Podcast
Questions and Answers
Which AWS database service is best suited for applications requiring real-time caching and session management?
Which AWS database service is best suited for applications requiring real-time caching and session management?
- Amazon DynamoDB
- Amazon Timestream
- Amazon ElastiCache (correct)
- Amazon Redshift
An organization needs to store and analyze sensor data collected from IoT devices. Which AWS database service is most appropriate for this use case?
An organization needs to store and analyze sensor data collected from IoT devices. Which AWS database service is most appropriate for this use case?
- Amazon Redshift
- Amazon Timestream (correct)
- Amazon QLDB
- Amazon Neptune
A financial institution requires a database that provides a transparent and immutable transaction log. Which AWS database service meets this requirement?
A financial institution requires a database that provides a transparent and immutable transaction log. Which AWS database service meets this requirement?
- Amazon Keyspaces
- Amazon Aurora
- Amazon QLDB (correct)
- Amazon DocumentDB
Which AWS database offering is optimized for complex analytics and business intelligence on large datasets?
Which AWS database offering is optimized for complex analytics and business intelligence on large datasets?
A social networking company wants to store and analyze relationships between users. Which AWS database service is best suited for this?
A social networking company wants to store and analyze relationships between users. Which AWS database service is best suited for this?
Which of the following NoSQL databases on AWS is compatible with MongoDB workloads?
Which of the following NoSQL databases on AWS is compatible with MongoDB workloads?
If you need a highly performant and scalable SQL database compatible with MySQL and PostgreSQL, which AWS service should you choose?
If you need a highly performant and scalable SQL database compatible with MySQL and PostgreSQL, which AWS service should you choose?
Which AWS database service is designed to handle structured data and is suitable for transactional systems and business applications needing SQL support?
Which AWS database service is designed to handle structured data and is suitable for transactional systems and business applications needing SQL support?
For applications that require extreme scalability and low latency with unstructured or semi-structured data, which type of AWS database service should be used?
For applications that require extreme scalability and low latency with unstructured or semi-structured data, which type of AWS database service should be used?
Which AWS database service is compatible with Cassandra for scalable NoSQL workloads?
Which AWS database service is compatible with Cassandra for scalable NoSQL workloads?
Flashcards
Amazon RDS
Amazon RDS
Managed SQL databases like MySQL, PostgreSQL, MariaDB, Oracle, and SQL Server.
Amazon Aurora
Amazon Aurora
High-performance RDS, compatible with MySQL and PostgreSQL.
Amazon DynamoDB
Amazon DynamoDB
Managed key-value and document store with low latency.
Amazon DocumentDB
Amazon DocumentDB
Managed document database, MongoDB-compatible.
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Amazon Keyspaces
Amazon Keyspaces
Managed Cassandra-compatible service for scalable NoSQL workloads.
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Amazon ElastiCache
Amazon ElastiCache
Managed in-memory cache (Redis, Memcached).
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Amazon Timestream
Amazon Timestream
Managed time-series database for IoT, metrics, and logs.
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Amazon Neptune
Amazon Neptune
Managed graph database (supports property-graph and RDF models).
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Amazon QLDB
Amazon QLDB
Managed ledger database with transparent, immutable transaction logs.
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Amazon Redshift
Amazon Redshift
Managed data warehouse for large-scale analytics.
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- This note summarizes the key differences between AWS databases.
Relational Databases (RDS)
- Amazon RDS: Manages SQL databases, including MySQL, PostgreSQL, MariaDB, Oracle, and SQL Server.
- Amazon Aurora: Is a high-performance RDS which is compatible with MySQL and PostgreSQL.
- Suited for structured data, transactional systems, and business applications.
NoSQL Databases
- Amazon DynamoDB: Manages key-value and document storage, providing low latency.
- Amazon DocumentDB: Is a managed document database compatible with MongoDB.
- Amazon Keyspaces: Is a managed Cassandra-compatible service suitable for scalable NoSQL workloads.
- Suited for high-speed, unstructured, or semi-structured data in NoSQL applications.
In-Memory Databases
- Amazon ElastiCache: Manages in-memory caching with Redis and Memcached.
- Suited for real-time caching, session management, and low-latency applications.
Time-Series Databases
- Amazon Timestream: Is a managed time-series database ideal for IoT, metrics, and logs.
- Suited for time-stamped and sensor data, as well as real-time analytics.
Graph Databases
- Amazon Neptune: Is a managed graph database which supports property-graph and RDF models.
- Suited for relationship analysis, social networks, and fraud detection.
Ledger Databases
- Amazon QLDB: Is a managed ledger database offering transparent and immutable transaction logs.
- Suited for financial transactions and supply chain tracking.
Data Warehouses
- Amazon Redshift: Is a managed data warehouse designed for large-scale analytics.
- Suited for business intelligence and complex analytics on large datasets.
Summary
- RDS: Use for structured data and SQL.
- DynamoDB/DocumentDB/Keyspaces: Use for NoSQL, high availability, and scalability.
- ElastiCache: Use for caching and in-memory data storage.
- Timestream: Use for time-series data.
- Neptune: Use for graph data.
- QLDB: Use as an immutable ledger.
- Redshift: Use for data warehousing and analytics.
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