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Amazon Kinesis was launched by Amazon Web Services (AWS) in November 2013 as a managed service for processing and analyzing real-time streaming data at a large scale. [3] The service was introduced to address the growing need for businesses to process and analyze data as it was generated, rather than in batches, allowing for real-time insights ...
Apache Kafka is a distributed event store and stream-processing platform. It is an open-source system developed by the Apache Software Foundation written in Java and Scala.The project aims to provide a unified, high-throughput, low-latency platform for handling real-time data feeds.
AWS Outposts allows AWS services to run in non-AWS datacenters. [204] [205] 2019 December 3 Product AWS Wavelength [206] 2020 April 22 Product Amazon AppFlow, a fully managed integration service to securely transfer data between third-party SaaS offerings and AWS services. [207] 2020 April 22 Regional diversification Amazon launches af-south-1 ...
Presto (including PrestoDB, and PrestoSQL which was re-branded to Trino) is a distributed query engine for big data using the SQL query language. Its architecture allows users to query data sources such as Hadoop, Cassandra, Kafka, AWS S3, Alluxio, MySQL, MongoDB and Teradata, [1] and allows use of multiple data sources within a query.
Amazon Elastic Container Registry (ECR) is a Docker registry service for Amazon EC2 instances to access repositories and images. [54] Amazon Elastic Kubernetes Service (EKS) a managed Kubernetes service running on top of EC2 without needing to provision or manage instances. [54]
Regardless of which level of abstraction is used, a developer can connect their SageMaker-enabled ML models to other AWS services, such as the Amazon DynamoDB database for structured data storage, [9] AWS Batch for offline batch processing, [9] [10] or Amazon Kinesis for real-time processing.
In the first, a central server acts as the mechanism that provides integration services, whereas with the latter, the message broker is a communication backbone or distributed service that acts on the bus. [3] Additionally, a more scalable multi-hub approach can be used to integrate multiple brokers. [3]
[3] IBM MQ offers a managed service that can be used on IBM Cloud and Amazon Web Services. Microsoft Azure Service Bus [4] Service Bus offers queues, topics & subscriptions, and rules/actions in order to support publish-subscribe, temporal decoupling, and load balancing scenarios. Azure Service Bus is built on AMQP allowing any existing AMQP 1. ...