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ELK

734
776
+ 1
20
Logentries

285
168
+ 1
105
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ELK vs Logentries: What are the differences?

Developers describe ELK as "The acronym for three open source projects: Elasticsearch, Logstash, and Kibana". 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. On the other hand, Logentries is detailed 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.

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

PedidosYa, Accenture, and Movielala are some of the popular companies that use Logentries, whereas ELK is used by Troopers, VCCloud, and home24. Logentries has a broader approval, being mentioned in 136 company stacks & 18 developers stacks; compared to ELK, which is listed in 53 company stacks and 14 developer stacks.

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Pros of ELK
Pros of Logentries
  • 13
    Open source
  • 3
    Good for startups with monetary limitations
  • 2
    Can run locally
  • 1
    Easy to setup
  • 1
    External Network Goes Down You Aren't Without Logging
  • 0
    Json log supprt
  • 0
    Live logging
  • 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

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Cons of ELK
Cons of Logentries
  • 4
    Elastic Search is a resource hog
  • 3
    Logstash configuration is a pain
  • 1
    Bad for startups with personal limitations
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    What is 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.

    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.

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    Jobs that mention ELK and Logentries as a desired skillset
    CBRE
    United States of America Texas Richardson
    CBRE
    India Telangana Hyderabad
    CBRE
    United Kingdom of Great Britain and Northern Ireland England Feltham
    What companies use ELK?
    What companies use Logentries?
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    What tools integrate with ELK?
    What tools integrate with Logentries?

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    Blog Posts

    Jun 19 2015 at 6:37AM

    ReadMe.io

    JavaScriptGitHubNode.js+25
    11
    1980
    What are some alternatives to ELK and Logentries?
    Datadog
    Datadog is the leading service for cloud-scale monitoring. It is used by IT, operations, and development teams who build and operate applications that run on dynamic or hybrid cloud infrastructure. Start monitoring in minutes with Datadog!
    Splunk
    It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.
    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.
    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