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

Amazon CloudWatch vs Papertrail

OverviewComparisonAlternatives

Overview

Papertrail
Papertrail
Stacks605
Followers378
Votes273
Amazon CloudWatch
Amazon CloudWatch
Stacks12.0K
Followers8.2K
Votes214

Amazon CloudWatch vs Papertrail: What are the differences?

  1. Key difference 1: Data Source

    • Amazon CloudWatch: It is primarily used for monitoring cloud resources and applications within the AWS ecosystem. It collects and tracks metrics, log files, and events from AWS services.
    • Papertrail: On the other hand, Papertrail is a cloud-based log management tool, focusing mainly on managing and analyzing logs from various sources like systems, applications, and cloud environments.
  2. Key difference 2: Log Retention

    • Amazon CloudWatch: It provides long-term data retention with a flexible storage duration, allowing users to retain logs for up to 15 years.
    • Papertrail: In contrast, Papertrail has a shorter log retention window, offering 2 to 365 days of log storage depending on the pricing plan.
  3. Key difference 3: Log Search

    • Amazon CloudWatch: It supports log searching capabilities within the CloudWatch console, enabling users to search logs based on keywords, time range, and filter patterns. However, the search functionality may not be as robust as dedicated log management solutions.
    • Papertrail: In Papertrail, log search is a core feature, providing advanced search options such as regular expressions, saved searches, and live tailing. It offers a more comprehensive log search experience.
  4. Key difference 4: Alerting

    • Amazon CloudWatch: It offers powerful alerting capabilities, allowing users to define thresholds and trigger notifications based on metric values, log events, anomaly detection, and composite alarms.
    • Papertrail: While Papertrail does provide basic alerting options, it may not have the same level of flexibility and integration options as CloudWatch when it comes to alerting on logs.
  5. Key difference 5: Integration

    • Amazon CloudWatch: As an integral part of the AWS ecosystem, CloudWatch seamlessly integrates with various AWS services, allowing users to collect metrics and logs from the entire infrastructure.
    • Papertrail: Although Papertrail can integrate with some AWS services using agents or third-party solutions, it is not designed specifically for AWS, and its integration options might be more limited.
  6. Key difference 6: Pricing Model

    • Amazon CloudWatch: It follows a pay-as-you-go pricing model, where users are billed based on the volume of metrics, logs, and events ingested, as well as additional features utilized.
    • Papertrail: On the other hand, Papertrail typically offers a flat-rate pricing structure based on the maximum log volume per day, with additional charges for add-on features or volume overages.

In Summary, Amazon CloudWatch is primarily focused on monitoring AWS resources, offers long-term data retention, powerful alerting, deep AWS integration, and flexible pricing. On the other hand, Papertrail is a cloud-based log management tool with a wider scope, advanced log search capabilities, and more flexible log retention options.

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Detailed Comparison

Papertrail
Papertrail
Amazon CloudWatch
Amazon CloudWatch

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

It helps you gain system-wide visibility into resource utilization, application performance, and operational health. It retrieve your monitoring data, view graphs to help take automated action based on the state of your cloud environment.

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
Basic Monitoring for Amazon EC2 instances: ten pre-selected metrics at five-minute frequency, free of charge.;Detailed Monitoring for Amazon EC2 instances: seven pre-selected metrics at one-minute frequency, for an additional charge.;Amazon EBS volumes: eight pre-selected metrics at five-minute frequency, free of charge.;Elastic Load Balancers: thirteen pre-selected metrics at one-minute frequency, free of charge.;Amazon RDS DB instances: thirteen pre-selected metrics at one-minute frequency, free of charge.;Amazon SQS queues: eight pre-selected metrics at five-minute frequency, free of charge.;Amazon SNS topics: four pre-selected metrics at five-minute frequency, free of charge.;Amazon ElastiCache nodes: twenty-nine pre-selected metrics at one-minute frequency, free of charge.;Amazon DynamoDB tables: seven pre-selected metrics at five-minute frequency, free of charge.;AWS Storage Gateways: eleven pre-selected gateway metrics and five pre-selected storage volume metrics at five-minute frequency, free of charge.;Amazon Elastic MapReduce job flows: twenty-three pre-selected metrics at five-minute frequency, free of charge.;Auto Scaling groups: seven pre-selected metrics at one-minute frequency, optional and charged at standard pricing.;Estimated charges on your AWS bill: you can also choose to enable metrics to monitor your AWS charges. The number of metrics depends on the AWS products and services that you use, and these metrics are free of charge. Learn more about this option.
Statistics
Stacks
605
Stacks
12.0K
Followers
378
Followers
8.2K
Votes
273
Votes
214
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
  • 76
    Monitor aws resources
  • 46
    Zero setup
  • 30
    Detailed Monitoring
  • 23
    Backed by Amazon
  • 19
    Auto Scaling groups
Cons
  • 2
    Poor Search Capabilities
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, Amazon CloudWatch?

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.

Stackdriver

Stackdriver

Google Stackdriver provides powerful monitoring, logging, and diagnostics. It equips you with insight into the health, performance, and availability of cloud-powered applications, enabling you to find and fix issues faster.

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.

Lumigo

Lumigo

Lumigo is an observability platform built for developers, unifying distributed tracing with payload data, log management, and real-time metrics to help you deeply understand and troubleshoot your systems.

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.

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