Software Alternatives, Accelerators & Startups

Amazon SNS VS Google Cloud Dataproc

Compare Amazon SNS VS Google Cloud Dataproc and see what are their differences

Amazon SNS logo Amazon SNS

Fully managed pub/sub messaging for microservices, distributed systems, and serverless applications

Google Cloud Dataproc logo Google Cloud Dataproc

Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost
  • Amazon SNS Landing page
    Landing page //
    2023-04-21
  • Google Cloud Dataproc Landing page
    Landing page //
    2023-10-09

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Google Cloud Dataproc videos

Dataproc

Category Popularity

0-100% (relative to Amazon SNS and Google Cloud Dataproc)
Push Notifications
100 100%
0% 0
Data Dashboard
0 0%
100% 100
Data Integration
100 100%
0% 0
Big Data
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Amazon SNS and Google Cloud Dataproc

Amazon SNS Reviews

6 Best Notification Infrastructure for Modern Applications
Lastly, let’s not forget Simple Notification Service by Amazon, a web service that supports application-to-application (A2A) and application-to-person (A2P) communication between distributed environments, microservices, and event-driven serverless applications.
Source: geekflare.com

Google Cloud Dataproc Reviews

We have no reviews of Google Cloud Dataproc yet.
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Social recommendations and mentions

Based on our record, Amazon SNS seems to be a lot more popular than Google Cloud Dataproc. While we know about 55 links to Amazon SNS, we've tracked only 3 mentions of Google Cloud Dataproc. 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.

Amazon SNS mentions (55)

  • Event-Driven Architecture on AWS
    Event Routers: Services like Amazon SQS (A managed message queuing), Amazon SNS (A pub/sub messaging), AWS Step Functions (An orchestrate serverless workflows) and Amazon EventBridge (A serverless event bus) act as event routers, establishing the paths and flow for messages within the architecture. They enable seamless handling and distribution of events, ensuring that each message reaches its intended destination... - Source: dev.to / about 1 month ago
  • Serverless Site Health Check Notification System
    This blog details how you can use some key serverless components from AWS like Amazon Eventbridge, AWS Lambda, and Simple Notification Service to setup a system that will monitor your site (which can be running anywhere) and send emails, text messages, slack messages, and more when the reachability status of your site changes. - Source: dev.to / 6 months ago
  • WebSockets, gRPC, MQTT, and SSE - Which Real-Time Notification Method Is For You?
    Compare this to a stateless communication mechanism like Amazon SNS or other Webhook implementation where the connection is not persistent and the communication is one-way. These are intended to be used as a response to an event and inform subscribers without maintaining a continuous connection or keeping memory of previous interactions. - Source: dev.to / 8 months ago
  • Programmatically reacting to S3 bucket external access exposures
    Let's make it simple and add an SNS topic target to the rule. We can add multiple different subscribers to the topic. Any time when Access Analyzer creates a new finding, SNS can, for example, send an email or a customized Slack message. - Source: dev.to / 10 months ago
  • Receiving Slack notifications when CloudTrail logging gets turned off
    Of course, Slack is not the only way to receive notifications. EventBridge integrates with many target services, both AWS and 3rd parties. For example, we can set up email or phone text message alerts in SNS, or add a different target if business needs require. - Source: dev.to / 10 months ago
View more

Google Cloud Dataproc mentions (3)

  • Connecting IPython notebook to spark master running in different machines
    I have also a spark cluster created with google cloud dataproc. Source: about 1 year ago
  • Why we don’t use Spark
    Specifically, we heavily rely on managed services from our cloud provider, Google Cloud Platform (GCP), for hosting our data in managed databases like BigTable and Spanner. For data transformations, we initially heavily relied on DataProc - a managed service from Google to manage a Spark cluster. - Source: dev.to / about 2 years ago
  • Data processing issue
    With that, the best way to maximize processing and minimize time is to use Dataflow or Dataproc depending on your needs. These systems are highly parallel and clustered, which allows for much larger processing pipelines that execute quickly. Source: over 2 years ago

What are some alternatives?

When comparing Amazon SNS and Google Cloud Dataproc, you can also consider the following products

Amazon SQS - Amazon Simple Queue Service is a fully managed message queuing service.

Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.

OneSignal - Customer engagement platform used by over 1 million developers and marketers; the fastest and most reliable way to send mobile and web push notifications, in-app messages, emails, and SMS.

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

AWS Lambda - Automatic, event-driven compute service

HortonWorks Data Platform - The Hortonworks Data Platform is a 100% open source distribution of Apache Hadoop that is truly...