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CHAOSSEARCH vs Papertrail

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CHAOSSEARCH
6
17
+ 1
10
Papertrail
607
379
+ 1
273
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Papertrail vs CHAOSSEARCH: What are the differences?

Papertrail: Hosted log management for servers, apps, and cloud services. Papertrail helps detect, resolve, and avoid infrastructure problems using log messages. Papertrail's practicality comes from our own experience as sysadmins, developers, and entrepreneurs; CHAOSSEARCH: A cloud-native search analytics platform on object storage. It is a cloud-native search analytics platform on object storage. It uniquely decouples storage from compute (zero local storage) and gives you an entirely new way to store, index, and execute your queries at any scale - from terabytes to petabytes and beyond!

We enable you to streamline and automate your data management process within your own S3 account — no data movement, transformation, or schema definition.

Papertrail and CHAOSSEARCH can be categorized as "Log Management" tools.

Some of the features offered by Papertrail are:

  • Intuitive Web-based log viewer
  • Powerful command-line tools
  • Long-term archive (S3)

On the other hand, CHAOSSEARCH provides the following key features:

  • Amazon S3 and Elasticsearch API support
  • Fully integrated Kibana visualization with enhancements
  • Backed by Amazon S3 — never move your data
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Pros of CHAOSSEARCH
Pros of Papertrail
  • 1
    Schema on read
  • 1
    Great service
  • 1
    Centralized data
  • 1
    Reliability
  • 1
    Scalability
  • 1
    Kibana front end
  • 1
    Search s3
  • 1
    Compressed index size
  • 1
    Lower cost then elasticsearch
  • 1
    Managed service
  • 85
    Log search
  • 43
    Easy log aggregation across multiple machines
  • 43
    Integrates with Heroku
  • 37
    Simple interface
  • 26
    Backup to S3
  • 19
    Easy setup, independent of existing logging setup
  • 15
    Heroku add-on
  • 3
    Command line interface
  • 1
    Alerting
  • 1
    Good for Startups

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Cons of CHAOSSEARCH
Cons of Papertrail
    Be the first to leave a con
    • 2
      Expensive
    • 1
      External Network Goes Down You Wont Be Logging

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    No Stats

    What is CHAOSSEARCH?

    ChaosSearch's Chaos LakeDB helps organizations make better use of their log and event data. The cloud data platform enables users to search, analyze, and visualize application telemetry data stored in Amazon S3 or Google Cloud Platform.

    What is 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.

    Need advice about which tool to choose?Ask the StackShare community!

    What companies use CHAOSSEARCH?
    What companies use Papertrail?
      No companies found
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      What tools integrate with CHAOSSEARCH?
      What tools integrate with Papertrail?

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      What are some alternatives to CHAOSSEARCH and Papertrail?
      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).
      Splunk
      It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.
      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.
      SLF4J
      It is a simple Logging Facade for Java (SLF4J) serves as a simple facade or abstraction for various logging frameworks allowing the end user to plug in the desired logging framework at deployment time.
      Logback
      It is intended as a successor to the popular log4j project. It is divided into three modules, logback-core, logback-classic and logback-access. The logback-core module lays the groundwork for the other two modules, logback-classic natively implements the SLF4J API so that you can readily switch back and forth between logback and other logging frameworks and logback-access module integrates with Servlet containers, such as Tomcat and Jetty, to provide HTTP-access log functionality.
      See all alternatives

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