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Confluent VS Apache Flume

Compare Confluent VS Apache Flume and see what are their differences

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

Confluent logo Confluent

Confluent offers a real-time data platform built around Apache Kafka.

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 Landing page
    Landing page //
    2023-10-22
  • Apache Flume Landing page
    Landing page //
    2018-09-29

Confluent videos

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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?😩

Apache Flume videos

No Apache Flume videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Confluent and Apache Flume)

Confluent

Apache Flume

Stream Processing
100 100%
Stream Processing
0% 0
Big Data
81 81%
Big Data
19% 19
Log Management
0 0%
Log Management
100% 100
Data Management
100 100%
Data Management
0% 0

User comments

Share your experience with using Confluent and Apache Flume. For example, how are they different and which one is better?
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Social recommendations and mentions

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

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

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 1 year ago

What are some alternatives?

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

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

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

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

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

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

PieSync - Seamless two-way sync between your CRM, marketing apps and Google in no time

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