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Amazon SNS VS Spark Streaming

Compare Amazon SNS VS Spark Streaming and see what are their differences

Amazon SNS logo Amazon SNS

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

Spark Streaming logo Spark Streaming

Spark Streaming makes it easy to build scalable and fault-tolerant streaming applications.
  • Amazon SNS Landing page
    Landing page //
    2023-04-21
  • Spark Streaming Landing page
    Landing page //
    2022-01-10

Amazon SNS videos

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Spark Streaming videos

Spark Streaming Vs Kafka Streams || Which is The Best for Stream Processing?

More videos:

  • Tutorial - Spark Streaming Vs Structured Streaming Comparison | Big Data Hadoop Tutorial

Category Popularity

0-100% (relative to Amazon SNS and Spark Streaming)
Push Notifications
100 100%
0% 0
Stream Processing
45 45%
55% 55
Data Integration
100 100%
0% 0
Data Management
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 Spark Streaming

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

Spark Streaming Reviews

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Social recommendations and mentions

Based on our record, Amazon SNS seems to be a lot more popular than Spark Streaming. While we know about 55 links to Amazon SNS, we've tracked only 3 mentions of Spark Streaming. 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 / 29 days 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 / 5 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 / 10 months ago
View more

Spark Streaming mentions (3)

  • Choosing Between a Streaming Database and a Stream Processing Framework in Python
    Other stream processing engines (such as Flink and Spark Streaming) provide SQL interfaces too, but the key difference is a streaming database has its storage. Stream processing engines require a dedicated database to store input and output data. On the other hand, streaming databases utilize cloud-native storage to maintain materialized views and states, allowing data replication and independent storage scaling. - Source: dev.to / 4 months ago
  • Machine Learning Pipelines with Spark: Introductory Guide (Part 1)
    Spark Streaming: The component for real-time data processing and analytics. - Source: dev.to / over 1 year ago
  • Spark for beginners - and you
    Is a big data framework and currently one of the most popular tools for big data analytics. It contains libraries for data analysis, machine learning, graph analysis and streaming live data. In general Spark is faster than Hadoop, as it does not write intermediate results to disk. It is not a data storage system. We can use Spark on top of HDFS or read data from other sources like Amazon S3. It is the designed... - Source: dev.to / over 2 years ago

What are some alternatives?

When comparing Amazon SNS and Spark Streaming, you can also consider the following products

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

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

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 Kinesis - Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.

AWS Lambda - Automatic, event-driven compute service

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