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  1. Stackups
  2. DevOps
  3. Log Management
  4. Log Management
  5. Graylog vs Splunk

Graylog vs Splunk

OverviewComparisonAlternatives

Overview

Splunk
Splunk
Stacks772
Followers1.0K
Votes20
Graylog
Graylog
Stacks595
Followers711
Votes70
GitHub Stars7.9K
Forks1.1K

Graylog vs Splunk: What are the differences?

Introduction

This markdown code provides a comparison between Graylog and Splunk, highlighting the key differences between the two log management and analysis solutions.

  1. Scalability: Graylog offers a horizontal scalability model, allowing users to add more servers to handle increasing log volumes and processing needs. On the other hand, Splunk follows a vertical scalability approach, where upgrading hardware resources on a single server is preferred. This difference in scalability models can significantly impact the cost and flexibility of log management systems.

  2. Licensing: Graylog is an open-source tool with a free version available for basic log aggregation and analysis. Additionally, it provides enterprise-grade paid versions with additional features and support. In contrast, Splunk has a commercial licensing model, which means the use of an enterprise version requires a paid license, making it more expensive for organizations with budget constraints.

  3. Ease of Use: Graylog has a simpler and more intuitive user interface, making it easier for less technical users to navigate and perform log analysis tasks. Splunk, on the other hand, has a steeper learning curve and requires more technical expertise to configure and use effectively. This difference in user-friendliness can impact the ease of adoption and usability for different user profiles.

  4. Log Collection: Graylog supports a wide range of log sources out of the box, including syslog, GELF (Graylog Extended Log Format), and more. It provides flexibility in collecting logs from different sources without additional configuration effort. Splunk, on the other hand, requires plugins or custom configurations to collect logs from various sources, which can add complexity and time to the setup process.

  5. Search and Query Capabilities: Graylog provides powerful search functionality with its proprietary query language. Users can perform complex queries, filter logs based on specific criteria, and create customized dashboards. Splunk, on the other hand, offers a more mature and feature-rich search and query language, allowing users to perform advanced searches, correlation, and statistical analysis. It provides a wider range of built-in functionalities for log data analysis.

  6. Cost-effectiveness: Graylog's open-source model combined with its competitive pricing for enterprise versions makes it a more cost-effective option for organizations with limited budgets. Splunk, with its commercial licensing model, often becomes more expensive, especially for large-scale log management deployments. The cost aspect is an essential consideration when choosing between Graylog and Splunk in terms of the organization's budget and log management needs.

In summary, Graylog and Splunk differ in terms of scalability models, licensing, ease of use, log collection capabilities, search and query functionality, and cost-effectiveness. The choice between the two depends on specific requirements, budget constraints, and the technical expertise available within the organization.

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Detailed Comparison

Splunk
Splunk
Graylog
Graylog

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

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.

Predict and prevent problems with one unified monitoring experience; Streamline your entire security stack with Splunk as the nerve center; Detect, investigate and diagnose problems easily with end-to-end observability
-
Statistics
GitHub Stars
-
GitHub Stars
7.9K
GitHub Forks
-
GitHub Forks
1.1K
Stacks
772
Stacks
595
Followers
1.0K
Followers
711
Votes
20
Votes
70
Pros & Cons
Pros
  • 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
    Query engine supports joining, aggregation, stats, etc
  • 2
    Custom log parsing as well as automatic parsing
Cons
  • 1
    Splunk query language rich so lots to learn
Pros
  • 19
    Open source
  • 13
    Powerfull
  • 8
    Well documented
  • 6
    Alerts
  • 5
    User authentification
Cons
  • 1
    Does not handle frozen indices at all
Integrations
No integrations available
GitHub
GitHub

What are some alternatives to Splunk, Graylog?

Papertrail

Papertrail

Papertrail helps detect, resolve, and avoid infrastructure problems using log messages. Papertrail's practicality comes from our own experience as sysadmins, developers, and entrepreneurs.

Logmatic

Logmatic

Get a clear overview of what is happening across your distributed environments, and spot the needle in the haystack in no time. Build dynamic analyses and identify improvements for your software, your user experience and your business.

Loggly

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.

Apache Spark

Apache Spark

Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.

Logentries

Logentries

Logentries makes machine-generated log data easily accessible to IT operations, development, and business analysis teams of all sizes. With the broadest platform support and an open API, Logentries brings the value of log-level data to any system, to any team member, and to a community of more than 25,000 worldwide users.

Logstash

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.

Presto

Presto

Distributed SQL Query Engine for Big Data

Amazon Athena

Amazon Athena

Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.

Sematext

Sematext

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

Fluentd

Fluentd

Fluentd collects events from various data sources and writes them to files, RDBMS, NoSQL, IaaS, SaaS, Hadoop and so on. Fluentd helps you unify your logging infrastructure.

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