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

Fluentd vs Papertrail

OverviewComparisonAlternatives

Overview

Papertrail
Papertrail
Stacks605
Followers378
Votes273
Fluentd
Fluentd
Stacks630
Followers688
Votes39
GitHub Stars13.4K
Forks1.4K

Fluentd vs Papertrail: What are the differences?

Introduction

In the world of log management and aggregation, Fluentd and Papertrail are two popular options. While both tools aim to streamline the collection and analysis of logs, there are key differences that differentiate the two solutions.

  1. Data Sources: Fluentd is a versatile tool that can collect logs from numerous sources, including system logs, application logs, and more. It provides flexibility in managing diverse data streams. On the other hand, Papertrail is more focused on log management for cloud-based applications and services, making it ideal for those working with cloud infrastructures such as AWS or Heroku.

  2. Ease of Use: Fluentd offers more advanced configuration options and requires a deeper understanding of its configuration language. It is best suited for users who are comfortable with customizing their log aggregation setup. Papertrail, on the other hand, is known for its simplicity and user-friendly interface, making it easier for beginners to get started with log management.

  3. Scalability: Fluentd is designed for high scalability and performance, making it a suitable choice for handling large volumes of logs in enterprise environments. With its distributed architecture and support for plugins, Fluentd excels in managing log pipelines at scale. In comparison, Papertrail is more limited in terms of scalability and may not be the best choice for organizations with extensive logging needs.

  4. Customization: Fluentd offers extensive customization options through its plugin ecosystem, allowing users to tailor the tool to their specific requirements. This makes it a powerful tool for creating custom log processing pipelines. Papertrail, while user-friendly, has fewer customization options and may not be as flexible in meeting unique log management needs.

  5. Pricing Model: Fluentd is an open-source tool, which means it is free to use and customize. Organizations can deploy Fluentd without incurring licensing costs, making it a cost-effective solution for log management. In contrast, Papertrail operates on a subscription-based model, where users pay based on the volume of logs they ingest. This pricing model may be more suitable for organizations looking for a managed log management service.

  6. Community Support: Fluentd has a vibrant open-source community that actively develops plugins, shares best practices, and provides support to users. This community-driven approach ensures that users have access to a wealth of resources for troubleshooting and optimizing their log management setup. While Papertrail also offers support options, the level of community engagement and resources may not be as extensive as with Fluentd.

In Summary, Fluentd and Papertrail differ in terms of data sources, ease of use, scalability, customization options, pricing model, and community support, catering to different needs and preferences in the realm of log management.

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Detailed Comparison

Papertrail
Papertrail
Fluentd
Fluentd

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

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.

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
Open source; Flexible; Minimum resources; Reliable
Statistics
GitHub Stars
-
GitHub Stars
13.4K
GitHub Forks
-
GitHub Forks
1.4K
Stacks
605
Stacks
630
Followers
378
Followers
688
Votes
273
Votes
39
Pros & Cons
Pros
  • 85
    Log search
  • 43
    Integrates with Heroku
  • 43
    Easy log aggregation across multiple machines
  • 37
    Simple interface
  • 26
    Backup to S3
Cons
  • 2
    Expensive
  • 1
    External Network Goes Down You Wont Be Logging
Pros
  • 11
    Open-source
  • 10
    Great for Kubernetes node container log forwarding
  • 9
    Easy
  • 9
    Lightweight
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
No integrations available

What are some alternatives to Papertrail, Fluentd?

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.

Logentries

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.

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.

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.

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

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