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

Graylog vs Scalyr

OverviewComparisonAlternatives

Overview

Scalyr
Scalyr
Stacks40
Followers59
Votes12
Graylog
Graylog
Stacks595
Followers711
Votes70
GitHub Stars7.9K
Forks1.1K

Graylog vs Scalyr: What are the differences?

Developers describe Graylog as "Open source log management that actually works". 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. On the other hand, Scalyr is detailed as "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.

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

"Powerfull" is the primary reason why developers consider Graylog over the competitors, whereas "Speed of queries" was stated as the key factor in picking Scalyr.

Graylog is an open source tool with 4.9K GitHub stars and 759 GitHub forks. Here's a link to Graylog's open source repository on GitHub.

CircleCI, AppBrain, and Dial Once are some of the popular companies that use Graylog, whereas Scalyr is used by Codecademy, Property With Potential, and Zola. Graylog has a broader approval, being mentioned in 75 company stacks & 21 developers stacks; compared to Scalyr, which is listed in 11 company stacks and 3 developer stacks.

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Detailed Comparison

Scalyr
Scalyr
Graylog
Graylog

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.

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.

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
-
Statistics
GitHub Stars
-
GitHub Stars
7.9K
GitHub Forks
-
GitHub Forks
1.1K
Stacks
40
Stacks
595
Followers
59
Followers
711
Votes
12
Votes
70
Pros & Cons
Pros
  • 7
    Speed of queries
  • 4
    Blazing fast logs search
  • 1
    Simple usage
Pros
  • 19
    Open source
  • 13
    Powerfull
  • 8
    Well documented
  • 6
    Alerts
  • 5
    User authentification
Cons
  • 1
    Does not handle frozen indices at all
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
GitHub
GitHub

What are some alternatives to Scalyr, 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.

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.

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.

Splunk

Splunk

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

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