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  1. Stackups
  2. DevOps
  3. Log Management
  4. Log Management
  5. Kibana vs LogTrail vs Logentries

Kibana vs LogTrail vs Logentries

OverviewDecisionsComparisonAlternatives

Overview

Logentries
Logentries
Stacks278
Followers174
Votes105
Kibana
Kibana
Stacks20.6K
Followers16.4K
Votes262
GitHub Stars20.8K
Forks8.5K
LogTrail
LogTrail
Stacks7
Followers26
Votes0
GitHub Stars1.4K
Forks179

Kibana vs LogTrail vs Logentries: What are the differences?

# Key Differences between Kibana, LogTrail, and Logentries

Kibana is an open-source data visualization dashboard for Elasticsearch, providing users with the ability to search, view, and interact with data stored in Elasticsearch indices. LogTrail, on the other hand, is a plugin specifically designed for Kibana, allowing users to view and search log events in real time. Logentries is a cloud-based log management service that offers log aggregation, monitoring, and analytics capabilities.

1. **Integration**: Kibana is tightly integrated with Elasticsearch, as it is part of the Elastic Stack, enabling users to visualize data stored in Elasticsearch indices. LogTrail is a Kibana plugin that enhances the log viewing experience within the Kibana dashboard. Logentries, on the other hand, is a standalone log management service that can work independently of Elasticsearch or Kibana.
  
2. **Real-time Monitoring**: LogTrail provides real-time monitoring capabilities for log events, allowing users to track and analyze logs as they are generated. Kibana also offers real-time visualization options, but it is not specifically tailored for log monitoring. Logentries, on the other hand, focuses on real-time log aggregation and analysis for troubleshooting and monitoring purposes.
   
3. **Alerting Functionality**: While Kibana provides basic alerting capabilities through Watcher, LogTrail and Logentries offer more advanced alerting features. LogTrail allows users to set up custom alerts for specific log events, while Logentries includes built-in alerting functionality based on log data patterns and anomalies.
   
4. **User Interface**: Kibana has a rich and interactive user interface for data visualization and exploration, with features like dashboards, visualizations, and search capabilities. LogTrail enhances the Kibana interface by adding a dedicated log viewer for easy log event analysis. Logentries also provides a user-friendly interface for log management, with features like log search, tagging, and filtering.

5. **Scalability**: Kibana and LogTrail are scalable solutions that can handle large volumes of log data, especially when used in conjunction with Elasticsearch for data storage and indexing. Logentries is designed to scale seamlessly, offering cloud-based log management infrastructure for handling log data from multiple sources and applications.

6. **Cost**: Kibana is an open-source tool, making it a cost-effective option for data visualization and analysis. LogTrail is also open-source and freely available as a Kibana plugin. Logentries, being a cloud-based log management service, has pricing plans based on data usage and features, making it a more scalable yet potentially costly solution for log management needs.

In Summary, Kibana is a versatile data visualization tool tightly integrated with Elasticsearch, while LogTrail and Logentries offer specialized features for real-time log monitoring and management. Each tool caters to different log management needs, with varying degrees of integration, monitoring capabilities, alerting functionality, user interface, scalability, and cost considerations.

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Advice on Logentries, Kibana, LogTrail

matteo1989it
matteo1989it

Jun 26, 2019

ReviewonKibanaKibanaGrafanaGrafanaElasticsearchElasticsearch

I use both Kibana and Grafana on my workplace: Kibana for logging and Grafana for monitoring. Since you already work with Elasticsearch, I think Kibana is the safest choice in terms of ease of use and variety of messages it can manage, while Grafana has still (in my opinion) a strong link to metrics

757k views757k
Comments
StackShare
StackShare

Jun 25, 2019

Needs advice

From a StackShare Community member: “We need better analytics & insights into our Elasticsearch cluster. Grafana, which ships with advanced support for Elasticsearch, looks great but isn’t officially supported/endorsed by Elastic. Kibana, on the other hand, is made and supported by Elastic. I’m wondering what people suggest in this situation."

