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Fluentd VS FileBeat

Compare Fluentd VS FileBeat and see what are their differences

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Fluentd logo Fluentd

Fluentd is a cross platform open source data collection solution originally developed at Treasure Data.

FileBeat logo FileBeat

FileBeat is an online lightweight shipper log providing software that allows enterprises to manage files and documents handsomely.
  • Fluentd Landing page
    Landing page //
    2018-09-30
  • FileBeat Landing page
    Landing page //
    2023-09-12

Fluentd features and specs

  • Open Source
    Fluentd is an open-source data collector, meaning it is free to use and has a large community of contributors and users who can provide support and plugins.
  • Unified Logging Layer
    It provides a unified logging layer that can collect, filter, and distribute logs from various sources to various destinations, simplifying log management.
  • Extensibility
    Fluentd supports a wide range of plugins for inputs, outputs, filters, and parsers, making it highly extensible and customizable to fit specific needs.
  • High Performance
    It is designed to be high-performance and can handle large volumes of logs efficiently, which is crucial for enterprise environments.
  • Flexible Configuration
    Fluentd offers flexible and straightforward configuration, allowing users to define complex data pipelines with relative ease.
  • Support for Multiple Environments
    Fluentd supports cloud, on-premises, and hybrid environments, making it versatile for various deployment scenarios.

Possible disadvantages of Fluentd

  • Complexity
    The flexibility and extensibility of Fluentd can introduce complexity, requiring a steep learning curve for new users to master the tool.
  • Resource Intensive
    Fluentd can be resource-intensive, especially when dealing with large volumes of data, which may require robust infrastructure.
  • Plugin Compatibility
    While there are many plugins available, not all of them are always up-to-date or compatible with the latest versions of Fluentd, potentially causing integration issues.
  • Maintenance Overhead
    Managing Fluentd involves continuous monitoring, updating, and maintenance to ensure optimal performance and security, which could be resource-draining.
  • Documentation Gaps
    Although there is extensive documentation, some users report that it lacks deep insights and examples for advanced configurations, requiring additional research and community support.

FileBeat features and specs

  • Lightweight
    FileBeat is a lightweight, resource-efficient log shipper designed to consume minimal system resources, making it ideal for deployment on various types of systems without causing significant performance overhead.
  • Easy to Configure
    FileBeat offers a straightforward configuration process and requires minimal setup, allowing users to quickly deploy and start collecting logs with reduced configuration complexity.
  • Integrations with Elastic Stack
    Seamlessly integrates with the Elastic Stack (Elasticsearch, Logstash, and Kibana), ensuring smooth operation within the ecosystem and enabling straightforward log handling, storage, and visualization.
  • Modular Architecture
    FileBeat offers modules tailored for specific log types and systems, providing pre-configured sets for common log sources which simplify log collection and parsing.
  • Reliability
    Built with resilience in mind, FileBeat ensures that logs are reliably forwarded to specified destinations through mechanisms such as data buffering and backpressure handling.

Possible disadvantages of FileBeat

  • Limited Processing
    FileBeat is primarily designed as a log shipper, with limited ability for complex data transformations or enrichment, often necessitating the use of Logstash or additional processing tools for advanced data manipulation.
  • Resource Constraints
    While lightweight, FileBeat's efficiency can be challenged by very large volumes of data or limited system resources, potentially requiring careful management to ensure optimal performance.
  • Learning Curve
    Although generally easy to set up, users unfamiliar with file-based logging and the Elastic Stack ecosystem might face a learning curve when trying to leverage the full capabilities of FileBeat.
  • Dependencies on Elastic Stack
    For maximum utility, FileBeat is often used in conjunction with other Elastic Stack components, which might be a drawback for users not looking to use or manage the complete stack.

Fluentd videos

How-to Ship Logs to Grafana Loki with Promtail, FluentD & Fluent-bit

More videos:

  • Review - OpenShift Commons Briefing #72: Cloud Native Logging with Fluentd
  • Review - Fluentd, the Open Source Data Collection tool

FileBeat videos

ELK Stack - MySQL Logs Analysis using Filebeat-MySQL Module

Category Popularity

0-100% (relative to Fluentd and FileBeat)
Monitoring Tools
100 100%
0% 0
ERP
0 0%
100% 100
Log Management
100 100%
0% 0
Office & Productivity
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Fluentd and FileBeat

Fluentd Reviews

11 Best Splunk Alternatives
The CloudFront-log plugin, for example, can be used to ingest logs from Amazon CloudFront, while the elasticsearch plugin can be used to route logs to Elasticsearch. Fluentd only provides ingestion and routing services, so you'll have to develop your log management solution from the ground up. Fluentd has become a popular alternative to Logstash, transforming ELK into EFK....
Top 15 Kafka Alternatives Popular In 2021
Inputs and outputs have inbuilt support to buffer, load balance, timeout and retry instances. It has a unified logging layer in between the data sources. There are over 5000+ companies that rely on Fluentd and approximately collect logs from over 50000+ servers. It scraps logs from sources and sends them across to services like object storage, Elasticsearch, etc. it is...
Best Log Management Tools: Useful Tools for Log Management, Monitoring, Analytics, and More
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. Fluentd’s flagship feature is an extensive library of plugins which provide extended support and functionality for anything related to log and data management within a concise developer environment.
Source: stackify.com

FileBeat Reviews

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