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Confluent VS StreamSets

Compare Confluent VS StreamSets 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.

StreamSets logo StreamSets

StreamSets provides Continuous Ingest technology for the next generation of big data applications.
  • Confluent Landing page
    Landing page //
    2023-10-22
  • StreamSets Landing page
    Landing page //
    2023-09-13

Confluent videos

+ Add

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?😩

StreamSets videos

+ Add

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 Confluent and StreamSets)

Confluent

StreamSets

Stream Processing
100 100%
Stream Processing
0% 0
DevOps Tools
0 0%
DevOps Tools
100% 100
Big Data
100 100%
Big Data
0% 0
Continuous Integration And Delivery
0 0%
Continuous Integration And Delivery
100% 100

User comments

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

Based on our record, StreamSets should be more popular than Confluent. 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.

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

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: about 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: over 2 years ago

What are some alternatives?

When comparing Confluent and StreamSets, 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.

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

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

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

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

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

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