Logentries vs Loggly vs Logstash

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

Logentries

285
174
+ 1
105
Loggly

274
302
+ 1
168
Logstash

11.2K
8.6K
+ 1
103
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Pros of Logentries
Pros of Loggly
Pros of Logstash
  • 34
    Log search
  • 27
    Live logs
  • 19
    Easy setup
  • 14
    Heroku Add-on
  • 5
    Backup to S3
  • 2
    Easy setup, independent of existing logging setup
  • 2
    Free
  • 2
    Search/query with regex
  • 0
    E
  • 37
    Centralized log management
  • 25
    Easy to setup
  • 21
    Great filtering
  • 16
    Live logging
  • 15
    Json log support
  • 10
    Log Management
  • 10
    Alerting
  • 7
    Great Dashboards
  • 7
    Love the product
  • 4
    Heroku Add-on
  • 2
    Easy to setup and use
  • 2
    Easy setup
  • 2
    No alerts in free plan
  • 2
    Great UI
  • 2
    Good parsing
  • 2
    Powerful
  • 2
    Fast search
  • 2
    Backup to S3
  • 69
    Free
  • 18
    Easy but powerful filtering
  • 12
    Scalable
  • 2
    Kibana provides machine learning based analytics to log
  • 1
    Great to meet GDPR goals
  • 1
    Well Documented

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Cons of Logentries
Cons of Loggly
Cons of Logstash
    Be the first to leave a con
    • 3
      Pricey after free plan
    • 4
      Memory-intensive
    • 1
      Documentation difficult to use

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    - No public GitHub repository available -
    - No public GitHub repository available -

    What is 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.

    What is 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.

    What is 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.

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    What companies use Logentries?
    What companies use Loggly?
    What companies use Logstash?

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    What tools integrate with Logentries?
    What tools integrate with Loggly?
    What tools integrate with Logstash?

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    Blog Posts

    May 21 2019 at 12:20AM

    Elastic

    ElasticsearchKibanaLogstash+4
    12
    5163
    GitHubPythonReact+42
    49
    40721
    JavaScriptGitHubGit+33
    20
    2084
    Jun 19 2015 at 6:37AM

    ReadMe.io

    JavaScriptGitHubNode.js+25
    12
    2356
    What are some alternatives to Logentries, Loggly, and Logstash?
    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.
    Splunk
    It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.
    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.
    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.
    See all alternatives