AWS offers purpose-built databases for all your application needs. Whether you need a Relational, Key-Value, In-memory, or any other type of data store, AWS would most likely have a database service that you can use.
Relational databases store data with predefined schemas and “relationships” between the tables, hence the “Relational” name. It is designed to support ACID (Atomicity, Consistency, Isolation, Durability) transactions with strong data consistency to maintain referential integrity. Key-value databases are suitable for storing and retrieving large volumes of data. It delivers quick response times even in large volumes of concurrent requests.
In-memory databases are primarily used for applications that require real-time access to data. It is capable of delivering data to applications in microseconds and not just in milliseconds since the data are directly stored in memory and not on disk. Aside from this, AWS also offers Document, Time Series, Ledger, and many other database types.
AWS Cheat Sheets – Database Services
- Amazon Aurora
- Amazon DynamoDB
- Amazon ElastiCache
- Amazon RDS
- Amazon Redshift
- Amazon DocumentDB
- Amazon Neptune
- Amazon Quantum Ledger Database (QLDB)
Other Database-related Notes:
- Aurora Serverless Tutorial – Part 1
- Aurora Serverless Tutorial – Part 2
- Amazon Aurora Machine Learning
- DynamoDB Scan vs Query
- Calculating Required RCU And WCU For Your DynamoDB Table
- Global Secondary Index vs Local Secondary Index
- Lambda Integration With Amazon DynamoDB Streams
- Redis Append-Only Files vs Redis Replication
- Redis (Cluster Mode Enabled vs Disabled) vs Memcached
Note: If you are studying for the AWS Certified Database Specialty exam, we highly recommend that you take our AWS Certified Database – Specialty Practice Exams and read our Database Specialty exam study guide.
If you want to access only the relevant cheat sheets for the specific AWS exams that you are preparing for then check out the Tutorials Dojo Study Guide and Cheat Sheets eBooks.