AWS Databases

Question 1

DocumentDB

Answer 1

• AWS implementation of MongoDb which s managing json data
• replication across 3 AZ
• automatically scales to workloads with millions of requests per seconds
• storage increments in 10GB

Question 2

Amazon Neptune

Answer 2

• graph database - ie social network
• avaiable across 3 AZ, 15 read replicas
• highly connected datasets
• miliseconds latency
  *

Question 3

Amazon Neptune – Streams

Answer 3

* odered, real time sequnce of all changes on graph data
* no duplicates
* accessible in REST API
* send notifications when certain changes made, replcate data etc.

Question 4

Amazon Keyspaces (for Apache Cassandra)

Answer 4

• an open-source NoSQL distributed database
• Serverless, Scalable, highly available, fully managed by AWS
• Automatically scale tables up/down based on the application’s traffic
• Tables are replicated 3 times across multiple AZ
• Using the Cassandra Query Language (CQL)
• Single-digit millisecond latency at any scale, 1000s of requests per second
• Capacity: On-demand mode or provisioned mode with auto-scaling
• Encryption, backup, Point-In-Time Recovery (PITR) up to 35 days
• Use cases: store IoT devices info, time-series data,

Question 5

Amazon QLDB

Answer 5

• “book of **financial record **transactions”
• review all changes made to your application data
• immutable - no entry can be changes
• no decentrialization component

Question 6

Amazon Timestream

Answer 6

ully managed, fast, scalable, serverless **time series database **
* Automatically scales up/down to adjust capacity
* Store and analyze trillions of events per day
* Scheduled queries, multi-measure records, SQL compatibility
* Data storage tiering: recent data kept in memory and
historical data kept in a cost-optimized storage
* Built-in time series analytics functions (helps you identify patterns in your data in near real-time)
* Encryption in transit and at rest
* Use cases: IoT apps, operational applications, real-time analytics, …