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Loggly

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168
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20
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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.

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

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Pros of Loggly
Pros of Splunk
  • 37
    Centralized log management
  • 25
    Easy to setup
  • 21
    Great filtering
  • 16
    Live logging
  • 15
    Json log support
  • 10
    Log Management
  • 10
    Alerting
  • 7
    Great Dashboards
  • 7
    Love the product
  • 4
    Heroku Add-on
  • 2
    Easy to setup and use
  • 2
    Easy setup
  • 2
    No alerts in free plan
  • 2
    Great UI
  • 2
    Good parsing
  • 2
    Powerful
  • 2
    Fast search
  • 2
    Backup to S3
  • 3
    API for searching logs, running reports
  • 3
    Alert system based on custom query results
  • 2
    Splunk language supports string, date manip, math, etc
  • 2
    Dashboarding on any log contents
  • 2
    Custom log parsing as well as automatic parsing
  • 2
    Query engine supports joining, aggregation, stats, etc
  • 2
    Rich GUI for searching live logs
  • 2
    Ability to style search results into reports
  • 1
    Granular scheduling and time window support
  • 1
    Query any log as key-value pairs

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Cons of Loggly
Cons of Splunk
  • 3
    Pricey after free plan
  • 1
    Splunk query language rich so lots to learn

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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 Splunk?

It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.

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What companies use Loggly?
What companies use Splunk?
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What tools integrate with Loggly?
What tools integrate with Splunk?

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