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  1. Stackups
  2. DevOps
  3. Log Management
  4. Logging Tools
  5. Graylog vs Seq

Graylog vs Seq

OverviewComparisonAlternatives

Overview

Seq
Seq
Stacks134
Followers140
Votes26
Graylog
Graylog
Stacks595
Followers711
Votes70
GitHub Stars7.9K
Forks1.1K

Graylog vs Seq: What are the differences?

Introduction:

Graylog and Seq are both log management tools that help collect, monitor, and analyze log data in real-time. While they serve similar purposes, there are key differences between these two tools that set them apart.

  1. Data Storage: One of the key differences between Graylog and Seq is the way they handle data storage. Graylog uses Elasticsearch as its default data store, which allows for high scalability and performance. On the other hand, Seq stores log data in structured text files and uses column-based indexing, resulting in fast searches and minimal storage requirements.

  2. Querying and Filtering Capabilities: Graylog offers a powerful search and filter functionality, allowing users to search for specific logs based on various parameters like time range, source, severity, or custom fields. It supports complex queries and provides advanced filtering options. In contrast, Seq focuses more on structured logging and provides a simpler query and filter interface, focusing on events and properties rather than complex queries.

  3. Alerting and Notifications: Graylog provides robust alerting capabilities, allowing users to set up rules and conditions to trigger notifications based on log message content, severity, or other criteria. It provides multiple notification options such as email, Slack, or custom webhooks. On the other hand, Seq focuses more on providing a centralized view of log data and does not have built-in alerting functionality. However, it integrates well with existing monitoring and notification systems.

  4. Log Enrichment and Pipelines: Graylog offers log enrichment capabilities by allowing users to enrich log data with additional contextual information from external sources such as databases or APIs. It also supports pipelines, which enable users to extract, transform, and manipulate log data before storing or forwarding it. Seq, on the other hand, does not provide built-in log enrichment or pipeline functionality.

  5. User Interface and Visualization: Graylog provides a web-based user interface that offers a comprehensive view of log data with extensive visualization options such as dashboards, charts, and graphs. It allows users to create custom visualizations and provides a flexible and intuitive interface for log analysis. Seq, on the other hand, focuses more on providing a streamlined and minimalistic user interface with a focus on log exploration and analysis.

  6. Community and Open Source: Graylog is open source, which means it is actively developed by a community of contributors and has a large user base. It benefits from community-driven improvements and has an active community forum for support and discussions. Seq, on the other hand, is a commercial product with a smaller user base and relies on its own development team for updates and support.

In summary, Graylog provides a scalable and feature-rich log management solution with advanced querying, alerting, and visualization capabilities. It offers log enrichment and pipeline functionality, making it suitable for complex log analysis workflows. On the other hand, Seq focuses on structured logging with a simplified querying interface and a minimalistic user interface. It integrates well with existing monitoring and notification systems but does not provide built-in log enrichment or pipeline features.

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Detailed Comparison

Seq
Seq
Graylog
Graylog

Seq is a self-hosted server for structured log search, analysis, and alerting. It can be hosted on Windows or Linux/Docker, and has integrations for most popular structured logging libraries.

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.

log search; alerting; dashboarding; charting
-
Statistics
GitHub Stars
-
GitHub Stars
7.9K
GitHub Forks
-
GitHub Forks
1.1K
Stacks
134
Stacks
595
Followers
140
Followers
711
Votes
26
Votes
70
Pros & Cons
Pros
  • 6
    Easy to use
  • 6
    Easy to install and configure
  • 4
    Flexible query language
  • 3
    Extensive plug-ins and integrations
  • 3
    Free unlimited one-person version
Cons
  • 1
    This is a library tied to seq log storage
  • 1
    It is not free
Pros
  • 19
    Open source
  • 13
    Powerfull
  • 8
    Well documented
  • 6
    Alerts
  • 5
    User authentification
Cons
  • 1
    Does not handle frozen indices at all
Integrations
.NET
.NET
Python
Python
Node.js
Node.js
Microsoft Teams
Microsoft Teams
ASP.NET Core
ASP.NET Core
Ruby
Ruby
Java
Java
Slack
Slack
ASP.NET
ASP.NET
Serilog
Serilog
GitHub
GitHub

What are some alternatives to Seq, 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.

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