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Loggly vs Papertrail: What are the differences?
Key Differences between Loggly and Papertrail
Introduction
When it comes to log management and analysis, Loggly and Papertrail are two popular options. While they both offer similar functionalities, there are significant differences that make each platform unique. In this comparison, we will highlight six key differences between Loggly and Papertrail.
Pricing Model: Loggly follows a monthly subscription-based pricing model, where users pay based on the volume of logs processed. On the other hand, Papertrail adopts a usage-based pricing approach, where customers are billed according to the total volume of events ingested. This difference in pricing models allows users to choose the most cost-effective option based on their specific log management requirements.
Search and Query Capabilities: Loggly provides a powerful search and query language that allows users to formulate complex searches and filter logs based on various criteria. It offers features like boolean queries, wildcards, and regular expressions. In contrast, while Papertrail supports basic search functionalities, its search capabilities are generally more limited, making it more suitable for simpler log analysis needs.
Alerting Functionality: Loggly offers robust alerting capabilities that allow users to define triggers based on specific log events or trends. These alerts can be configured to notify users via various channels like email, SMS, or webhooks. Conversely, Papertrail has more basic alerting features and is primarily focused on providing real-time log streaming and aggregation rather than advanced alerting functionality.
Integration Options: Loggly supports a wide range of integrations with popular tools and platforms like AWS, Heroku, and Slack. It provides native integration options and offers a RESTful API for custom integrations. Papertrail also provides integrations with various systems but has a more limited selection compared to Loggly. Users choosing between the two platforms should consider their existing toolset and evaluate the available integrations.
User Interface: Loggly provides a user-friendly and intuitive web interface, making it easy for users to navigate and analyze log data. It offers a rich set of visualizations and dashboards to gain insights from logs effectively. Papertrail also provides a user interface but has a simpler design and fewer visualization options compared to Loggly. Users preferring a more visually appealing and feature-rich interface may find Loggly more suitable for their needs.
Scalability and Performance: Loggly is known for its high scalability and performance, capable of handling large volumes of logs efficiently. It supports distributed log processing and can handle millions of log events per second. While Papertrail also offers scalable log management capabilities, it may have some limitations in terms of processing extremely high log volumes, making it more suitable for smaller-scale log analysis requirements.
In Summary, these key differences between Loggly and Papertrail include their pricing models, search and query capabilities, alerting functionality, integration options, user interface design, and scalability/performance. Users should carefully consider these factors to select the most suitable log management solution for their specific needs.
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 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
- Pricey after free plan3
Cons of Papertrail
- Expensive2
- External Network Goes Down You Wont Be Logging1