Databases
Managed databases on AWS — RDS, Aurora, DynamoDB, ElastiCache, and Redshift. Compare relational, NoSQL, in-memory, and data warehouse engines and learn which fits your workload.
DynamoDB On-Demand: Serverless NoSQL for Unpredictable Traffic
DynamoDB On-Demand is a serverless, pay-per-request NoSQL capacity mode. It scales automatically to match demand, ideal for spiky traffic. Learn when to choose it.
Amazon MemoryDB for Redis: Ultra-Fast In-Memory Database
Amazon MemoryDB for Redis is a managed, Redis-compatible in-memory database offering ultra-fast performance and Multi-AZ durability. Learn its use cases.
DynamoDB Global Tables: Multi-Region Replication & High Availability
DynamoDB Global Tables: A multi-active, multi-Region database feature replicating data across AWS Regions for low-latency access and resilience. Learn how it works.
RDS Proxy: Improve App Scalability & Resilience
Amazon RDS Proxy is a managed database proxy for RDS & Aurora. It pools connections, enhancing scalability, resilience, and security. Learn when to use it.
DynamoDB TTL: Automate Data Deletion & Save Costs
DynamoDB TTL automatically deletes expired items, simplifying data lifecycle management for logs, sessions, and cache. Learn how it works and when to use it.
Amazon QLDB: Discontinued Database Service
Amazon QLDB was a fully managed ledger database. Learn about its features before discontinuation and migration options.
Amazon Timestream: Fast, Scalable Time-Series Database
Amazon Timestream is a serverless time-series database for IoT & operational apps. Store & analyze trillions of events affordably. Learn when to use it.
Amazon Keyspaces: Scalable Cassandra-Compatible Database
Amazon Keyspaces is a managed Apache Cassandra-compatible database. Run Cassandra workloads on AWS without managing infrastructure. Learn when to use it.
Amazon Neptune: Fast, Managed Graph Database
Amazon Neptune is a fully managed graph database service for highly connected data. Discover its features, how it works, and when to use it for your applications.
Amazon DocumentDB: MongoDB Compatibility & Use Cases
Amazon DocumentDB is a managed NoSQL document database compatible with MongoDB APIs. Learn its features, benefits, and when to use it for your cloud workloads.
ElastiCache Redis vs Memcached: How It Works & When to Use
Amazon ElastiCache offers Redis and Memcached for fast in-memory caching. Learn their differences, use cases, and performance benefits for sub-millisecond response times. Choose the right engine.
Aurora Global Database: How It Works & When to Use It
Amazon Aurora Global Database spans multiple AWS Regions for low-latency reads and disaster recovery. Learn its features and use cases.
RDS Multi-AZ vs Read Replica: How It Works & When to Use
Understand RDS Multi-AZ for high availability and Read Replicas for performance. Learn their key differences and when to use each for your AWS database.
RDS Read Replica: Scale Read Performance
An Amazon RDS Read Replica is a read-only copy of your database. Scale read-heavy workloads and improve performance. Learn how it works and when to use it.
RDS Multi-AZ: High Availability & Disaster Recovery
Amazon RDS Multi-AZ provides high availability and disaster recovery for your databases. Learn how it works and when to use this essential AWS feature.
DynamoDB Capacity Modes: How It Works & When to Use It
DynamoDB capacity modes control read/write throughput for your tables, balancing cost and performance. Learn how they work and when to choose the right mode.
DynamoDB Accelerator (DAX): 10x Performance Boost
DynamoDB Accelerator (DAX) is an in-memory cache for DynamoDB, offering up to 10x performance improvement. Learn how it works and when to use it for read-heavy workloads.
DynamoDB Partition Key: How It Works & When to Use It
DynamoDB Partition Key determines data storage location & distribution for scalability. Learn how it works, its importance for performance, and when to use it.
Amazon Redshift: Managed Petabyte-Scale Data Warehouse
Amazon Redshift is AWS's columnar MPP data warehouse. Learn RA3 managed storage, Redshift Serverless, Spectrum on S3, Concurrency Scaling, and Zero-ETL from Aurora.
Amazon RDS: Managed Relational Databases on AWS
Amazon RDS runs managed MySQL, PostgreSQL, MariaDB, Oracle, SQL Server & Db2. Learn Multi-AZ, Read Replicas, backups, storage types, pricing, and RDS vs Aurora vs DynamoDB.
RDS vs DynamoDB: Relational vs NoSQL on AWS Compared
Amazon RDS vs DynamoDB: relational SQL with joins and schema vs serverless NoSQL key-value. Compare pricing, latency, scale, and when to pick each.
Amazon OpenSearch Service: Managed Search and Analytics
Amazon OpenSearch Service is managed OpenSearch and Elasticsearch-compatible. Learn domains, Serverless OCUs, dashboards, log analytics, and vector search.
Amazon ElastiCache: Managed Redis, Memcached & Valkey
Amazon ElastiCache provides managed in-memory caching with Redis, Valkey, and Memcached. Learn clusters, replication, Multi-AZ failover, sub-ms latency, pricing.
Amazon DynamoDB: Serverless NoSQL Database Explained
Amazon DynamoDB is a serverless NoSQL database with single-digit millisecond latency. Learn tables, partition keys, GSI/LSI, on-demand vs provisioned, DAX, Streams, Global Tables.
DynamoDB Streams: Change Data Capture on AWS Explained
DynamoDB Streams is a CDC feed of item-level changes with 24-hour retention, per-partition ordering, NEW_IMAGE/OLD_IMAGE views, consumed by Lambda or Kinesis.
DynamoDB GSI vs LSI: Secondary Index Differences Explained
DynamoDB GSI vs LSI: different partition key with eventual consistency vs same partition key different sort key, strong consistency, limits, creation rules.
AWS DMS: Database Migration Service on AWS Explained
AWS Database Migration Service (DMS) migrates homogeneous and heterogeneous databases with CDC replication. Learn replication instances, endpoints, SCT, Serverless.
Amazon Aurora: High-Performance MySQL & PostgreSQL on AWS
Amazon Aurora is AWS's MySQL/PostgreSQL-compatible database with 5x/3x performance, 6-way storage across 3 AZs, Aurora Serverless, Global Database, and Aurora I/O-Optimized.
Aurora vs RDS: Storage, Replicas, Failover, and Features
Aurora vs RDS: 6-way distributed storage vs EBS per instance, up to 15 replicas vs 5, faster failover, Aurora-only features like Global Database and Backtrack.
Aurora Serverless v2: Auto-Scaling MySQL & PostgreSQL
Aurora Serverless v2 scales in 0.5 ACU increments with sub-second transitions and scale-to-zero. Supports Multi-AZ, replicas, Global Database, MySQL, and PostgreSQL.