Software Alternatives, Accelerators & Startups
Register | Login

Fluentd VS .NET for Apache Spark

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

PlexTrac
PlexTrac is the #1 AI-powered platform for pentest reporting and threat exposure management, helping cybersecurity teams efficiently address the most critical threats and vulnerabilities. featured
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Fluentd logo Fluentd

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

.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.
  • Fluentd Landing page
    Landing page //
    2018-09-30
  • .NET for Apache Spark Landing page
    Landing page //
    2023-05-23

Fluentd features and specs

  • Open Source
    Fluentd is an open-source data collector, meaning it is free to use and has a large community of contributors and users who can provide support and plugins.
  • Unified Logging Layer
    It provides a unified logging layer that can collect, filter, and distribute logs from various sources to various destinations, simplifying log management.
  • Extensibility
    Fluentd supports a wide range of plugins for inputs, outputs, filters, and parsers, making it highly extensible and customizable to fit specific needs.
  • High Performance
    It is designed to be high-performance and can handle large volumes of logs efficiently, which is crucial for enterprise environments.
  • Flexible Configuration
    Fluentd offers flexible and straightforward configuration, allowing users to define complex data pipelines with relative ease.
  • Support for Multiple Environments
    Fluentd supports cloud, on-premises, and hybrid environments, making it versatile for various deployment scenarios.

Possible disadvantages of Fluentd

  • Complexity
    The flexibility and extensibility of Fluentd can introduce complexity, requiring a steep learning curve for new users to master the tool.
  • Resource Intensive
    Fluentd can be resource-intensive, especially when dealing with large volumes of data, which may require robust infrastructure.
  • Plugin Compatibility
    While there are many plugins available, not all of them are always up-to-date or compatible with the latest versions of Fluentd, potentially causing integration issues.
  • Maintenance Overhead
    Managing Fluentd involves continuous monitoring, updating, and maintenance to ensure optimal performance and security, which could be resource-draining.
  • Documentation Gaps
    Although there is extensive documentation, some users report that it lacks deep insights and examples for advanced configurations, requiring additional research and community support.

.NET for Apache Spark features and specs

No features have been listed yet.

Fluentd videos

+ Add

How-to Ship Logs to Grafana Loki with Promtail, FluentD & Fluent-bit

More videos:

  • Review - OpenShift Commons Briefing #72: Cloud Native Logging with Fluentd
  • Review - Fluentd, the Open Source Data Collection tool

.NET for Apache Spark videos

No .NET for Apache Spark videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

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

Fluentd

.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

Share your experience with using Fluentd and .NET for Apache Spark. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare Fluentd and .NET for Apache Spark

Fluentd Reviews

11 Best Splunk Alternatives
The CloudFront-log plugin, for example, can be used to ingest logs from Amazon CloudFront, while the elasticsearch plugin can be used to route logs to Elasticsearch. Fluentd only provides ingestion and routing services, so you'll have to develop your log management solution from the ground up. Fluentd has become a popular alternative to Logstash, transforming ELK into EFK....
Source: www.ittsystems.com
Top 15 Kafka Alternatives Popular In 2021
Inputs and outputs have inbuilt support to buffer, load balance, timeout and retry instances. It has a unified logging layer in between the data sources. There are over 5000+ companies that rely on Fluentd and approximately collect logs from over 50000+ servers. It scraps logs from sources and sends them across to services like object storage, Elasticsearch, etc. it is...
Source: www.spec-india.com
Best Log Management Tools: Useful Tools for Log Management, Monitoring, Analytics, and More
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. Fluentd’s flagship feature is an extensive library of plugins which provide extended support and functionality for anything related to log and data management within a concise developer environment.
Source: stackify.com

.NET for Apache Spark Reviews

We have no reviews of .NET for Apache Spark yet.
Be the first one to post

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.

Fluentd mentions (0)

We have not tracked any mentions of Fluentd yet. Tracking of Fluentd 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 Fluentd and .NET for Apache Spark, you can also consider the following products

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

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

Graylog - Graylog is an open source log management platform for collecting, indexing, and analyzing both structured and unstructured data.

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

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

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

Loading...