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Confluent VS Goka

Compare Confluent VS Goka 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.

Goka logo Goka

Goka is a distributed stream processing library for Apache Kafka written in Go.
  • Confluent Landing page
    Landing page //
    2023-10-22
  • Goka Landing page
    Landing page //
    2023-09-18

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?😩

Goka videos

+ Add

2008 BMS GOKA 800cc

More videos:

  • Review - GOKA CATTLE FEED
  • Review - Best medicine for healing cracks | goka jalwatawar malam | review | usage | indication | content

Category Popularity

0-100% (relative to Confluent and Goka)

Confluent

Goka

Stream Processing
87 87%
Stream Processing
13% 13
Big Data
85 85%
Big Data
15% 15
Data Management
100 100%
Data Management
0% 0
Databases
0 0%
Databases
100% 100

User comments

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

Goka 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

Goka mentions (1)

  • Go and Kafka
    You might want to try: https://github.com/lovoo/goka -- it uses levelDB to keep state from a stream. The application we wrote in-house with goka can process (keeping state) approximately 800+ messages/sec per consumer in a consumer-group. Source: about 3 years ago

What are some alternatives?

When comparing Confluent and Goka, 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.

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

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

Tigon - Tigon is an open source real-time stream processing framework built on top of Apache Hadoop and Apache HBase.

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

Lightbend Akka Platform - Lightbend Fast Data Platform is the easy on-ramp to successful streaming Fast Data applications.

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