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Seq vs Willow: What are the differences?
Seq: A log server that runs on a central machine. It is the easiest way to collect, search, analyze and alert on structured log data. Structured logging preserves the individual property values, as well as the text, associated with each event; Willow: A powerful, yet lightweight logging library written in Swift, by Nike. Willow is a powerful, yet lightweight logging library written in Swift.
Seq and Willow can be primarily classified as "Logging" tools.
Willow is an open source tool with 1.14K GitHub stars and 62 GitHub forks. Here's a link to Willow's open source repository on GitHub.
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Learn MorePros of Seq
Pros of Willow Logging
Pros of Seq
- Easy to use6
- Easy to install and configure6
- Flexible query language4
- Free unlimited one-person version3
- Extensive plug-ins and integrations3
- Beautiful charts and dashboards3
- Support1
Pros of Willow Logging
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Cons of Seq
Cons of Willow Logging
Cons of Seq
- This is a library tied to seq log storage1
- It is not free1
Cons of Willow Logging
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- No public GitHub repository available -
What is Seq?
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.
What is Willow Logging?
Willow is a powerful, yet lightweight logging library written in Swift.
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What companies use Seq?
What companies use Willow Logging?
What companies use Seq?
What companies use Willow Logging?
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What tools integrate with Seq?
What tools integrate with Willow Logging?
What tools integrate with Willow Logging?
No integrations found
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What are some alternatives to Seq and Willow Logging?
Splunk
It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.
Elasticsearch
Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack).
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.
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.
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.