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Seq

43
66
+ 1
13
Zap

9
28
+ 1
0
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Seq vs Zap: What are the differences?

What is 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.

What is Zap? Blazing fast, structured, leveled logging in Go (by Uber). Zap takes a different approach. It includes a reflection-free, zero-allocation JSON encoder, and the base Logger strives to avoid serialization overhead and allocations wherever possible. By building the high-level SugaredLogger on that foundation, zap lets users choose when they need to count every allocation and when they'd prefer a more familiar, loosely typed API.

Seq and Zap belong to "Logging Tools" category of the tech stack.

Zap is an open source tool with 7.43K GitHub stars and 569 GitHub forks. Here's a link to Zap's open source repository on GitHub.

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Pros of Seq
Pros of Zap
  • 3
    Easy to use
  • 2
    Easy to install and configure
  • 2
    Flexible query language
  • 2
    Free unlimited one-person version
  • 2
    Beautiful charts and dashboards
  • 2
    Extensive plug-ins and integrations
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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 Zap?

    Zap takes a different approach. It includes a reflection-free, zero-allocation JSON encoder, and the base Logger strives to avoid serialization overhead and allocations wherever possible. By building the high-level SugaredLogger on that foundation, zap lets users choose when they need to count every allocation and when they'd prefer a more familiar, loosely typed API.

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    What companies use Seq?
    What companies use Zap?
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    What tools integrate with Seq?
    What tools integrate with Zap?

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    What are some alternatives to Seq and Zap?
    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.
    See all alternatives