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

Rsyslog vs Scalyr

OverviewComparisonAlternatives

Overview

Scalyr
Scalyr
Stacks40
Followers59
Votes12
Rsyslog
Rsyslog
Stacks37
Followers75
Votes0
GitHub Stars2.2K
Forks700

Rsyslog vs Scalyr: What are the differences?

What is 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.

What is Scalyr? Cloud-based log aggregation, server monitoring, and real-time analysis tool. Scalyr is log search and management so fast you actually use it. Custom dashboards, graphs, alerts and log parsers allow you to monitor what's important to you. We're proud to serve customers like Business Insider, Opendoor, and Grab.

Rsyslog and Scalyr belong to "Log Management" category of the tech stack.

Some of the features offered by Rsyslog are:

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

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

  • Remote log monitoring
  • log aggregation
  • real-time reporting

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.

According to the StackShare community, Scalyr has a broader approval, being mentioned in 14 company stacks & 9 developers stacks; compared to Rsyslog, which is listed in 4 company stacks and 4 developer stacks.

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Detailed Comparison

Scalyr
Scalyr
Rsyslog
Rsyslog

Scalyr is log search and management so fast you actually use it. Custom dashboards, graphs, alerts and log parsers allow you to monitor what's important to you. We're proud to serve customers like Business Insider, Opendoor, and Grab.

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.

Remote log monitoring; log aggregation; real-time reporting; custom alerts; custom dashboards; custom log parsers; user permissions; audit trails; log search and drill-down; custom metrics
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
40
Stacks
37
Followers
59
Followers
75
Votes
12
Votes
0
Pros & Cons
Pros
  • 7
    Speed of queries
  • 4
    Blazing fast logs search
  • 1
    Simple usage
No community feedback yet
Integrations
HipChat
HipChat
Rackspace Cloud Servers
Rackspace Cloud Servers
Docker
Docker
Redis
Redis
Kubernetes
Kubernetes
Amazon Redshift
Amazon Redshift
Amazon RDS
Amazon RDS
PostgreSQL
PostgreSQL
Apache HTTP Server
Apache HTTP Server
MySQL
MySQL
Oracle
Oracle
PostgreSQL
PostgreSQL
Splunk
Splunk
MySQL
MySQL

What are some alternatives to Scalyr, 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.

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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