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Loggly vs Splunk: What are the differences?
Key Differences between Loggly and Splunk
Loggly and Splunk are both popular log management and analysis tools used for monitoring and troubleshooting applications and infrastructure. However, there are several key differences between them.
Pricing Model: Loggly offers a simple and straightforward pricing model based on the volume of log data ingested, making it easy to estimate costs. On the other hand, Splunk follows a more complex pricing structure based on the number of users and the amount of data indexed, which can make it difficult to predict expenses accurately.
Ease of Use: Loggly is known for its intuitive user interface and straightforward setup process, making it more accessible for users of all skill levels. Splunk, on the other hand, has a steeper learning curve and requires more technical expertise to fully utilize its capabilities.
Search and Query Capabilities: Splunk offers advanced search and query capabilities, including the ability to perform complex ad-hoc searches and correlation across multiple data sources. Loggly, while still capable of searching and analyzing logs effectively, may not have the same level of flexibility and advanced features as Splunk in this regard.
Integration and Compatibility: Splunk provides extensive out-of-the-box integration options with a wide range of data sources and tools, making it easier to aggregate and analyze logs from various systems. Loggly, while still offering integrations with popular services, may have limitations in terms of compatibility with certain platforms or custom log formats.
Scalability and Performance: Splunk is known for its scalability and ability to handle large volumes of log data efficiently. It can be deployed in distributed environments, enabling high availability and improved performance. Loggly, while scalable to a certain extent, may have limitations in managing larger data volumes and may not provide the same level of performance as Splunk in more demanding scenarios.
Enterprise Features: Splunk offers a wide range of enterprise-level features, including role-based access control, advanced alerting and reporting capabilities, and integration with third-party security tools. Loggly, while suitable for many use cases, may have limitations in terms of advanced enterprise features and security-related functionality.
In summary, Loggly and Splunk differ in their pricing models, ease of use, search capabilities, integration and compatibility options, scalability and performance capabilities, as well as the range of enterprise features offered. Choosing between the two ultimately depends on specific requirements and preferences.
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 Splunk
- API for searching logs, running reports3
- Alert system based on custom query results3
- Splunk language supports string, date manip, math, etc2
- Dashboarding on any log contents2
- Custom log parsing as well as automatic parsing2
- Query engine supports joining, aggregation, stats, etc2
- Rich GUI for searching live logs2
- Ability to style search results into reports2
- Granular scheduling and time window support1
- Query any log as key-value pairs1
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Cons of Loggly
- Pricey after free plan3
Cons of Splunk
- Splunk query language rich so lots to learn1