Logentries vs Logstash

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Logentries

286
160
+ 1
105
Logstash

7.9K
6K
+ 1
102
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Logentries vs Logstash: What are the differences?

Developers describe Logentries as "Real-time log management and analytics built for the cloud". 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. On the other hand, Logstash is detailed as "Collect, Parse, & Enrich Data". 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.

Logentries and Logstash belong to "Log Management" category of the tech stack.

Some of the features offered by Logentries are:

  • Logs as Metrics - Extract field level values, analyze them using powerful search functions, and visualize them with detailed dashboards.
  • Dynamic Log Correlation - Dynamically group and correlate your logs in a single dashboard, or aggregate logs from a particular system to give an end-to-end view.
  • Live Tail - View your streaming logs in real-time and highlight important events to easily see errors or exceptions in your live data.

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

  • Centralize data processing of all types
  • Normalize varying schema and formats
  • Quickly extend to custom log formats

"Log search" is the primary reason why developers consider Logentries over the competitors, whereas "Free" was stated as the key factor in picking Logstash.

Logstash is an open source tool with 10.3K GitHub stars and 2.78K GitHub forks. Here's a link to Logstash's open source repository on GitHub.

Airbnb, reddit, and Bitbucket are some of the popular companies that use Logstash, whereas Logentries is used by Code School, Third Iron, and Movielala. Logstash has a broader approval, being mentioned in 561 company stacks & 278 developers stacks; compared to Logentries, which is listed in 136 company stacks and 18 developer stacks.

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Pros of Logentries
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
  • 67
    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 Logstash
    Be the first to leave a con
    • 3
      Memory-intensive
    • 1
      Documentation difficult to use

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    - 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 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.

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

    What companies use Logentries?
    What companies use Logstash?
    See which teams inside your own company are using Logentries or Logstash.
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    What tools integrate with Logentries?
    What tools integrate with Logstash?

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    Blog Posts

    May 21 2019 at 12:20AM

    Elastic

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    Jun 19 2015 at 6:37AM

    ReadMe.io

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    What are some alternatives to Logentries and Logstash?
    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.
    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.
    See all alternatives