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Apache Flume VS StreamSets

Compare Apache Flume VS StreamSets and see what are their differences

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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

StreamSets logo StreamSets

StreamSets provides Continuous Ingest technology for the next generation of big data applications.
  • Apache Flume Landing page
    Landing page //
    2018-09-29
  • StreamSets Landing page
    Landing page //
    2023-09-13

Apache Flume videos

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

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StreamSets videos

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What is StreamSets Transformer?

More videos:

  • Review - Making Apache Kafka Dead Easy With StreamSets | DZone.com Webinar
  • Review - Power Your Delta Lake with Streaming Transactional Changes - Rupal Shah (StreamSets)

Category Popularity

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

Apache Flume

StreamSets

Big Data
100 100%
Big Data
0% 0
DevOps Tools
0 0%
DevOps Tools
100% 100
Log Management
100 100%
Log Management
0% 0
Continuous Integration And Delivery
0 0%
Continuous Integration And Delivery
100% 100

User comments

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Social recommendations and mentions

Based on our record, StreamSets should be more popular than Apache Flume. It has been mentiond 2 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 1 year ago

StreamSets mentions (2)

  • Best way to automate JSON to CSV/Relational Tables at scale? Anyone have used Flexter?
    If you would like to take a look at https://streamsets.com/ the Data Collector product can handle this for you as well as dynamically generate the target tables. It has a number of functions to handle your JSON no matter the complexity. However, given the dynamic nature it may benefit to touch base so please feel free to chat or message me. Source: almost 2 years ago
  • Data engineering in reality
    StreamSets offers a free tier and free option for training. You can build, run, and manage your pipelines in one place. Source: about 2 years ago

What are some alternatives?

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

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

Terraform - Tool for building, changing, and versioning infrastructure safely and efficiently.

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

Puppet Enterprise - Get started with Puppet Enterprise, or upgrade or expand.

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

Packer - Packer is an open-source software for creating identical machine images from a single source configuration.

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