OK Log vs Rsyslog

Overview

Rsyslog

Stacks37

Followers75

Votes0

GitHub Stars2.2K

Forks700

OK Log

Stacks32

Followers13

Votes0

GitHub Stars3.0K

Forks167

OK Log vs Rsyslog: What are the differences?

Introduction: When it comes to logging, OK Log and Rsyslog are two popular solutions that offer logging capabilities. Both tools have their unique features and functionalities that cater to different logging needs.

Architecture: One key difference between OK Log and Rsyslog is their architecture. OK Log is designed with a distributed architecture that allows for easy scaling and high availability, making it suitable for large-scale log management. On the other hand, Rsyslog follows a more centralized architecture, which may be more suitable for smaller environments or when centralized log management is preferred.
Ease of Use: In terms of ease of use, OK Log is known for its simplicity and user-friendly interface, making it easy for both beginners and experienced users to navigate and configure. Conversely, Rsyslog, while powerful, can be more complex to set up and may require more technical expertise for configuration and customization.
Performance: When it comes to performance, OK Log is recognized for its high performance and efficient indexing mechanisms, which enable fast and efficient log retrieval and analysis. Rsyslog also offers good performance but may not be as optimized for handling large volumes of logs or complex query operations as OK Log.
Scalability: Another important difference is scalability. OK Log is designed to be highly scalable, allowing for seamless scaling to accommodate growing log volumes and user demands. Rsyslog, while scalable to a certain extent, may require additional configurations or plugins to achieve the same level of scalability as OK Log.
Storage Options: OK Log offers flexible storage options, including support for various storage backends such as local disk, S3, and GCS, providing users with options to choose based on their storage needs. In contrast, Rsyslog may have more limited storage options or may require additional configurations to integrate with different storage solutions.
Community and Support: The community and support around OK Log and Rsyslog can also vary. Rsyslog, being a more established and widely used logging solution, may have a larger community of users and contributors, resulting in more resources, documentation, and support available. OK Log, while still well-supported, may have a smaller community but offers dedicated support channels for users.

In Summary, OK Log and Rsyslog differ in their architecture, ease of use, performance, scalability, storage options, and community support, catering to different logging requirements and preferences.

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CLI (Node.js)

Manual

Detailed Comparison

Rsyslog	OK Log
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.	OK Log is a distributed and coördination-free log management system for big ol' clusters. It's an on-prem solution that's designed to be a sort of building block: easy to understand, easy to operate, and easy to extend.
Multi-threading; TCP, SSL, TLS, RELP; MySQL, PostgreSQL, Oracle and more; Filter any part of syslog message;	-
Statistics
GitHub Stars 2.2K	GitHub Stars 3.0K
GitHub Forks 700	GitHub Forks 167
Stacks 37	Stacks 32
Followers 75	Followers 13
Votes 0	Votes 0
Integrations
Oracle PostgreSQL Splunk MySQL	Docker

What are some alternatives to Rsyslog, OK Log?

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

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

It is a SaaS solution to manage your log data. There is nothing to install and updates are automatically applied to your Loggly subdomain.

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 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

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.

Sematext

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

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.

ELK

It is the acronym for three open source projects: Elasticsearch, Logstash, and Kibana. Elasticsearch is a search and analytics engine. Logstash is a server‑side data processing pipeline that ingests data from multiple sources simultaneously, transforms it, and then sends it to a "stash" like Elasticsearch. Kibana lets users visualize data with charts and graphs in Elasticsearch.

Sumo Logic

Cloud-based machine data analytics platform that enables companies to proactively identify availability and performance issues in their infrastructure, improve their security posture and enhance application rollouts. Companies using Sumo Logic reduce their mean-time-to-resolution by 50% and can save hundreds of thousands of dollars, annually. Customers include Netflix, Medallia, Orange, and GoGo Inflight.

Related Comparisons

OK Log vs Rsyslog: What are the differences?

Architecture: One key difference between OK Log and Rsyslog is their architecture. OK Log is designed with a distributed architecture that allows for easy scaling and high availability, making it suitable for large-scale log management. On the other hand, Rsyslog follows a more centralized architecture, which may be more suitable for smaller environments or when centralized log management is preferred.
Ease of Use: In terms of ease of use, OK Log is known for its simplicity and user-friendly interface, making it easy for both beginners and experienced users to navigate and configure. Conversely, Rsyslog, while powerful, can be more complex to set up and may require more technical expertise for configuration and customization.
Performance: When it comes to performance, OK Log is recognized for its high performance and efficient indexing mechanisms, which enable fast and efficient log retrieval and analysis. Rsyslog also offers good performance but may not be as optimized for handling large volumes of logs or complex query operations as OK Log.
Scalability: Another important difference is scalability. OK Log is designed to be highly scalable, allowing for seamless scaling to accommodate growing log volumes and user demands. Rsyslog, while scalable to a certain extent, may require additional configurations or plugins to achieve the same level of scalability as OK Log.
Storage Options: OK Log offers flexible storage options, including support for various storage backends such as local disk, S3, and GCS, providing users with options to choose based on their storage needs. In contrast, Rsyslog may have more limited storage options or may require additional configurations to integrate with different storage solutions.
Community and Support: The community and support around OK Log and Rsyslog can also vary. Rsyslog, being a more established and widely used logging solution, may have a larger community of users and contributors, resulting in more resources, documentation, and support available. OK Log, while still well-supported, may have a smaller community but offers dedicated support channels for users.

In Summary, OK Log and Rsyslog differ in their architecture, ease of use, performance, scalability, storage options, and community support, catering to different logging requirements and preferences.

OK Log vs Rsyslog

Overview