Software Alternatives & Reviews

Apache Flume VS Confluent

Compare Apache Flume VS Confluent and see what are their differences

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

Confluent logo Confluent

Confluent offers a real-time data platform built around Apache Kafka.
  • Apache Flume Landing page
    Landing page //
    2018-09-29
  • Confluent Landing page
    Landing page //
    2023-10-22

Apache Flume videos

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Confluent videos

1. Intro | Monitoring Kafka in Confluent Control Center

More videos:

  • Review - Jason Gustafson, Confluent: Revisiting Exactly One Semantics (EOS) | Bay Area Apache Kafka® Meetup
  • Review - CLEARER SKIN AFTER 1 USE‼️| Ancient Cosmetics Update✨| CONFLUENT & RETICULATED PAPILLOMATOSIS CURE?😩

Category Popularity

0-100% (relative to Apache Flume and Confluent)
Big Data
18 18%
82% 82
Stream Processing
0 0%
100% 100
Log Management
100 100%
0% 0
Monitoring Tools
100 100%
0% 0

User comments

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Social recommendations and mentions

Confluent might be a bit more popular than Apache Flume. We know about 1 link to it since March 2021 and only 1 link to Apache Flume. 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 / about 1 year ago

Confluent mentions (1)

  • Spring Boot Event Streaming with Kafka
    We’re going to setup a Kafka cluster using confluent.io, create a producer and consumer as well as enhance our behavior driven tests to include the new interface. We’re going to update our helm chart so that the updates are seamless to Kubernetes and we’re going to leverage our observability stack to propagate the traces in the published messages. Source: about 2 years ago

What are some alternatives?

When comparing Apache Flume and Confluent, you can also consider the following products

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

Amazon Kinesis - Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.

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

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

Spark Streaming - Spark Streaming makes it easy to build scalable and fault-tolerant streaming applications.

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