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

Fluentd vs Splunk

OverviewComparisonAlternatives

Overview

Splunk
Splunk
Stacks772
Followers1.0K
Votes20
Fluentd
Fluentd
Stacks630
Followers688
Votes39
GitHub Stars13.4K
Forks1.4K

Fluentd vs Splunk: What are the differences?

Key Differences between Fluentd and Splunk

Note: Fluentd is an open-source log collector whereas Splunk is a commercial log management and analysis tool.

  1. Architecture: Fluentd follows a lightweight and scalable architecture, making it suitable for large-scale deployments. It uses a decentralized log collection approach with a flexible plugin system. On the other hand, Splunk has a centralized architecture, where logs are forwarded to a central indexer for processing and analysis. This centralized approach offers better control and search capabilities but can be less scalable for large deployments.

  2. Licensing: Fluentd is released under the Apache License 2.0, which allows users to freely use, modify, and distribute the software. In contrast, Splunk requires a commercial license for its enterprise-grade features, limiting its availability and customization options for users.

  3. Cost: Due to its open-source nature, Fluentd is free to use, reducing the cost of log collection and analysis for organizations. Splunk, being a commercial tool, has licensing costs associated with its usage. These costs can be significant, especially for larger organizations with extensive log volumes.

  4. Extensibility and Customization: Fluentd provides a plugin ecosystem that allows users to extend its functionality by adding custom input/output plugins, parsers, and filters. This extensibility enables integration with various data sources, formats, and storage solutions. In contrast, Splunk offers a flexible search language and provides a variety of pre-built apps and add-ons, making it relatively easier to customize and integrate with other tools.

  5. Community Support: Fluentd benefits from a vibrant open-source community, where users actively contribute plugins, improvements, and share their experiences. This active community support ensures a wider range of plugins available for ingestion, processing, and output handling. Although Splunk has a supportive community, its closed nature limits the availability of community-driven plugins and enhancements.

  6. Scalability and Performance: Fluentd's architecture allows it to handle high log volumes efficiently, ensuring scalability and good performance. It achieves this by leveraging a distributed log collection approach and lightweight processing. Splunk, on the other hand, is known for its powerful indexing and searching capabilities, but it may face challenges in handling extremely high log volumes efficiently without proper hardware scaling.

In summary, Fluentd offers a lightweight, scalable, and extensible open-source solution for log collection and analysis, while Splunk provides a centralized, feature-rich, and commercially licensed log management tool with enhanced search and analysis capabilities.

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Detailed Comparison

Splunk
Splunk
Fluentd
Fluentd

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

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.

Predict and prevent problems with one unified monitoring experience; Streamline your entire security stack with Splunk as the nerve center; Detect, investigate and diagnose problems easily with end-to-end observability
Open source; Flexible; Minimum resources; Reliable
Statistics
GitHub Stars
-
GitHub Stars
13.4K
GitHub Forks
-
GitHub Forks
1.4K
Stacks
772
Stacks
630
Followers
1.0K
Followers
688
Votes
20
Votes
39
Pros & Cons
Pros
  • 3
    Alert system based on custom query results
  • 3
    API for searching logs, running reports
  • 2
    Ability to style search results into reports
  • 2
    Query engine supports joining, aggregation, stats, etc
  • 2
    Splunk language supports string, date manip, math, etc
Cons
  • 1
    Splunk query language rich so lots to learn
Pros
  • 11
    Open-source
  • 10
    Great for Kubernetes node container log forwarding
  • 9
    Lightweight
  • 9
    Easy

What are some alternatives to Splunk, Fluentd?

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.

Apache Spark

Apache Spark

Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.

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.

Presto

Presto

Distributed SQL Query Engine for Big Data

Amazon Athena

Amazon Athena

Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.

Sematext

Sematext

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

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