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  1. Stackups
  2. DevOps
  3. Log Management
  4. Log Management
  5. Graylog vs LogTrail

Graylog vs LogTrail

OverviewComparisonAlternatives

Overview

Graylog
Graylog
Stacks595
Followers711
Votes70
GitHub Stars7.9K
Forks1.1K
LogTrail
LogTrail
Stacks7
Followers26
Votes0
GitHub Stars1.4K
Forks179

Graylog vs LogTrail: What are the differences?

**Introduction:**
Graylog and LogTrail are two popular log management tools that offer powerful features for analyzing and monitoring log data.

**1. Logging Sources:**
Graylog is designed to collect and centralize log data from various sources such as servers, applications, and network devices. LogTrail, on the other hand, focuses specifically on visualizing logs from Elasticsearch.

**2. User Interface:**
Graylog provides a comprehensive web interface with dashboards, search capabilities, and alert notifications. LogTrail offers a simple and intuitive interface for viewing logs in real-time within Kibana.

**3. Search and Filtering Capabilities:**
Graylog offers advanced search and filtering capabilities, including full-text search, field-based filtering, and custom alerting based on specific conditions. LogTrail provides basic search and filtering functionalities within Kibana itself.

**4. Alerting and Notifications:**
Graylog allows users to create customized alerts based on log data patterns, thresholds, or specific events. LogTrail does not include built-in alerting and notification features.

**5. Scalability and Architecture:**
Graylog is highly scalable and can handle large volumes of log data with distributed architecture support. LogTrail's architecture is more focused on integrating with the Elasticsearch ecosystem for log visualization and analysis.

**6. Community and Support:**
Graylog has a larger and more active community that provides extensive documentation, plugins, and user support. LogTrail has a smaller community but still offers helpful resources for troubleshooting and integration.

In Summary, Graylog and LogTrail differ in their logging sources, user interfaces, search capabilities, alerting features, scalability, and community support.

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Detailed Comparison

Graylog
Graylog
LogTrail
LogTrail

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.

LogTrail is a plugin for Kibana to view, analyze, search and tail log events from multiple hosts in realtime with devops friendly interface inspired by Papertrail.

-
View, analyze and search log events from a centralized interface;Clean & simple devops friendly interface;Live tail;Filter aggregated logs by hosts and program;Quickly seek to logs based on time
Statistics
GitHub Stars
7.9K
GitHub Stars
1.4K
GitHub Forks
1.1K
GitHub Forks
179
Stacks
595
Stacks
7
Followers
711
Followers
26
Votes
70
Votes
0
Pros & Cons
Pros
  • 19
    Open source
  • 13
    Powerfull
  • 8
    Well documented
  • 6
    Alerts
  • 5
    User authentification
Cons
  • 1
    Does not handle frozen indices at all
No community feedback yet
Integrations
GitHub
GitHub
Kibana
Kibana

What are some alternatives to Graylog, LogTrail?

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.

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