Software Alternatives, Accelerators & Startups

rsyslog VS Hadoop

Compare rsyslog VS Hadoop and see what are their differences

rsyslog logo rsyslog

Rsyslog is an enhanced syslogd supporting, among others, MySQL, PostgreSQL, failover log...

Hadoop logo Hadoop

Open-source software for reliable, scalable, distributed computing
  • rsyslog Landing page
    Landing page //
    2023-10-01
  • Hadoop Landing page
    Landing page //
    2021-09-17

rsyslog videos

[LINUX] #11 Rsyslog Server Log Analyzer e Mysql

More videos:

  • Review - Ubuntu: How can I configure logrotate without having `/etc/logrotate.d/rsyslog`?

Hadoop videos

What is Big Data and Hadoop?

More videos:

  • Review - Product Ratings on Customer Reviews Using HADOOP.
  • Tutorial - Hadoop Tutorial For Beginners | Hadoop Ecosystem Explained in 20 min! - Frank Kane

Category Popularity

0-100% (relative to rsyslog and Hadoop)
Monitoring Tools
100 100%
0% 0
Databases
0 0%
100% 100
Log Management
100 100%
0% 0
Big Data
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare rsyslog and Hadoop

rsyslog Reviews

Best Log Management Tools: Useful Tools for Log Management, Monitoring, Analytics, and More
Rsyslog is a blazing-fast system built for log processing. It offers great performance benchmarks, tight security features, and a modular design for custom modifications. Rsyslog has grown from a singular logging system to be able to parse and sort logs from an extended range of sources, which it can then transform and provide an output to be used in dedicated log analysis...
Source: stackify.com

Hadoop Reviews

A List of The 16 Best ETL Tools And Why To Choose Them
Companies considering Hadoop should be aware of its costs. A significant portion of the cost of implementing Hadoop comes from the computing power required for processing and the expertise needed to maintain Hadoop ETL, rather than the tools or storage themselves.
16 Top Big Data Analytics Tools You Should Know About
Hadoop is an Apache open-source framework. Written in Java, Hadoop is an ecosystem of components that are primarily used to store, process, and analyze big data. The USP of Hadoop is it enables multiple types of analytic workloads to run on the same data, at the same time, and on a massive scale on industry-standard hardware.
5 Best-Performing Tools that Build Real-Time Data Pipeline
Hadoop is an open-source framework that allows to store and process big data in a distributed environment across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than relying on hardware to deliver high-availability, the library itself is...

Social recommendations and mentions

Based on our record, Hadoop seems to be more popular. It has been mentiond 16 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

rsyslog mentions (0)

We have not tracked any mentions of rsyslog yet. Tracking of rsyslog recommendations started around Mar 2021.

Hadoop mentions (16)

View more

What are some alternatives?

When comparing rsyslog and Hadoop, you can also consider the following products

Fluentd - Fluentd is a cross platform open source data collection solution originally developed at Treasure Data.

Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

logstash - logstash is a tool for managing events and logs.

PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.

Fortinet FortiAnalyzer - Fortinet FortiAnalyzer is a powerful product for Security Fabric Analytics and Automation.

Apache Cassandra - The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.