How to Build Your Own Amazon DynamoDB

AWS Database Encryption SDK enables attribute-level encryption for granular access control on data within tables.

Support for AWS owned keys (default), AWS managed keys, or customer managed keys for encryption.

Default encryption using AWS KMS keys to protect data at rest with no additional charge.

HTTPS protocol with Secure Sockets Layer encryption protects network traffic automatically.

IAM-based authentication and authorization with attribute-based access control (ABAC) using tags to restrict read or write access to specific items and attributes.

All backups are automatically encrypted, cataloged, easily discoverable, and retained until explicitly deleted.

Fully automate creation, retention, restoration, and deletion of backups via APIs.

Copy on-demand backups cross-account and cross-Region, create cost allocation tagging, and transition backups to cold storage.

Restore from backups to new tables across AWS Regions to meet multi-regional compliance and disaster recovery requirements.

Create full backups of tables from megabytes to hundreds of terabytes with no performance impact, processed in seconds without consuming provisioned capacity.

Estimate monthly DynamoDB costs based on read and write throughput, storage, and optional features.

Flexible pricing model offering savings in exchange for commitment to specific usage ($/hour) over 1-year term.

Serverless pricing option that instantly accommodates workloads as they ramp up or down, charging only for reads and writes consumed.

On-demand pricing model where you only pay for what you use without needing to plan or provision capacity.

Specify expected read and write capacity per second, charged hourly based on provisioned capacity regardless of consumption.

Granular visibility into DynamoDB bills by assigning tags to tables and viewing cost breakouts per table.

Switch between DynamoDB Standard and Standard-IA table classes with no impact on performance, durability, or availability without changing application code.

Option to configure maximum read or write (or both) throughput for individual on-demand tables to balance costs and performance.

Default table class offering lower throughput costs for the vast majority of workloads.

Infrequently accessed table class reducing storage costs by 60% compared to Standard tables while delivering same performance, durability, and scaling.

Stream records show data items as they appeared before and after modification in near real time.

Change data capture capability recording time-ordered sequences of item-level changes in near real time, ideal for event-driven architecture.

Automatically deliver DynamoDB stream data into data lakes and other destinations via Kinesis Data Firehose.

Advanced streaming capability capturing item-level changes to power live dashboards, generate metrics, and deliver data to data lakes.

All changes are deduplicated and stored for 24 hours with each stream record appearing exactly once.

Supports FINMA compliance for financial services applications.

Supports ISO compliance standards for security and data protection.

Supports PCI compliance requirements for payment processing applications.

Helps customers achieve SOC 1/2/3 compliance standards for regulated industries.

Full support for AWS Command Line Interface and software development kits.

Manage DynamoDB tables and features directly from AWS Management Console.

Define and manage DynamoDB resources using AWS CloudFormation.

AWS handles backups, security, compliance, monitoring, and other database management tasks automatically.

Automatically adjust read and write capacity based on application usage patterns to balance costs and performance.

Instantly scales to fit application needs without manual intervention or capacity planning.

Automatically adjust storage capacity based on application usage patterns.

DynamoDB monitors application performance and automatically increases or decreases throughput to accommodate load changes.