663k views663k
Comments
abrahamfathman
abrahamfathman

Jun 26, 2019

ReviewonKibanaKibanaSplunkSplunkGrafanaGrafana

I use Kibana because it ships with the ELK stack. I don't find it as powerful as Splunk however it is light years above grepping through log files. We previously used Grafana but found it to be annoying to maintain a separate tool outside of the ELK stack. We were able to get everything we needed from Kibana.

2.29M views2.29M
Comments

Detailed Comparison

Logentries
Logentries
Kibana
Kibana
LogTrail
LogTrail

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.

Kibana is an open source (Apache Licensed), browser based analytics and search dashboard for Elasticsearch. Kibana is a snap to setup and start using. Kibana strives to be easy to get started with, while also being flexible and powerful, just like Elasticsearch.

LogTrail is a plugin for Kibana to view, analyze, search and tail log events from multiple hosts in realtime with devops friendly interface inspired by Papertrail.

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.;S3 Archiving - Backup your log data daily to long term and cost effective triple redundancy storage in a SOC 2 compliant data center.;Server Monitoring - Monitor critical server stats and auto-generate log data for real-time alerting, visualized trending and deep performance insight.;Open API - Build easy, out-of-the-box integrations using Logentries’ open API;leverage existing toolsets and system integrations, including HipChat, PagerDuty and Campfire.;Team-based Annotations - See team member comments, share expertise, and maintain context with the new team-based view of system activity and log events;identify and resolve issues together in real-time.
Flexible analytics and visualization platform;Real-time summary and charting of streaming data;Intuitive interface for a variety of users;Instant sharing and embedding of dashboards
View, analyze and search log events from a centralized interface;Clean & simple devops friendly interface;Live tail;Filter aggregated logs by hosts and program;Quickly seek to logs based on time
Statistics
GitHub Stars
-
GitHub Stars
20.8K
GitHub Stars
1.4K
GitHub Forks
-
GitHub Forks
8.5K
GitHub Forks
179
Stacks
278
Stacks
20.6K
Stacks
7
Followers
174
Followers
16.4K
Followers
26
Votes
105
Votes
262
Votes
0
Pros & Cons
Pros
  • 34
    Log search
  • 27
    Live logs
  • 19
    Easy setup
  • 14
    Heroku Add-on
  • 5
    Backup to S3
Pros
  • 88
    Easy to setup
  • 65
    Free
  • 45
    Can search text
  • 21
    Has pie chart
  • 13
    X-axis is not restricted to timestamp
Cons
  • 7
    Unintuituve
  • 4
    Works on top of elastic only
  • 4
    Elasticsearch is huge
  • 3
    Hardweight UI
No community feedback yet
Integrations
cloudControl
cloudControl
Heroku
Heroku
AppFog
AppFog
AppHarbor
AppHarbor
Jelastic
Jelastic
Engine Yard Cloud
Engine Yard Cloud
Red Hat OpenShift
Red Hat OpenShift
PagerDuty
PagerDuty
Campfire
Campfire
HipChat
HipChat
Logstash
Logstash
Elasticsearch
Elasticsearch
Beats
Beats
No integrations available

What are some alternatives to Logentries, Kibana, LogTrail?

Grafana

Grafana

Grafana is a general purpose dashboard and graph composer. It's focused on providing rich ways to visualize time series metrics, mainly though graphs but supports other ways to visualize data through a pluggable panel architecture. It currently has rich support for for Graphite, InfluxDB and OpenTSDB. But supports other data sources via plugins.

Papertrail

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.

Prometheus

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.

Logmatic

Logmatic

Get a clear overview of what is happening across your distributed environments, and spot the needle in the haystack in no time. Build dynamic analyses and identify improvements for your software, your user experience and your business.

Loggly

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.

Logstash

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.

Nagios

Nagios

Nagios is a host/service/network monitoring program written in C and released under the GNU General Public License.

Netdata

Netdata

Netdata collects metrics per second & presents them in low-latency dashboards. It's designed to run on all of your physical & virtual servers, cloud deployments, Kubernetes clusters & edge/IoT devices, to monitor systems, containers & apps

Graylog

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.

Zabbix

Zabbix

Zabbix is a mature and effortless enterprise-class open source monitoring solution for network monitoring and application monitoring of millions of metrics.

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