Software Alternatives & Reviews

Confluent VS Google Cloud Pub/Sub

Compare Confluent VS Google Cloud Pub/Sub and see what are their differences

Confluent logo Confluent

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

Google Cloud Pub/Sub logo Google Cloud Pub/Sub

Cloud Pub/Sub is a flexible, reliable, real-time messaging service for independent applications to publish & subscribe to asynchronous events.
  • Confluent Landing page
    Landing page //
    2023-10-22
  • Google Cloud Pub/Sub Landing page
    Landing page //
    2023-03-23

Confluent videos

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?😩

Google Cloud Pub/Sub videos

No Google Cloud Pub/Sub videos yet. You could help us improve this page by suggesting one.

+ Add video

Category Popularity

0-100% (relative to Confluent and Google Cloud Pub/Sub)
Stream Processing
51 51%
49% 49
Big Data
79 79%
21% 21
Data Integration
0 0%
100% 100
Data Management
100 100%
0% 0

User comments

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Social recommendations and mentions

Based on our record, Google Cloud Pub/Sub seems to be a lot more popular than Confluent. While we know about 15 links to Google Cloud Pub/Sub, we've tracked only 1 mention of 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

Google Cloud Pub/Sub mentions (15)

  • Event-Driven Architecture 101
    Secondly, Go is incredibly easy to learn and in my opinion, maintain. This means that if you're a growing company and expect to onboard new teams and team members, having Go as a basis for your systems should mean that new engineers can get up to speed quickly.  Below is a small sample application that can connect to Google PubSub, subscribe to a topic, send an event and then clean up. In total, its 82 lines of... - Source: dev.to / 7 months ago
  • Top 6 message queues for distributed architectures
    Google Cloud Pub/Sub is a fully-managed, globally scalable and secure queue provided by Google Cloud for asynchronous processing messages. Cloud Pub/Sub has many of the same advantages and disadvantages as SQS due to also being cloud hosted. It has a free and paid tier. - Source: dev.to / 11 months ago
  • Job Scheduling on Google Cloud Platform
    Cloud Pub/Sub: A global messaging service for event-driven architectures. - Source: dev.to / about 1 year ago
  • Effortlessly Scale Your Applications with FaaS: Learn How Functions as a Service Can Help You Grow and Thrive
    Google Cloud Functions is a FaaS offering from Google Cloud Platform (GCP). It allows developers to run their code in response to events, such as changes in a database or the arrival of a message in a Pub/Sub topic. Like AWS Lambda, Google Cloud Functions can be used to build a variety of applications, including serverless websites, data processing pipelines, and real-time data streams. - Source: dev.to / over 1 year ago
  • Mixing GCloud and F#
    That gets triggered when a Pub/Sub topic is fired (from the webhook function). - Source: dev.to / over 1 year ago
View more

What are some alternatives?

When comparing Confluent and Google Cloud Pub/Sub, 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 Kafka - Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.

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.

RabbitMQ - RabbitMQ is an open source message broker software.

Azure Stream Analytics - Azure Stream Analytics offers real-time stream processing in the cloud.