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rsyslog VS .NET for Apache Spark

Compare rsyslog VS .NET for Apache Spark and see what are their differences

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  3. » Reviews
  4. » Alternatives

rsyslog logo rsyslog

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

.NET for Apache Spark logo .NET for Apache Spark

.NET for Apache Spark™ provides C# and F# language bindings for the Apache Spark distributed data analytics engine. Supported on Linux, macOS, and Windows.
  • rsyslog Landing page
    Landing page //
    2023-10-01
  • .NET for Apache Spark Landing page
    Landing page //
    2023-05-23

rsyslog features and specs

  • High Performance
    Rsyslog is designed for high performance, capable of processing thousands of messages per second and efficiently handling large volumes of log data.
  • Modular Architecture
    Its modular architecture allows for the addition of various plugins and modules to extend functionality and customize the logging system as needed.
  • Advanced Filtering
    Rsyslog offers advanced filtering capabilities, using both simple and complex filters to fine-tune which logs are collected and where they are sent.
  • Network Support
    It has strong support for remote logging via protocols such as TCP, UDP, and RELP, making it a robust solution for centralized logging.
  • Reliability
    Features such as disk-assisted queues and failover actions ensure that log messages are not lost, improving overall reliability.
  • Compatibility
    Rsyslog is compatible with existing syslog implementations and can drop-in replace older syslog daemons without significant changes.
  • Open Source
    Being open-source software, it is freely available for use and modification, supported by an active community.

Possible disadvantages of rsyslog

  • Complex Configuration
    The configuration syntax of rsyslog can be complex and unintuitive, requiring a steep learning curve for beginners.
  • Documentation Quality
    While comprehensive, the documentation can sometimes be difficult to navigate and understand, which might pose challenges for new users.
  • Resource Consumption
    Although efficient, rsyslog can be resource-intensive in certain configurations, potentially impacting system performance if not properly optimized.
  • Dependency Management
    Managing dependencies for various modules and plugins can be cumbersome and may require additional effort to ensure compatibility.
  • Version Inconsistency
    Different distributions might include various versions of rsyslog, leading to inconsistencies in features and behaviors across environments.

.NET for Apache Spark features and specs

No features have been listed yet.

rsyslog videos

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[LINUX] #11 Rsyslog Server Log Analyzer e Mysql

More videos:

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

.NET for Apache Spark videos

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Category Popularity

0-100% (relative to rsyslog and .NET for Apache Spark)

rsyslog

.NET for Apache Spark

Monitoring Tools
100 100%
Monitoring Tools
0% 0
PHP Web Framework
0 0%
PHP Web Framework
100% 100
Log Management
100 100%
Log Management
0% 0
Data Integration
0 0%
Data Integration
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 .NET for Apache Spark

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

.NET for Apache Spark Reviews

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Social recommendations and mentions

Based on our record, .NET for Apache Spark seems to be more popular. It has been mentiond 3 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.

.NET for Apache Spark mentions (3)

  • Debug dotnet Spark using Databricks-connect
    I assume you are talking about this https://dotnet.microsoft.com/en-us/apps/data/spark. Source: over 2 years ago
  • Microsoft Announces new Scalable Machine Learning Library for .NET
    Good question! The API and the authoring experience is .NET, but the backend is Apache Spark which is built on the JVM. We use the .NET for Apache Spark to do the parallization. Source: almost 3 years ago
  • Microsoft Announces new Scalable Machine Learning Library for .NET
    Yes that's correct. SynapseML builds on top of the Apache Spark for .NET project which provides .NET support for the Apache Spark distributed computing framework. Apache Spark is written in Scala (a language on the JVM) but has language bindings in Python, R, .NET and other languages. This release adds full .NET language support for all of the models and learners in the SynapseML library so you can author... Source: almost 3 years ago

What are some alternatives?

When comparing rsyslog and .NET for Apache Spark, you can also consider the following products

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

Apache Flume - Apache Flume is a distributed, reliable, and available service for efficiently collecting, aggregating, and moving large amounts of log data

Wazuh - Open Source Host and Endpoint Security

Vertica - Vertica is a grid-based, column-oriented database designed to manage large, fast-growing volumes of...

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

Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

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