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

Rsyslog vs Splunk

OverviewComparisonAlternatives

Overview

Splunk
Splunk
Stacks773
Followers1.0K
Votes20
Rsyslog
Rsyslog
Stacks37
Followers75
Votes0
GitHub Stars2.2K
Forks700

Rsyslog vs Splunk: What are the differences?

Key Differences between Rsyslog and Splunk

Rsyslog and Splunk are both log management and analysis tools, but they differ in several key aspects. Below are the key differences between Rsyslog and Splunk:

  1. Deployment and Licensing: Rsyslog is an open-source tool that is available under the GNU General Public License (GPL). It can be deployed on various operating systems and is free to use. On the other hand, Splunk has both free and enterprise versions. The enterprise version of Splunk requires a paid license and offers additional features and support.

  2. Functionality and Features: Rsyslog is primarily a log management tool that focuses on collecting, processing, and forwarding log messages. It provides a flexible and customizable framework for log processing. Splunk, on the other hand, is a full-fledged log analysis and visualization platform. It not only collects and processes logs but also enables advanced search, correlation, and visualization of log data. Splunk also offers machine learning capabilities for log analysis.

  3. Scalability and Performance: Rsyslog is lightweight and highly scalable, making it suitable for small to medium-sized log management deployments. It can handle a high volume of log messages efficiently. On the other hand, Splunk is designed to handle large-scale log data and can process and index logs in real-time. It offers distributed architecture and can scale horizontally to handle massive log volumes.

  4. User Interface and Visualization: Rsyslog does not have a dedicated graphical user interface (GUI) for log analysis and visualization. It relies on command-line tools and configuration files for log processing. Splunk, on the other hand, provides a user-friendly web-based interface with interactive dashboards and visualizations. It allows users to create custom dashboards, reports, and alerts for log analysis.

  5. Data Source and Integration: Rsyslog primarily focuses on log files generated by systems and applications. It supports various log formats and protocols for log collection. Splunk, in addition to log files, can collect and analyze data from various other sources such as databases, APIs, and network devices. It provides extensive integration capabilities and supports a wide range of data sources.

  6. Community and Support: Rsyslog has a vibrant open-source community that actively contributes to its development and provides support through forums and mailing lists. It also has extensive documentation available for users. Splunk, being a commercial tool, offers official support and documentation through its customer support channels. It also has a user community and various resources available for troubleshooting and learning.

In summary, Rsyslog is an open-source log management tool with a focus on log collection and forwarding, while Splunk is a commercial log analysis and visualization platform with advanced features and scalability options.

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Detailed Comparison

Splunk
Splunk
Rsyslog
Rsyslog

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

It offers high-performance, great security features and a modular design. It is able to accept inputs from a wide variety of sources, transform them, and output to the results to diverse destinations.

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
Multi-threading; TCP, SSL, TLS, RELP; MySQL, PostgreSQL, Oracle and more; Filter any part of syslog message;
Statistics
GitHub Stars
-
GitHub Stars
2.2K
GitHub Forks
-
GitHub Forks
700
Stacks
773
Stacks
37
Followers
1.0K
Followers
75
Votes
20
Votes
0
Pros & Cons
Pros
  • 3
    Alert system based on custom query results
  • 3
    API for searching logs, running reports
  • 2
    Ability to style search results into reports
  • 2
    Query engine supports joining, aggregation, stats, etc
  • 2
    Dashboarding on any log contents
Cons
  • 1
    Splunk query language rich so lots to learn
No community feedback yet
Integrations
No integrations available
Oracle
Oracle
PostgreSQL
PostgreSQL
MySQL
MySQL

What are some alternatives to Splunk, Rsyslog?

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.

Graylog

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.

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.

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