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  1. Stackups
  2. DevOps
  3. Log Management
  4. Log Management
  5. Logentries vs Logstash vs Papertrail

Logentries vs Logstash vs Papertrail

OverviewComparisonAlternatives

Overview

Papertrail
Papertrail
Stacks605
Followers378
Votes273
Logentries
Logentries
Stacks278
Followers174
Votes105
Logstash
Logstash
Stacks12.3K
Followers8.8K
Votes103
GitHub Stars14.7K
Forks3.5K

Logentries vs Logstash vs Papertrail: What are the differences?

Introduction:
In the realm of log management tools, Logentries, Logstash, and Papertrail are widely used for collecting, parsing, and analyzing log data. Each has its unique features and benefits that cater to different needs of organizations.

1. **Data Collection**:
Logentries offer easy setup and integration with various platforms for data collection. Logstash, on the other hand, provides more flexibility in data collection with its ability to ingest logs from multiple sources simultaneously. Papertrail focuses on simplicity, offering a straightforward approach to data collection with minimal configuration needed.

2. **Parsing and Filtering**:
Logentries provide built-in parsing and filtering capabilities that make it easier to extract valuable data from logs. Logstash, with its powerful filtering plugins, allows for complex parsing and manipulation of log data. Papertrail, in comparison, offers basic parsing options but may lack the advanced features found in Logstash.

3. **Scalability and Performance**:
Logentries are known for their scalability, allowing organizations to handle large volumes of data efficiently. Logstash also boasts scalability, with the ability to process and analyze vast amounts of log data in real-time. Papertrail is suitable for small to medium-scale operations and may not offer the same level of scalability as Logentries or Logstash.

4. **Alerting and Monitoring**:
Logentries offer comprehensive alerting and monitoring features, allowing users to set up notifications based on predefined conditions. Logstash can be integrated with monitoring tools to provide alerting capabilities but may require additional configurations. Papertrail offers basic alerting options but may lack the advanced monitoring features found in Logentries.

5. **Cost and Support**:
Logentries have a subscription-based pricing model that varies based on data volume and features required, with support options available for additional fees. Logstash, being open-source, is free to use but may require expertise for setup and maintenance. Papertrail offers a pay-as-you-go pricing structure, making it suitable for organizations with fluctuating log data needs, with support included in the pricing.

6. **User Interface**:
Logentries provide a user-friendly interface with intuitive dashboards and visualization tools for easy log data analysis. Logstash relies on command-line interfaces and configuration files for setup and management, requiring a steeper learning curve. Papertrail offers a web-based interface that is simple to navigate, making it accessible for users with varying levels of technical expertise.

In Summary, Logentries, Logstash, and Papertrail each have their strengths in data collection, parsing, scalability, alerting, pricing, and user interface, catering to different requirements of organizations for effective log management and analysis.

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Detailed Comparison

Papertrail
Papertrail
Logentries
Logentries
Logstash
Logstash

Papertrail helps detect, resolve, and avoid infrastructure problems using log messages. Papertrail's practicality comes from our own experience as sysadmins, developers, and entrepreneurs.

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.

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.

Intuitive Web-based log viewer;Powerful command-line tools;Long-term archive (S3);REST API;Team-wide groups and searches;Automated export for tables and charts;Search alerts;Easy SQL analytics (Hadoop);Unlimited systems and users;Encrypted logging
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.
Centralize data processing of all types;Normalize varying schema and formats;Quickly extend to custom log formats;Easily add plugins for custom data source
Statistics
GitHub Stars
-
GitHub Stars
-
GitHub Stars
14.7K
GitHub Forks
-
GitHub Forks
-
GitHub Forks
3.5K
Stacks
605
Stacks
278
Stacks
12.3K
Followers
378
Followers
174
Followers
8.8K
Votes
273
Votes
105
Votes
103
Pros & Cons
Pros
  • 85
    Log search
  • 43
    Easy log aggregation across multiple machines
  • 43
    Integrates with Heroku
  • 37
    Simple interface
  • 26
    Backup to S3
Cons
  • 2
    Expensive
  • 1
    External Network Goes Down You Wont Be Logging
Pros
  • 34
    Log search
  • 27
    Live logs
  • 19
    Easy setup
  • 14
    Heroku Add-on
  • 5
    Backup to S3
Pros
  • 69
    Free
  • 18
    Easy but powerful filtering
  • 12
    Scalable
  • 2
    Kibana provides machine learning based analytics to log
  • 1
    Well Documented
Cons
  • 4
    Memory-intensive
  • 1
    Documentation difficult to use
Integrations
Slack
Slack
Heroku
Heroku
PagerDuty
PagerDuty
Amazon S3
Amazon S3
AWS Elastic Beanstalk
AWS Elastic Beanstalk
Amazon RDS
Amazon RDS
OpsGenie
OpsGenie
New Relic
New Relic
Librato
Librato
HipChat
HipChat
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
Kibana
Kibana
Elasticsearch
Elasticsearch
Beats
Beats

What are some alternatives to Papertrail, Logentries, Logstash?

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.

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.

Sematext

Sematext

Sematext pulls together performance monitoring, logs, user experience and synthetic monitoring that tools organizations need to troubleshoot performance issues faster.

Fluentd

Fluentd

Fluentd collects events from various data sources and writes them to files, RDBMS, NoSQL, IaaS, SaaS, Hadoop and so on. Fluentd helps you unify your logging infrastructure.

ELK

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.

Sumo Logic

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.

Splunk

Splunk

It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.

LogDNA

LogDNA

The easiest log management system you will ever use! LogDNA is a cloud-based log management system that allows engineering and devops to aggregate all system and application logs into one efficient platform. Save, store, tail and search app

AWS CloudTrail

AWS CloudTrail

With CloudTrail, you can get a history of AWS API calls for your account, including API calls made via the AWS Management Console, AWS SDKs, command line tools, and higher-level AWS services (such as AWS CloudFormation). The AWS API call history produced by CloudTrail enables security analysis, resource change tracking, and compliance auditing. The recorded information includes the identity of the API caller, the time of the API call, the source IP address of the API caller, the request parameters, and the response elements returned by the AWS service.

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