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Graylog

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Graylog vs Logsene: What are the differences?

  1. Data Processing Mechanism: Graylog uses Elasticsearch for storage and search functionalities, while Logsene uses a specialized logging infrastructure that includes Elasticsearch for indexing and search. This difference can impact the performance and scalability of the logging and monitoring solution.
  2. Alerting Capabilities: Graylog provides built-in alerting features enabling users to create custom alerts based on specific conditions, whereas Logsene requires external tools or services such as Elasticsearch Watcher for setting up alerting mechanisms. This distinction affects the ease of setting up and managing alerts within the platform.
  3. User Interface Design: Graylog offers a more robust and feature-rich web interface with various visualization options and dashboard customization capabilities, whereas Logsene provides a simpler and more user-friendly interface focused on ease of use and quick access to essential logging data. This difference can influence the user experience and ease of navigation within the logging system.
  4. Community Support and Documentation: Graylog has a larger user community and extensive documentation available online, enabling users to troubleshoot issues, seek help, and find resources easily, while Logsene may lack the same level of community support and comprehensive documentation, leading to potential challenges in resolving problems and accessing relevant information.
  5. Integration Ecosystem: Graylog boasts a wide range of integrations with third-party systems and tools, allowing users to seamlessly connect with various technologies and extend the platform's functionality. In contrast, Logsene may have limited integrations available, which can restrict the flexibility and extensibility of the logging solution for users with complex IT environments.
  6. Pricing Model: Graylog offers an open-source version with basic features available for free, while requiring payment for advanced functionalities and enterprise support. On the other hand, Logsene operates on a subscription-based pricing model, providing a more predictable cost structure for organizations utilizing the logging service. These pricing models cater to different user needs and budget considerations.

In Summary, Graylog and Logsene differ in their data processing mechanisms, alerting capabilities, user interface design, community support, integration ecosystem, and pricing models.

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Pros of Graylog
Pros of Sematext
  • 19
    Open source
  • 13
    Powerfull
  • 8
    Well documented
  • 6
    Alerts
  • 5
    User authentification
  • 5
    Flexibel query and parsing language
  • 3
    Alerts and dashboards
  • 3
    User management
  • 3
    Easy query language and english parsing
  • 2
    Easy to install
  • 1
    Manage users and permissions
  • 1
    A large community
  • 1
    Free Version
  • 5
    Vercel integration
  • 5
    Great filtering and grouping
  • 5
    Easy to set up
  • 5
    Centralized log management
  • 5
    ECS integration
  • 4
    Custom dashboards
  • 4
    Built-in dashboards
  • 3
    Includes Kibana
  • 3
    Live logging
  • 2
    Flexible plans
  • 1
    Elasticsearch API
  • 1
    Easy setup
  • 1
    Full monitoring platform

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Cons of Graylog
Cons of Sematext
  • 1
    Does not handle frozen indices at all
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    What is 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.

    What is Sematext?

    Sematext pulls together performance monitoring, logs, user experience and synthetic monitoring that tools organizations need to troubleshoot performance issues faster.

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    What companies use Graylog?
    What companies use Sematext?
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    What are some alternatives to Graylog and Sematext?
    Splunk
    It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.
    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.
    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.
    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.
    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).
    See all alternatives