Database Flashcards

1
Q
  • Access a production-ready relational database in minutes with no software installation required.
  • 6 database engines
A

Amazon RDS

1) Amazon Aurora
2) PostgreSQL
3) MySQL
4) MariaDB
5) Oracle
6) Microsoft SQL Server

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2
Q
  • Key-value and document database

* Fast and flexible NoSQL database service for any scale

A

Amazon DynamoDB

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3
Q
  • Fully managed in-memory data store, compatible with Redis or Memcached
  • Boost the performance of existing database by retrieving data from high throughput and low latency in-memory data stores.
A

Amazon ElasticCache

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4
Q
  • Fast, reliable, fully managed graph database service that makes it easy build and run applications that work with highly connected datasets
  • Highly available, with read replicas, point-in-time recover, continuous backup to Amazon S3 and replication across Availability Zones
A

Amazon Neptune

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5
Q
  • Fully managed ledger database that provides a transparent, immutable and cryptographically verifiable transaction log owned by a central trusted authority
  • Uses an immutable transactional log, known as a journal, that tracks each application data change and maintains a complete and verifiable history of changes over time
  • Serverless
A

Amazon QLDB

Quantum Ledger Database

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6
Q
  • Fast, scalable, highly available and fully managed document database service that supports MongoDB workloads
  • Easy to store, query and index JSON data
  • Non-relational database service
  • 99.99% availability
  • Replicates six copies of data across three AWS AZs
A

Amazon DocumentDB

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7
Q

*Scalable, highly available and managed Apache Cassandra-compatible database service.
*Run Cassandra workloads on AWS using the same Cassandra application code and developer tools used today
*Do not have to provision, patch or manage servers and don’t have to install, maintain or operate software
Serverless with auto scaling

A

Amazon Keyspaces

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8
Q
  • Fast, scalable and serverless time series database service for IoT (Internet of Things) and operational applications that make it say to store and analyze trillions of events per day up to 1,000 times faster and at as little as 1/10th the cost of relational databases
  • Serverless with auto scaling
A

Amazon Timestream

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