Software Alternatives & Reviews

Apache Beam VS Amazon SNS

Compare Apache Beam VS Amazon SNS and see what are their differences

Apache Beam logo Apache Beam

Apache Beam provides an advanced unified programming model to implement batch and streaming data processing jobs.

Amazon SNS logo Amazon SNS

Fully managed pub/sub messaging for microservices, distributed systems, and serverless applications
  • Apache Beam Landing page
    Landing page //
    2022-03-31
  • Amazon SNS Landing page
    Landing page //
    2023-04-21

Apache Beam videos

How to Write Batch or Streaming Data Pipelines with Apache Beam in 15 mins with James Malone

More videos:

  • Review - Best practices towards a production-ready pipeline with Apache Beam
  • Review - Streaming data into Apache Beam with Kafka

Amazon SNS videos

No Amazon SNS videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Apache Beam and Amazon SNS)
Big Data
100 100%
0% 0
Push Notifications
0 0%
100% 100
Data Dashboard
100 100%
0% 0
Data Integration
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 Apache Beam and Amazon SNS

Apache Beam Reviews

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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

Social recommendations and mentions

Based on our record, Amazon SNS should be more popular than Apache Beam. It has been mentiond 54 times since March 2021. 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.

Apache Beam mentions (14)

  • Ask HN: Does (or why does) anyone use MapReduce anymore?
    The "streaming systems" book answers your question and more: https://www.oreilly.com/library/view/streaming-systems/9781491983867/. It gives you a history of how batch processing started with MapReduce, and how attempts at scaling by moving towards streaming systems gave us all the subsequent frameworks (Spark, Beam, etc.). As for the framework called MapReduce, it isn't used much, but its descendant... - Source: Hacker News / 3 months ago
  • How do Streaming Aggregation Pipelines work?
    Apache Beam is one of many tools that you can use. Source: 5 months ago
  • Real Time Data Infra Stack
    Apache Beam: Streaming framework which can be run on several runner such as Apache Flink and GCP Dataflow. - Source: dev.to / over 1 year ago
  • Google Cloud Reference
    Apache Beam: Batch/streaming data processing 🔗Link. - Source: dev.to / over 1 year ago
  • Composer out of resources - "INFO Task exited with return code Negsignal.SIGKILL"
    What you are looking for is Dataflow. It can be a bit tricky to wrap your head around at first, but I highly suggest leaning into this technology for most of your data engineering needs. It's based on the open source Apache Beam framework that originated at Google. We use an internal version of this system at Google for virtually all of our pipeline tasks, from a few GB, to Exabyte scale systems -- it can do it all. Source: over 1 year ago
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Amazon SNS mentions (54)

  • 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 / 4 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 / 7 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 / 9 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 / 9 months ago
  • Debugging SQS subscription issues to topics
    The key service that publishes messages to its subscribers is Simple Notification Service (SNS). We can add multiple different subscribers to a topic, for example, email addresses, phone numbers, or SQS queues. - Source: dev.to / 10 months ago
View more

What are some alternatives?

When comparing Apache Beam and Amazon SNS, you can also consider the following products

Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.

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

Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.

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.

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

AWS Lambda - Automatic, event-driven compute service