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

Fluentd vs logz.io

OverviewComparisonAlternatives

Overview

Fluentd
Fluentd
Stacks630
Followers688
Votes39
GitHub Stars13.4K
Forks1.4K
logz.io
logz.io
Stacks53
Followers54
Votes0

Fluentd vs logz.io: What are the differences?

Fluentd and logz.io are both popular tools used for log management, collection, and processing in various systems. Fluentd is an open-source data collector, while logz.io is a cloud-based logging and monitoring platform. In this comparison, we will highlight key differences between Fluentd and logz.io.

  1. Architecture: Fluentd follows a client-server architecture where data is sent to a centralized Fluentd server for processing and forwarding. On the other hand, logz.io operates on a cloud-based platform, eliminating the need for managing an infrastructure for log management, making it easier to scale and deploy.

  2. Integration: Fluentd provides a wide range of plugins and integrations with various data sources, making it flexible for different use cases. In contrast, logz.io has built-in integrations with popular platforms like AWS, Kubernetes, and others, simplifying the setup process for users.

  3. Monitoring and Visualization: While Fluentd focuses mainly on log collection and forwarding, logz.io offers advanced monitoring and visualization features with custom dashboards, alerts, and insights for better log analysis and troubleshooting.

  4. Security and Compliance: logz.io provides built-in security features like encryption, access control, and compliance certifications (such as SOC 2 Type II), making it suitable for organizations with strict security requirements. Fluentd may require additional configurations for achieving similar security standards.

  5. Pricing: Fluentd being open-source is free to use, but requires more effort in terms of setup, maintenance, and scalability. logz.io, being a cloud-based service, offers pricing plans based on usage, which can be beneficial for organizations looking for a managed log management solution without the hassle of infrastructure management.

In Summary, Fluentd and logz.io differ in architecture, integration options, monitoring capabilities, security features, and pricing models, catering to different user needs and preferences.

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Detailed Comparison

Fluentd
Fluentd
logz.io
logz.io

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.

It provides Elasticsearch, Logstash and Kibana on the cloud with alerts, unlimited scalability and free ELK apps. Index, search & visualize your data.

Open source; Flexible; Minimum resources; Reliable
-
Statistics
GitHub Stars
13.4K
GitHub Stars
-
GitHub Forks
1.4K
GitHub Forks
-
Stacks
630
Stacks
53
Followers
688
Followers
54
Votes
39
Votes
0
Pros & Cons
Pros
  • 11
    Open-source
  • 10
    Great for Kubernetes node container log forwarding
  • 9
    Easy
  • 9
    Lightweight
No community feedback yet

What are some alternatives to Fluentd, logz.io?

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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