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Google Cloud Pub/Sub

Google Cloud Pub/Sub

Overview

What is Google Cloud Pub/Sub?

Google offers Cloud Pub/Sub, a managed message oriented middleware supporting many-to-many asynchronous messaging between applications.

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Recent Reviews

Reliable Pub/Sub Vendor

10 out of 10
October 26, 2020
Google Cloud Pub/Sub is used for processing scheduled tasks, sending notifications to clients and other background job execution. It helps …
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Awards

Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards

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Product Details

What is Google Cloud Pub/Sub?

Google Cloud Pub/Sub Technical Details

Operating SystemsUnspecified
Mobile ApplicationNo

Frequently Asked Questions

Google offers Cloud Pub/Sub, a managed message oriented middleware supporting many-to-many asynchronous messaging between applications.

Reviewers rate Support Rating highest, with a score of 9.8.

The most common users of Google Cloud Pub/Sub are from Enterprises (1,001+ employees).
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Comparisons

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Reviews and Ratings

(23)

Attribute Ratings

Reviews

(1-7 of 7)
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Cézar Augusto Nascimento e Silva | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
  • Data Streaming
  • Even Sourcing
  • Protobuf message format
  • Scalability
  • Easy to Use
  • Observability
  • Integrated Dead Letter Queue (DLQ) functionality
  • Deliver Once (idempotency) - currently in preview
  • Vendor locked to Google
Score 9 out of 10
Vetted Review
Verified User
Incentivized
  • With a pub/sub architecture the consumer is decoupled in time from the publisher i.e. if the consumer goes down, it can replay any events that occurred during its downtime.
  • It also allows consumer to throttle and batch incoming data providing much needed flexibility while working with multiple types of data sources
  • A simple and easy to use UI on cloud console for setup and debugging
  • It enables event-driven architectures and asynchronous parallel processing, while improving performance, reliability and scalability
  • It is limited to work with the same platform but with different datasets at the same time, you must request a prior security authentication.
  • It can sometimes lead to unexpected charges, as Pub/Sub will automatically keep on retrying messages continuously, even if failures are due to permanent code-level issues.
  • Message re-deliveries don't apply for ingested services like with Python based client. Push messages tried to be delivered immediately and if your service is busy dealing with some other task, it won't be done OR goes into a queue
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