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Loggly vs Logstash vs Papertrail: What are the differences?
## Introduction
## Key Differences Between Loggly, Logstash, and Papertrail
1. **Data Sources**: Loggly primarily focuses on cloud-based log management, Logstash is an open-source data processing pipeline, while Papertrail specializes in real-time log management solution.
2. **Architecture**: Loggly offers a cloud-based log management architecture, Logstash is a server-side data processing pipeline, and Papertrail provides real-time log management through a cloud-hosted service.
3. **Integration**: Loggly integrates well with various platforms like AWS, Heroku, and Docker. Logstash integrates seamlessly with Elasticsearch for data indexing and searching, while Papertrail offers straightforward integrations with popular services like AWS, Heroku, and Firebase.
4. **Features**: Loggly offers advanced log analysis features like dynamic field explorer and event graphs, Logstash provides robust data processing capabilities through filters and plugins, while Papertrail offers advanced searching and live tail features for real-time log monitoring.
5. **Scalability**: Loggly provides scalable log management solutions for large enterprise applications, Logstash offers scalability through distributed data processing capabilities, while Papertrail provides real-time log management for both small and large applications.
6. **Ease of Use**: Loggly provides a user-friendly dashboard for log management, Logstash requires more technical expertise for configuration and maintenance, and Papertrail offers a simple and intuitive interface for log analysis and monitoring.
In Summary, the key differences between Loggly, Logstash, and Papertrail lie in their focus on data sources, architecture, integration, features, scalability, and ease of use.
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Learn MorePros of Loggly
Pros of Logstash
Pros of Papertrail
Pros of Loggly
- Centralized log management37
- Easy to setup25
- Great filtering21
- Live logging16
- Json log support15
- Log Management10
- Alerting10
- Great Dashboards7
- Love the product7
- Heroku Add-on4
- Easy to setup and use2
- Easy setup2
- No alerts in free plan2
- Great UI2
- Good parsing2
- Powerful2
- Fast search2
- Backup to S32
Pros of Logstash
- Free69
- Easy but powerful filtering18
- Scalable12
- Kibana provides machine learning based analytics to log2
- Great to meet GDPR goals1
- Well Documented1
Pros of Papertrail
- Log search85
- Easy log aggregation across multiple machines43
- Integrates with Heroku43
- Simple interface37
- Backup to S326
- Easy setup, independent of existing logging setup19
- Heroku add-on15
- Command line interface3
- Alerting1
- Good for Startups1
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Cons of Loggly
Cons of Logstash
Cons of Papertrail
Cons of Loggly
- Pricey after free plan3
Cons of Logstash
- Memory-intensive4
- Documentation difficult to use1
Cons of Papertrail
- Expensive2
- External Network Goes Down You Wont Be Logging1
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What is 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.
What is 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.
What is 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.
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What companies use Loggly?
What companies use Logstash?
What companies use Papertrail?
What companies use Papertrail?
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What tools integrate with Loggly?
What tools integrate with Logstash?
What tools integrate with Papertrail?
What tools integrate with Papertrail?
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What are some alternatives to Loggly, Logstash, and Papertrail?
Splunk
It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.
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.
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.
Elasticsearch
Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack).
New Relic
The world’s best software and DevOps teams rely on New Relic to move faster, make better decisions and create best-in-class digital experiences. If you run software, you need to run New Relic. More than 50% of the Fortune 100 do too.