StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. DevOps
  3. Log Management
  4. Log Management
  5. Graylog vs Logback

Graylog vs Logback

OverviewComparisonAlternatives

Overview

Logback
Logback
Stacks5.6K
Followers76
Votes0
Graylog
Graylog
Stacks595
Followers711
Votes70
GitHub Stars7.9K
Forks1.1K

Graylog vs Logback: What are the differences?

## Key Differences between Graylog and Logback

Graylog and Logback are commonly used logging frameworks, but they serve different purposes and have distinct characteristics.

1. **Log Level Control**: Graylog allows for detailed log level control, enabling users to set different log levels for various components. In contrast, Logback provides basic log level settings but lacks the granularity that Graylog offers.
2. **Real-time Monitoring**: Graylog excels at real-time monitoring and analysis of logs, providing live updates and alerts. Logback, on the other hand, focuses more on efficient logging and error handling without real-time monitoring capabilities.
3. **Scalability**: Graylog is designed to be highly scalable, supporting distributed architectures and large volumes of log data. Logback, while efficient, may encounter performance issues when handling extensive log streams or when scaled up to enterprise levels.
4. **Search and Query Capabilities**: Graylog offers robust search and query capabilities, allowing users to easily filter and analyze log data. Logback, being a foundational logging framework, lacks the advanced search functionalities provided by Graylog.
5. **Integration with Alerting Systems**: Graylog comes with built-in alerting mechanisms that can trigger notifications based on predefined conditions detected in logs. Logback, primarily focused on logging, lacks native integrations for alerting systems, requiring additional setup and configuration.
6. **User Interface**: Graylog provides a user-friendly web interface for log management, visualization, and analysis. In contrast, Logback, being a library for logging within Java applications, does not offer a dedicated user interface for log management.

In Summary, Graylog is a comprehensive log management solution with advanced features for real-time monitoring, scalability, search, and alerting, while Logback is a powerful logging framework focused on efficient logging within Java applications with basic log level control.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Detailed Comparison

Logback
Logback
Graylog
Graylog

It is intended as a successor to the popular log4j project. It is divided into three modules, logback-core, logback-classic and logback-access. The logback-core module lays the groundwork for the other two modules, logback-classic natively implements the SLF4J API so that you can readily switch back and forth between logback and other logging frameworks and logback-access module integrates with Servlet containers, such as Tomcat and Jetty, to provide HTTP-access log functionality.

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.

Statistics
GitHub Stars
-
GitHub Stars
7.9K
GitHub Forks
-
GitHub Forks
1.1K
Stacks
5.6K
Stacks
595
Followers
76
Followers
711
Votes
0
Votes
70
Pros & Cons
No community feedback yet
Pros
  • 19
    Open source
  • 13
    Powerfull
  • 8
    Well documented
  • 6
    Alerts
  • 5
    User authentification
Cons
  • 1
    Does not handle frozen indices at all
Integrations
No integrations available
GitHub
GitHub

What are some alternatives to Logback, Graylog?

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.

Sematext

Sematext

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

Fluentd

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.

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.

Related Comparisons

GitHub
Bitbucket

Bitbucket vs GitHub vs GitLab

GitHub
Bitbucket

AWS CodeCommit vs Bitbucket vs GitHub

Kubernetes
Rancher

Docker Swarm vs Kubernetes vs Rancher

gulp
Grunt

Grunt vs Webpack vs gulp

Graphite
Kibana

Grafana vs Graphite vs Kibana