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

Fluentd vs Splunk Enterprise

OverviewComparisonAlternatives

Overview

Fluentd
Fluentd
Stacks630
Followers688
Votes39
GitHub Stars13.4K
Forks1.4K
Splunk Enterprise
Splunk Enterprise
Stacks116
Followers114
Votes0

Fluentd vs Splunk Enterprise: What are the differences?

  1. Deployment and Cost: Fluentd is an open-source platform that is free to use and deploy on various systems, allowing for cost-effectiveness. On the other hand, Splunk Enterprise is a commercial tool that requires licensing fees, making it more costly for organizations.

  2. Ease of Use and Learning Curve: Fluentd is considered to have a relatively steeper learning curve due to its high configurability and flexibility. In contrast, Splunk Enterprise provides a more user-friendly interface and requires less technical expertise to operate effectively.

  3. Scalability and Performance: Fluentd is known for its scalability and can efficiently handle a high volume of data streams and logs. Splunk Enterprise, while scalable, may face performance issues when dealing with extensive data sets, especially in complex data analysis scenarios.

  4. Community Support and Integration: Fluentd has a strong community backing, offering a wide range of plugins and integrations with various data sources and systems. Splunk Enterprise also provides integration options, but its community support may not be as robust as Fluentd's.

  5. Real-Time Data Processing: Fluentd excels in real-time data processing, offering fast and efficient log collection, parsing, and forwarding capabilities. Splunk Enterprise is capable of real-time data analysis as well, but Fluentd may be more optimized for immediate data processing tasks.

  6. Security and Compliance Features: Splunk Enterprise offers advanced security features and compliance support, making it a preferred choice for organizations with strict security requirements and regulatory compliance needs. Fluentd may lack some of the advanced security functionalities provided by Splunk Enterprise.

In Summary, Fluentd and Splunk Enterprise offer distinct advantages and limitations in terms of deployment cost, ease of use, scalability, community support, real-time data processing, and security features.

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Detailed Comparison

Fluentd
Fluentd
Splunk Enterprise
Splunk Enterprise

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.

Splunk Enterprise delivers massive scale and speed to give you the real-time insights needed to boost productivity, security, profitability and competitiveness.

Open source; Flexible; Minimum resources; Reliable
Real-time visibility; Data Source Agnostic; AI & Machine Learning
Statistics
GitHub Stars
13.4K
GitHub Stars
-
GitHub Forks
1.4K
GitHub Forks
-
Stacks
630
Stacks
116
Followers
688
Followers
114
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, Splunk Enterprise?

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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