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

Fluentd vs Logsene vs Logstash

OverviewComparisonAlternatives

Overview

Sematext
Sematext
Stacks18
Followers31
Votes44
Logstash
Logstash
Stacks12.3K
Followers8.8K
Votes103
GitHub Stars14.7K
Forks3.5K
Fluentd
Fluentd
Stacks630
Followers688
Votes39
GitHub Stars13.4K
Forks1.4K

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Detailed Comparison

Sematext
Sematext
Logstash
Logstash
Fluentd
Fluentd

Sematext pulls together performance monitoring, logs, user experience and synthetic monitoring that tools organizations need to troubleshoot performance issues faster.

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.

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.

Available in the Cloud and On Premises; Infrastructure Monitoring; Application Performance Monitoring; Log Management; Real User Monitoring; Synthetic Monitoring; Container/Docker/Kubernetes Monitoring; Server/VM Monitoring; Process Monitoring; Inventory Monitoring; Exposes Elasticsearch API; Includes Kibana; Can be used with Grafana; Ability to correlate logs, metrics, and events; Alerting, Anomaly Detection; Integrations with numerous ChatOps services; Ship data with Logstash, Syslog, Fluentd, Beats, Logagent, etc.; Multi-user and RBAC support; Powerful search and filter functionality; Custom tags
Centralize data processing of all types;Normalize varying schema and formats;Quickly extend to custom log formats;Easily add plugins for custom data source
Open source; Flexible; Minimum resources; Reliable
Statistics
GitHub Stars
-
GitHub Stars
14.7K
GitHub Stars
13.4K
GitHub Forks
-
GitHub Forks
3.5K
GitHub Forks
1.4K
Stacks
18
Stacks
12.3K
Stacks
630
Followers
31
Followers
8.8K
Followers
688
Votes
44
Votes
103
Votes
39
Pros & Cons
Pros
  • 5
    Easy to set up
  • 5
    ECS integration
  • 5
    Great filtering and grouping
  • 5
    Vercel integration
  • 5
    Centralized log management
Pros
  • 69
    Free
  • 18
    Easy but powerful filtering
  • 12
    Scalable
  • 2
    Kibana provides machine learning based analytics to log
  • 1
    Great to meet GDPR goals
Cons
  • 4
    Memory-intensive
  • 1
    Documentation difficult to use
Pros
  • 11
    Open-source
  • 10
    Great for Kubernetes node container log forwarding
  • 9
    Easy
  • 9
    Lightweight
Integrations
Cloud Foundry
Cloud Foundry
Cassandra
Cassandra
PagerDuty
PagerDuty
Solr
Solr
Apache Spark
Apache Spark
Azure Kubernetes Service
Azure Kubernetes Service
Ruby
Ruby
Elasticsearch
Elasticsearch
GitHub
GitHub
NGINX
NGINX
Kibana
Kibana
Elasticsearch
Elasticsearch
Beats
Beats
No integrations available

What are some alternatives to Sematext, Logstash, 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.

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.

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.

LogDNA

LogDNA

The easiest log management system you will ever use! LogDNA is a cloud-based log management system that allows engineering and devops to aggregate all system and application logs into one efficient platform. Save, store, tail and search app

AWS CloudTrail

AWS CloudTrail

With CloudTrail, you can get a history of AWS API calls for your account, including API calls made via the AWS Management Console, AWS SDKs, command line tools, and higher-level AWS services (such as AWS CloudFormation). The AWS API call history produced by CloudTrail enables security analysis, resource change tracking, and compliance auditing. The recorded information includes the identity of the API caller, the time of the API call, the source IP address of the API caller, the request parameters, and the response elements returned by the AWS service.

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