Loki vs SwiftyBeaver

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Loki

408
275
+ 1
16
SwiftyBeaver

8
17
+ 1
0
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Loki vs SwiftyBeaver: What are the differences?

Loki: Like Prometheus, but for logs (by the makers of Grafana). Loki is a horizontally-scalable, highly-available, multi-tenant log aggregation system inspired by Prometheus. It is designed to be very cost effective and easy to operate, as it does not index the contents of the logs, but rather a set of labels for each log stream; SwiftyBeaver: The World’s First Logging Platform for Swift. It is Swift-based logging framework for iOS and macOS. It has different types of log messages where also we can filter logs to make bug checking even easier and has a free license plan.

Loki and SwiftyBeaver can be categorized as "Logging" tools.

Loki is an open source tool with 6.84K GitHub stars and 412 GitHub forks. Here's a link to Loki's open source repository on GitHub.

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Pros of Loki
Pros of SwiftyBeaver
  • 5
    Opensource
  • 3
    Near real-time search
  • 2
    REST Api
  • 2
    Very fast ingestion
  • 2
    Low resource footprint
  • 1
    Smart way of tagging
  • 1
    Perfect fit for k8s
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    - No public GitHub repository available -

    What is Loki?

    Loki is a horizontally-scalable, highly-available, multi-tenant log aggregation system inspired by Prometheus. It is designed to be very cost effective and easy to operate, as it does not index the contents of the logs, but rather a set of labels for each log stream.

    What is SwiftyBeaver?

    It is Swift-based logging framework for iOS and macOS. It has different types of log messages where also we can filter logs to make bug checking even easier and has a free license plan.

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    What companies use Loki?
    What companies use SwiftyBeaver?
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    What tools integrate with Loki?
    What tools integrate with SwiftyBeaver?

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    What are some alternatives to Loki and SwiftyBeaver?
    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.
    Prometheus
    Prometheus is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true.
    Log4j
    It is an open source logging framework. With this tool – logging behavior can be controlled by editing a configuration file only without touching the application binary and can be used to store the Selenium Automation flow logs.
    Castle Core
    It provides common Castle Project abstractions including logging services. It also features Castle DynamicProxy a lightweight runtime proxy generator, and Castle DictionaryAdapter.
    See all alternatives