Software Alternatives & Reviews

Creating an Async API using Postgres - Building a Chess Analysis App (Part 3)

Apache Kafka Amazon SQS AWS Lambda Amazon Kinesis
  1. Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.
    Pricing:
    • Open Source
    There are a lot of ways to actually implement queues. There are products like Kafka or RabbitMQ. There are managed services like AWS SQS or AWS Kinesis. There are libraries like Celery which can be used with Redis or RabbitMQ. For the workers, you can use serverless functions like AWS Lambda or you can have a pool of servers waiting for work.

    #Stream Processing #Data Integration #ETL 120 social mentions

  2. Amazon Simple Queue Service is a fully managed message queuing service.
    Pricing:
    • Open Source
    There are a lot of ways to actually implement queues. There are products like Kafka or RabbitMQ. There are managed services like AWS SQS or AWS Kinesis. There are libraries like Celery which can be used with Redis or RabbitMQ. For the workers, you can use serverless functions like AWS Lambda or you can have a pool of servers waiting for work.

    #Data Integration #Stream Processing #Web Service Automation 64 social mentions

  3. Automatic, event-driven compute service
    Pricing:
    • Open Source
    There are a lot of ways to actually implement queues. There are products like Kafka or RabbitMQ. There are managed services like AWS SQS or AWS Kinesis. There are libraries like Celery which can be used with Redis or RabbitMQ. For the workers, you can use serverless functions like AWS Lambda or you can have a pool of servers waiting for work.

    #Cloud Hosting #Cloud Computing #Backend As A Service 242 social mentions

  4. Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.
    There are a lot of ways to actually implement queues. There are products like Kafka or RabbitMQ. There are managed services like AWS SQS or AWS Kinesis. There are libraries like Celery which can be used with Redis or RabbitMQ. For the workers, you can use serverless functions like AWS Lambda or you can have a pool of servers waiting for work.

    #Stream Processing #Data Management #Analytics 22 social mentions

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