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Apache Flume VS .NET for Apache Spark

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

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Contents:
  1. » Base Details
  2. » Reviews
  3. » Alternatives

Apache Flume logo Apache Flume

Apache Flume is a distributed, reliable, and available service for efficiently collecting, aggregating, and moving large amounts of log 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.
  • Apache Flume Landing page
    Landing page //
    2018-09-29
  • .NET for Apache Spark Landing page
    Landing page //
    2023-05-23

Category Popularity

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

Apache Flume

.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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Social recommendations and mentions

Based on our record, .NET for Apache Spark should be more popular than Apache Flume. 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.

Apache Flume mentions (1)

  • 7 Open-Source Log Management Tools that you may consider in 2023
    Apache Flume is an open-source log management tool designed to efficiently collect, aggregate, and transport large volumes of log data from various sources to a centralized data store, such as HDFS or Hbase. It excels in handling large amounts of log data in real-time and is highly scalable, able to handle the load from multiple servers, network devices, and applications. - Source: dev.to / over 2 years ago

.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 Apache Flume 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.

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

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

Splunk - Splunk's operational intelligence platform helps unearth intelligent insights from machine data.

Printopia - Printopia is a wireless printing application that allows users to print anything directly from their iPhone or iPad.

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

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