Google Cloud Pub/Sub

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Google Cloud Pub/Sub
Score 9.0 out of 10
N/A
Google offers Cloud Pub/Sub, a managed message oriented middleware supporting many-to-many asynchronous messaging between applications.N/A
Pricing
Google Cloud Pub/Sub
Editions & Modules
No answers on this topic
Offerings
Pricing Offerings
Google Cloud Pub/Sub
Free Trial
No
Free/Freemium Version
No
Premium Consulting/Integration Services
No
Entry-level Setup FeeNo setup fee
Additional Details—
More Pricing Information
Community Pulse
Google Cloud Pub/Sub
Considered Both Products
Google Cloud Pub/Sub
Chose Google Cloud Pub/Sub
Kafka looks like and ordered queue, there no deliver backoff, so if a message has a problem, it doesn't advance to the next one. Google Cloud Pub/Sub looks like more a SET of messages, and kafka like a LIST. In kafka a same message will repeat instantaneously while it is being …
Chose Google Cloud Pub/Sub
Having used Amazon Web Services SNS & SQS I can say that even if the latter may offer more features, Google Cloud Pub/Sub is easier to use. On the other hand, usage of SNS & SQS as well as documentation and troubleshooting is easier with the AWS solution.
Since we are not using …
Chose Google Cloud Pub/Sub
Google Cloud Pub/Sub as a Managed service is significantly more easy to use than a self Managed Kafka cluster. As our software was already on GCP it was a no-brainer to use Pub/Sub due to the high level of integration and ease of use with other Google Cloud Platform services.
Chose Google Cloud Pub/Sub
Compute Engine is not a direct competitor, but in fact, works well coupled with Pub/Sub.
Chose Google Cloud Pub/Sub
  • Easy to setup Publisher, Subscribers and Message Queue service
  • More Reliable and Easy Scalable with Google Managed services
  • Easily integrated with most of the data sources we typically use for Data Storage and Analysis
Chose Google Cloud Pub/Sub
Amazon SQS has no integration with google play billing whereas Google Cloud Pub/Sub had native integration with google cloud billing, Play billing.
Chose Google Cloud Pub/Sub
We considered several messaging platforms including Kafka and Kinesis but both would have required more developer work and didn't integrate as nicely with our ecosystem. RabbitMQ is another messaging platform I've researched and prototyped on; it also would have required more …
Top Pros
Top Cons
Best Alternatives
Google Cloud Pub/Sub
Small Businesses
Amazon SNS
Amazon SNS
Score 8.5 out of 10
Medium-sized Companies
Apache Kafka
Apache Kafka
Score 8.4 out of 10
Enterprises
Apache Kafka
Apache Kafka
Score 8.4 out of 10
All AlternativesView all alternatives
User Ratings
Google Cloud Pub/Sub
Likelihood to Recommend
9.4
(7 ratings)
Likelihood to Renew
10.0
(1 ratings)
Usability
10.0
(2 ratings)
Availability
10.0
(1 ratings)
Performance
10.0
(1 ratings)
Support Rating
9.8
(3 ratings)
Configurability
10.0
(1 ratings)
Product Scalability
10.0
(1 ratings)
User Testimonials
Google Cloud Pub/Sub
Likelihood to Recommend
Google
If you want to stream high volumes of data, be it for ETL streaming or event sourcing, Google Cloud Pub/Sub is your go-to tool. It's easy to learn, easy to observe its metrics and scales with ease without additional configuration so if you have more producers of consumers, all you need to do is to deploy on k8s your solutions so that you can perform autoscaling on your pods to adjust to the data volume. The DLQ is also very transparent and easy to configure. Your code will have no logic whatsoever regarding orchestrating pubsub, you just plug and play. However, if you are not in the Google Cloud Pub/Sub environment, you might have trouble or be most likely unable to use it since I think it's a product of Google Cloud.
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Pros
Google
  • 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
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Cons
Google
  • Would be nice if the queue could be extended beyond 7 days.
  • We found it a bit tricky replay unacknowledged messages when needed.
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Likelihood to Renew
Google
It serves all of our purposes in the most transparent way I can imagine, after seeing other message queueing providers, I can only attest to its quality.
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Usability
Google
It has many libraries in many languages, google provides either good guides or they're AI generated code libraries that are easy to understand. It has very good observability too.
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Reliability and Availability
Google
I have never faced a single problem in 4 years.
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Performance
Google
It's very fast, can be even better if you use protobuf.
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Support Rating
Google
They have decent documentation, but you need to pay for support. We weren't able to answer all our questions with the documentation and didn't have time to setup support before we needed it so I can't give it a higher rating but I think it tends to be a bit slow unless you're a GCP enterprise support customer.
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Alternatives Considered
Google
Having used Amazon Web Services SNS & SQS I can say that even if the latter may offer more features, Google Cloud Pub/Sub is easier to use. On the other hand, usage of SNS & SQS as well as documentation and troubleshooting is easier with the AWS solution. Since we are not using GCP only for Pub/Sub the choice depends on other variables.
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Scalability
Google
You can just plug in consumers at will and it will respond, there's no need for further configuration or introducing new concepts. You have a queue, if it's slow, you plug in more consumers to process more messages: simple as that.
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Return on Investment
Google
  • Increased Efficiency with reliable and Google managed services up all the time wit Disaster Recovery in place as well
  • Definitely Lower costs being a cloud based solution and easier to setup
  • Faster Project delivery and go to market plan for the business use cases basis this technology at the back end
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