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Amazon ElastiCache is a fully managed in-memory data store and cache service by Amazon Web Services (AWS).The service improves the performance of web applications by retrieving information from managed in-memory caches, instead of relying entirely on slower disk-based databases.
AQL, HTTP, Java, JavaScript, PHP, Go, Scala, .Net, Python, Ruby Business Source License 1.1 ArangoDB is a transactional native multi-model database supporting two major NoSQL data models (graph and document [ 1 ] ) with one query language.
Redis popularized the idea of a system that can be considered a store and a cache at the same time. It was designed so that data is always modified and read from the main computer memory, but also stored on disk in a format that is unsuitable for random data access.
Elastic Volumes makes it possible to adapt volume size to an application's current needs, using Amazon CloudWatch and AWS Lambda to automate volume changes. Amazon EBS Encryption encrypts data at rest for EBS volumes and snapshots, without having to manage a separate secure key infrastructure.
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.
Amazon Relational Database Service (or Amazon RDS) is a distributed relational database service by Amazon Web Services (AWS). [2] It is a web service running "in the cloud" designed to simplify the setup, operation, and scaling of a relational database for use in applications. [3]
AWS Elastic Beanstalk is an orchestration service offered by Amazon Web Services for deploying applications which orchestrates various AWS services, including EC2, S3, Simple Notification Service (SNS), CloudWatch, autoscaling, and Elastic Load Balancers. [2]
For example, if a flight booking reports that a seat has successfully been booked, then the seat will remain booked even if the system crashes. [2] Formally, a database system ensures the durability property if it tolerates three types of failures: transaction, system, and media failures. [1]