful log forwarders, Filebeat is more focused on lightweight log shipping with a simpler setup, while Fluentd offers more advanced data processing capabilities and a wider range of output options, making it suitable for more complex and versatile log management requirements.

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Detailed Comparison

Fluentd
Fluentd
Filebeat
Filebeat

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.

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

Open source; Flexible; Minimum resources; Reliable
-
Statistics
GitHub Stars
13.4K
GitHub Stars
-
GitHub Forks
1.4K
GitHub Forks
-
Stacks
630
Stacks
133
Followers
688
Followers
252
Votes
39
Votes
0
Pros & Cons
Pros
  • 11
    Open-source
  • 10
    Great for Kubernetes node container log forwarding
  • 9
    Easy
  • 9
    Lightweight
No community feedback yet
Integrations
No integrations available
Logstash
Logstash

What are some alternatives to Fluentd, Filebeat?

Papertrail

Papertrail

Papertrail helps detect, resolve, and avoid infrastructure problems using log messages. Papertrail's practicality comes from our own experience as sysadmins, developers, and entrepreneurs.

Logmatic

Logmatic

Get a clear overview of what is happening across your distributed environments, and spot the needle in the haystack in no time. Build dynamic analyses and identify improvements for your software, your user experience and your business.

Loggly

Loggly

It is a SaaS solution to manage your log data. There is nothing to install and updates are automatically applied to your Loggly subdomain.

Logentries

Logentries

Logentries makes machine-generated log data easily accessible to IT operations, development, and business analysis teams of all sizes. With the broadest platform support and an open API, Logentries brings the value of log-level data to any system, to any team member, and to a community of more than 25,000 worldwide users.

Logstash

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.

Graylog

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.

Sematext

Sematext

Sematext pulls together performance monitoring, logs, user experience and synthetic monitoring that tools organizations need to troubleshoot performance issues faster.

ELK

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.

Sumo Logic

Sumo Logic

Cloud-based machine data analytics platform that enables companies to proactively identify availability and performance issues in their infrastructure, improve their security posture and enhance application rollouts. Companies using Sumo Logic reduce their mean-time-to-resolution by 50% and can save hundreds of thousands of dollars, annually. Customers include Netflix, Medallia, Orange, and GoGo Inflight.

Splunk

Splunk

It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.

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