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

Devo vs Rsyslog

OverviewComparisonAlternatives

Overview

Rsyslog
Rsyslog
Stacks37
Followers75
Votes0
GitHub Stars2.2K
Forks700
Devo
Devo
Stacks11
Followers19
Votes0

Rsyslog vs Devo: What are the differences?

Rsyslog: A high-performance system for log processing. 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; Devo: * The data analytics platform that unlocks the full value of machine data*. It delivers real-time operational and business value from analytics on streaming and historical data to operations, IT, security and business teams at the world’s largest organizations.

Rsyslog and Devo can be categorized as "Log Management" tools.

Some of the features offered by Rsyslog are:

  • Multi-threading
  • TCP, SSL, TLS, RELP
  • MySQL, PostgreSQL, Oracle and more

On the other hand, Devo provides the following key features:

  • Scalable data analysis tool
  • Fast data ingestion
  • Fast real-time queries on Big Data

Rsyslog is an open source tool with 1.04K GitHub stars and 419 GitHub forks. Here's a link to Rsyslog's open source repository on GitHub.

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Detailed Comparison

Rsyslog
Rsyslog
Devo
Devo

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.

It delivers real-time operational and business value from analytics on streaming and historical data to operations, IT, security and business teams at the world’s largest organizations.

Multi-threading; TCP, SSL, TLS, RELP; MySQL, PostgreSQL, Oracle and more; Filter any part of syslog message;
Scalable data analysis tool; Fast data ingestion; Fast real-time queries on Big Data; IT Operations; Security Operations; Log Management; IoT Analytics; Business Analytics
Statistics
GitHub Stars
2.2K
GitHub Stars
-
GitHub Forks
700
GitHub Forks
-
Stacks
37
Stacks
11
Followers
75
Followers
19
Votes
0
Votes
0
Integrations
Oracle
Oracle
PostgreSQL
PostgreSQL
Splunk
Splunk
MySQL
MySQL
Amazon WorkSpaces
Amazon WorkSpaces
Perl
Perl
Wildfly
Wildfly
Lua
Lua
Nagios
Nagios
Oracle
Oracle
Linux
Linux
Microsoft Azure
Microsoft Azure
MongoDB
MongoDB
Python
Python

What are some alternatives to Rsyslog, Devo?

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.

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.

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.

ELK

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

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.

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