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Graylog vs LogDNA: What are the differences?

Introduction

In this article, we will discuss the key differences between Graylog and LogDNA, two popular log management and analysis platforms.

  1. Deployment Options: Graylog offers flexible deployment options, allowing users to install it on-premises or in the cloud. In contrast, LogDNA is a cloud-native solution that is available only as a Software-as-a-Service (SaaS) offering, making it easier to set up and manage without the need for hardware or infrastructure configuration.

  2. Data Collection: Graylog supports various data collection methods, including syslog, Beats, and GELF, enabling users to collect logs from different sources easily. On the other hand, LogDNA primarily relies on log forwarding through agent-based integrations but also offers log ingestion through REST API for more flexibility.

  3. Search Capabilities: Graylog provides a powerful search functionality with support for Elasticsearch as its backend. It offers advanced search queries, filtering options, and the ability to create complex pipelines for log processing. LogDNA, on the other hand, emphasizes a simple and intuitive search experience, focusing on real-time log tailing and keyword-based searching rather than complex queries.

  4. User Interface and Visualization: Graylog offers a web-based interface that provides a comprehensive log management dashboard with various visualization options, including charts, graphs, and dashboards. LogDNA, with its clean and minimalistic UI, prioritizes simplicity and ease of use, primarily focusing on displaying log streams and providing real-time log tailing functionality.

  5. Alerting and Notification: Graylog offers a robust alerting system that allows users to define alert conditions based on log events and trigger notifications through various channels such as email, Slack, or PagerDuty. LogDNA provides basic alerting and notification capabilities as well, but the functionality is relatively simpler compared to Graylog.

  6. Community and Support: Graylog benefits from a vibrant open-source community and offers community-driven support, in addition to professional support options. LogDNA also provides customer support options but mainly focuses on providing direct support through its technical team, not relying on community-based support.

In summary, Graylog provides more extensive deployment options, advanced search capabilities, and broader community support compared to LogDNA. On the other hand, LogDNA offers a simpler and more streamlined log management experience with a cloud-native deployment model.

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Pros of Graylog
Pros of LogDNA
  • 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
  • 6
    Easy setup
  • 4
    Cheap
  • 3
    Extremely fast
  • 2
    Powerful filtering and alerting functionality
  • 1
    Graphing capabilities
  • 1
    Export data to S3
  • 1
    Multi-cloud

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Cons of Graylog
Cons of LogDNA
  • 1
    Does not handle frozen indices at all
  • 1
    Limited visualization capabilities
  • 1
    Cannot copy & paste text from visualization

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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 LogDNA?

The easiest log management system you will ever use! LogDNA is a cloud-based log management system that allows engineering and devops to aggregate all system and application logs into one efficient platform. Save, store, tail and search app

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What companies use Graylog?
What companies use LogDNA?
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What tools integrate with Graylog?
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What are some alternatives to Graylog and LogDNA?
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).
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