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Apache Apex VS Confluent

Compare Apache Apex VS Confluent and see what are their differences

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Apache Apex logo Apache Apex

Apache Apex is an enterprise-grade unified stream and batch processing engine.

Confluent logo Confluent

Confluent offers a real-time data platform built around Apache Kafka.
  • Apache Apex Landing page
    Landing page //
    2021-09-30
  • Confluent Landing page
    Landing page //
    2023-10-22

Apache Apex

Categories
  • Big Data
  • Data Dashboard
  • Data Warehousing
  • Big Data Analytics
Website apex.apache.org
Pricing URL-
Details $-
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Confluent

Categories
  • Big Data
  • Stream Processing
  • Data Management
  • Analytics
Website confluent.io
Pricing URL Official Confluent Pricing
Details $
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Apache Apex videos

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

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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?😩

Category Popularity

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

Apache Apex

Confluent

Big Data
15 15%
Big Data
85% 85
Stream Processing
0 0%
Stream Processing
100% 100
Data Warehousing
100 100%
Data Warehousing
0% 0
Data Dashboard
100 100%
Data Dashboard
0% 0

User comments

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Social recommendations and mentions

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

  • Spark for beginners - and you
    Streaming: Sparks Streamings's latency is at least 500ms, since it operates on micro-batches of records, instead of processing one record at a time. Native streaming tools like Storm, Apex or Flink might be better for low-latency applications. - Source: dev.to / over 2 years 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 Apex and Confluent, you can also consider the following products

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

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

Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.

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

Apache Storm - Apache Storm is a free and open source distributed realtime computation system.

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

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