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

Fluentd vs Scalyr

OverviewComparisonAlternatives

Overview

Scalyr
Scalyr
Stacks40
Followers59
Votes12
Fluentd
Fluentd
Stacks630
Followers688
Votes39
GitHub Stars13.4K
Forks1.4K

Fluentd vs Scalyr: What are the differences?

Fluentd: Unified logging layer. 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; 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.

Fluentd and Scalyr can be categorized as "Log Management" tools.

Some of the features offered by Fluentd are:

  • Open source
  • Flexible
  • Minimum resources

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

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

Fluentd is an open source tool with 7.98K GitHub stars and 930 GitHub forks. Here's a link to Fluentd's open source repository on GitHub.

9GAG, Geocodio, and Repro are some of the popular companies that use Fluentd, whereas Scalyr is used by Codecademy, Property With Potential, and Zola. Fluentd has a broader approval, being mentioned in 64 company stacks & 18 developers stacks; compared to Scalyr, which is listed in 11 company stacks and 3 developer stacks.

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Detailed Comparison

Scalyr
Scalyr
Fluentd
Fluentd

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.

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.

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
Open source; Flexible; Minimum resources; Reliable
Statistics
GitHub Stars
-
GitHub Stars
13.4K
GitHub Forks
-
GitHub Forks
1.4K
Stacks
40
Stacks
630
Followers
59
Followers
688
Votes
12
Votes
39
Pros & Cons
Pros
  • 7
    Speed of queries
  • 4
    Blazing fast logs search
  • 1
    Simple usage
Pros
  • 11
    Open-source
  • 10
    Great for Kubernetes node container log forwarding
  • 9
    Easy
  • 9
    Lightweight
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
No integrations available

What are some alternatives to Scalyr, Fluentd?

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.

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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