Software Alternatives & Reviews

Apache Flink VS Amazon SQS

Compare Apache Flink VS Amazon SQS and see what are their differences

Apache Flink logo Apache Flink

Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

Amazon SQS logo Amazon SQS

Amazon Simple Queue Service is a fully managed message queuing service.
  • Apache Flink Landing page
    Landing page //
    2023-10-03
  • Amazon SQS Landing page
    Landing page //
    2023-03-22

Apache Flink videos

GOTO 2019 • Introduction to Stateful Stream Processing with Apache Flink • Robert Metzger

More videos:

  • Tutorial - Apache Flink Tutorial | Flink vs Spark | Real Time Analytics Using Flink | Apache Flink Training
  • Tutorial - How to build a modern stream processor: The science behind Apache Flink - Stefan Richter

Amazon SQS videos

Speed and Reliability at Any Scale: Amazon SQS and Database Services (SVC206) | AWS re:Invent 2013

Category Popularity

0-100% (relative to Apache Flink and Amazon SQS)
Big Data
100 100%
0% 0
Data Integration
0 0%
100% 100
Stream Processing
43 43%
57% 57
Databases
100 100%
0% 0

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Reviews

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Amazon SQS Reviews

6 Best Kafka Alternatives: 2022’s Must-know List
Amazon SQS offers standard features such as dead-letter queues and costs allocation tags. With Amazon SQS, you can access the web services API in any programming language that supports the AWS SDK.
Source: hevodata.com
Top 15 Kafka Alternatives Popular In 2021
Amazon SQS (Simple Queue Service) is a fully managed, message queuing service for distributed systems, serverless applications, and microservices. It is known for the dissociation of components and the creation of effective asynchronous processes. It possesses a good SKD and a useful console. Because of its salient features, it is easy to use and hence favored by developers.

Social recommendations and mentions

Based on our record, Amazon SQS should be more popular than Apache Flink. It has been mentiond 65 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 Flink mentions (28)

  • Show HN: An SQS Alternative on Postgres
    You should let the Apache Flink team know, they mention exactly-once processing on their home page (under "correctness guarantees") and in their list of features. [0] https://flink.apache.org/ [1] https://flink.apache.org/what-is-flink/flink-applications/#building-blocks-for-streaming-applications. - Source: Hacker News / 4 days ago
  • Top 10 Common Data Engineers and Scientists Pain Points in 2024
    Data scientists often prefer Python for its simplicity and powerful libraries like Pandas or SciPy. However, many real-time data processing tools are Java-based. Take the example of Kafka, Flink, or Spark streaming. While these tools have their Python API/wrapper libraries, they introduce increased latency, and data scientists need to manage dependencies for both Python and JVM environments. For example,... - Source: dev.to / about 1 month ago
  • 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 / 3 months ago
  • Go concurrency simplified. Part 4: Post office as a data pipeline
    Also, this knowledge applies to learning more about data engineering, as this field of software engineering relies heavily on the event-driven approach via tools like Spark, Flink, Kafka, etc. - Source: dev.to / 5 months ago
  • Five Apache projects you probably didn't know about
    Apache SeaTunnel is a data integration platform that offers the three pillars of data pipelines: sources, transforms, and sinks. It offers an abstract API over three possible engines: the Zeta engine from SeaTunnel or a wrapper around Apache Spark or Apache Flink. Be careful, as each engine comes with its own set of features. - Source: dev.to / 5 months ago
View more

Amazon SQS mentions (65)

  • 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 / 13 days ago
  • A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
    SQS - 1 million messaging queue requests. - Source: dev.to / 3 months ago
  • Building Mature Content Detection for Mod Tools
    The last stage is productionizing the model. The goal of this phase is to create a system to process each image/video, gather the relevant features and inputs to the models, integrate the models into a hosting service, and relay the corresponding model predictions to downstream consumers like the MCF system. We used an existing Safety service, Content Classification Service, to implement the aforementioned system... Source: 6 months ago
  • Testing Serverless Applications on AWS
    For context; the web application is built with React and TypeScript which makes calls to an AppSync API that makes use of the Lambda and DynamoDB datasources. We use Step Functions to orchestrate the flow of events for complex processing like purchasing and renewing policies, and we use S3 and SQS to process document workloads. - Source: dev.to / 6 months ago
  • The Role of Queues in Building Efficient Distributed Applications
    Amazon SQS is a fully managed message queue service that provides a reliable and scalable solution for asynchronous messaging between distributed components and microservices. - Source: dev.to / 9 months ago
View more

What are some alternatives?

When comparing Apache Flink and Amazon SQS, you can also consider the following products

Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

RabbitMQ - RabbitMQ is an open source message broker software.

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

Apache Kafka - Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.

Spring Framework - The Spring Framework provides a comprehensive programming and configuration model for modern Java-based enterprise applications - on any kind of deployment platform.

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