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

Grafana vs Papertrail

OverviewDecisionsComparisonAlternatives

Overview

Papertrail
Papertrail
Stacks605
Followers378
Votes273
Grafana
Grafana
Stacks18.4K
Followers14.6K
Votes415
GitHub Stars70.7K
Forks13.1K

Grafana vs Papertrail: What are the differences?

Introduction

Grafana and Papertrail are two popular tools used for monitoring and visualizing logs in a website. While they both offer similar functionalities, there are key differences between the two. This article will highlight and explain six specific differences between Grafana and Papertrail.

  1. Architecture: Grafana is a time-series analytics platform that provides a web-based interface for creating and sharing dashboards. It can be used with various data sources and supports multiple databases, including Graphite, InfluxDB, and Prometheus. On the other hand, Papertrail is a cloud-hosted log management service that centralizes logs in real-time and allows users to search and analyze them using a web-based interface. Unlike Grafana, Papertrail is specifically designed for log management.

  2. Visualization: Grafana excels at data visualization and provides a wide range of visualizations, including graphs, charts, and tables. It allows users to create interactive dashboards with customizable panels and supports advanced features like annotations, templating, and alerting. In contrast, Papertrail focuses more on search and filtering capabilities rather than visualization. While it provides basic visualization options like line graphs, it lacks the extensive visualization features offered by Grafana.

  3. Alerting: Grafana offers robust alerting capabilities that allow users to set up rules and notifications based on metrics and thresholds. It supports various notification channels like email, Slack, and PagerDuty. Users can configure alerts based on specific conditions and receive real-time alerts when those conditions are met or breached. On the other hand, Papertrail does not provide built-in alerting features. Although it can integrate with external services for alerting, it requires additional configuration and setup.

  4. Log Management: Papertrail specializes in log management and offers powerful search and filtering capabilities. It allows users to aggregate logs from multiple sources and provides advanced searching options like keyword search, field-based search, and time-range searching. Users can also apply filters to narrow down the search results. Grafana, on the other hand, is not primarily focused on log management. While it can visualize logs, it may not offer the same level of log management functionality as Papertrail.

  5. Ease of Setup and Use: Grafana provides a user-friendly interface and is relatively easy to set up. It offers a comprehensive documentation and a large community, which makes it easier for users to understand and get started with the tool. Grafana also provides many pre-built dashboards and plugins, which can be readily used to monitor and visualize different metrics. Papertrail, on the other hand, is a fully-managed service and requires minimal setup. It provides a simple and intuitive interface, making it easy for users to navigate and search logs without the need for complex configurations.

  6. Pricing: Grafana is an open-source tool and can be used for free. However, it requires infrastructure and resources to set up and maintain. Depending on the data sources and scale, additional costs may be involved. Papertrail, on the other hand, follows a subscription-based pricing model. It offers different pricing plans based on the log volume and retention requirements. While small usage tiers may be available for free, higher usage and additional features may require a paid plan.

In summary, Grafana is a versatile analytics platform focused on data visualization and dashboarding, with support for various databases and extensive customization options. Papertrail, on the other hand, is a cloud-based log management service that emphasizes search and filtering capabilities. The choice between the two depends on specific requirements, including the need for log management, alerting, ease of setup, and pricing considerations.

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Advice on Papertrail, Grafana

Leonardo Henrique da
Leonardo Henrique da

Pleno QA Enginneer at SolarMarket

Dec 8, 2020

Decided

The objective of this work was to develop a system to monitor the materials of a production line using IoT technology. Currently, the process of monitoring and replacing parts depends on manual services. For this, load cells, microcontroller, Broker MQTT, Telegraf, InfluxDB, and Grafana were used. It was implemented in a workflow that had the function of collecting sensor data, storing it in a database, and visualizing it in the form of weight and quantity. With these developed solutions, he hopes to contribute to the logistics area, in the replacement and control of materials.

402k views402k
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
Susmita
Susmita

Senior SRE at African Bank

Jul 28, 2020

Needs adviceonGrafanaGrafana

Looking for a tool which can be used for mainly dashboard purposes, but here are the main requirements:

  • Must be able to get custom data from AS400,
  • Able to display automation test results,
  • System monitoring / Nginx API,
  • Able to get data from 3rd parties DB.

Grafana is almost solving all the problems, except AS400 and no database to get automation test results.

869k views869k
Comments

Detailed Comparison

Papertrail
Papertrail
Grafana
Grafana

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

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.

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
Create, edit, save & search dashboards;Change column spans and row heights;Drag and drop panels to rearrange;Use InfluxDB or Elasticsearch as dashboard storage;Import & export dashboard (json file);Import dashboard from Graphite;Templating
Statistics
GitHub Stars
-
GitHub Stars
70.7K
GitHub Forks
-
GitHub Forks
13.1K
Stacks
605
Stacks
18.4K
Followers
378
Followers
14.6K
Votes
273
Votes
415
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
  • 89
    Beautiful
  • 68
    Graphs are interactive
  • 57
    Free
  • 56
    Easy
  • 34
    Nicer than the Graphite web interface
Cons
  • 1
    No interactive query builder
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
Graphite
Graphite
InfluxDB
InfluxDB

What are some alternatives to Papertrail, Grafana?

Kibana

Kibana

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.

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.

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.

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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