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  1. Stackups
  2. DevOps
  3. Log Management
  4. Log Management
  5. Fluentd vs Logstash vs Sumo Logic

Fluentd vs Logstash vs Sumo Logic

OverviewComparisonAlternatives

Overview

Sumo Logic
Sumo Logic
Stacks192
Followers282
Votes21
Logstash
Logstash
Stacks12.3K
Followers8.8K
Votes103
GitHub Stars14.7K
Forks3.5K
Fluentd
Fluentd
Stacks630
Followers688
Votes39
GitHub Stars13.4K
Forks1.4K

Fluentd vs Logstash vs Sumo Logic: What are the differences?

Introduction

When it comes to log management and analysis in the world of DevOps, three popular tools stand out: Fluentd, Logstash, and Sumo Logic. Each tool has its strengths and differences that make them suitable for various use cases. In this comparison, we will highlight the key differences between Fluentd, Logstash, and Sumo Logic to help you choose the right tool for your logging needs.

  1. Data Collection Process: Fluentd uses a tag-based routing mechanism to collect, filter, and forward log data efficiently. Logstash, on the other hand, employs a pipeline-based configuration where inputs, filters, and outputs are defined sequentially. Sumo Logic offers a cloud-native approach with real-time log ingestion and analytics, eliminating the need for managing infrastructure.

  2. Configuration Complexity: Fluentd is known for its simple and easy-to-understand configuration format, making it user-friendly for beginners. Logstash, while powerful, can be more complex due to its pipeline configuration and domain-specific language (DSL). Sumo Logic provides a fully managed service, reducing the burden of configuration and maintenance for users.

  3. Integration Ecosystem: Fluentd has a wide range of plugins and integrations available, making it versatile and adaptable to different environments. Logstash also offers a variety of plugins but may require more customization for specific use cases. Sumo Logic integrates seamlessly with cloud platforms and services, providing a unified view of logs across different applications.

  4. Scalability and Performance: Fluentd is lightweight and designed for high-performance log collection, making it suitable for large-scale deployments. Logstash can be resource-intensive, especially in complex processing pipelines, which may impact its scalability. Sumo Logic offers auto-scaling capabilities and distributed architecture for handling massive amounts of log data effectively.

  5. Monitoring and Alerting: Fluentd has basic monitoring capabilities but may require additional tools for advanced monitoring and alerting functionalities. Logstash offers monitoring features through its Monitoring API and third-party plugins for alerting. Sumo Logic includes built-in monitoring and alerting features, allowing users to track log data in real-time and set up alerts for critical events.

  6. Cost and Licensing: Fluentd is open-source and free to use, making it a cost-effective option for organizations looking to manage logs at scale. Logstash is part of the Elastic Stack, which is open-source with additional features available in the commercial version. Sumo Logic operates on a subscription-based pricing model, offering different tiers based on usage and features required.

In Summary, the key differences between Fluentd, Logstash, and Sumo Logic lie in their data collection process, configuration complexity, integration ecosystem, scalability and performance, monitoring and alerting capabilities, and cost and licensing models. Each tool has its strengths and weaknesses, catering to different needs within the log management space.

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Detailed Comparison

Sumo Logic
Sumo Logic
Logstash
Logstash
Fluentd
Fluentd

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.

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.

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.

Ability to collect data from on-premise sources, private/public/hybrid clouds, and SaaS/PaaS environments;Real-time continuous query engine that constantly updates dashboards and reports for immediate visualization;Anomaly detection engine that enables companies to proactively uncover events without writing rules;LogReduce, our pattern-recognition engine, that distills tens/hundreds of thousands of log messages into a set of patterns for easier issue identification and resolution;The ability to support data bursts on-demand with our elastic log processing architecture;Real-time alerts and notifications
Centralize data processing of all types;Normalize varying schema and formats;Quickly extend to custom log formats;Easily add plugins for custom data source
Open source; Flexible; Minimum resources; Reliable
Statistics
GitHub Stars
-
GitHub Stars
14.7K
GitHub Stars
13.4K
GitHub Forks
-
GitHub Forks
3.5K
GitHub Forks
1.4K
Stacks
192
Stacks
12.3K
Stacks
630
Followers
282
Followers
8.8K
Followers
688
Votes
21
Votes
103
Votes
39
Pros & Cons
Pros
  • 11
    Search capabilities
  • 5
    Live event streaming
  • 3
    Pci 3.0 compliant
  • 2
    Easy to setup
Cons
  • 2
    Expensive
  • 1
    Missing Monitoring
  • 1
    Occasionally unreliable log ingestion
Pros
  • 69
    Free
  • 18
    Easy but powerful filtering
  • 12
    Scalable
  • 2
    Kibana provides machine learning based analytics to log
  • 1
    Well Documented
Cons
  • 4
    Memory-intensive
  • 1
    Documentation difficult to use
Pros
  • 11
    Open-source
  • 10
    Great for Kubernetes node container log forwarding
  • 9
    Easy
  • 9
    Lightweight
Integrations
Amazon CloudFront
Amazon CloudFront
Amazon S3
Amazon S3
Akamai
Akamai
AWS CloudTrail
AWS CloudTrail
Kibana
Kibana
Elasticsearch
Elasticsearch
Beats
Beats
No integrations available

What are some alternatives to Sumo Logic, Logstash, 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.

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.

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.

Splunk

Splunk

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

LogDNA

LogDNA

The easiest log management system you will ever use! LogDNA is a cloud-based log management system that allows engineering and devops to aggregate all system and application logs into one efficient platform. Save, store, tail and search app

AWS CloudTrail

AWS CloudTrail

With CloudTrail, you can get a history of AWS API calls for your account, including API calls made via the AWS Management Console, AWS SDKs, command line tools, and higher-level AWS services (such as AWS CloudFormation). The AWS API call history produced by CloudTrail enables security analysis, resource change tracking, and compliance auditing. The recorded information includes the identity of the API caller, the time of the API call, the source IP address of the API caller, the request parameters, and the response elements returned by the AWS service.

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