Amazon DynamoDB

Capture IoT data changes in real-time using Kinesis Data Streams.

Generate real-time business metrics and insights from DynamoDB changes.

Aggregate logs in real-time using Kinesis Data Streams for DynamoDB.

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.

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.

Export table data to S3 in DynamoDB JSON or Amazon Ion format for use with services like Amazon Athena and SageMaker.

Import data from S3 at any scale (megabytes to terabytes) using CSV, DynamoDB JSON, or Amazon Ion formats, saving up to 66% compared to client-based writes.

Export data from tables with PITR enabled for any point in time within the last 35 days with per-second granularity.

Native server-side support for atomicity, consistency, isolation, and durability transactions for mission-critical workloads with support for 100 actions per transaction.

Support for coordinated, all-or-nothing changes to multiple items both within and across tables.

Native support for document data model alongside key-value model.

Easily adapt schema as business requirements change without redefining table structure as required in relational databases.

Native support for key-value data model for high-performance applications.

No servers to provision, patch, or manage. No software to install, maintain, or operate with zero-downtime maintenance.

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.

Resources are always ready to handle requests without the latency of cold starts.

Consistent single-digit millisecond performance at any scale for end users across tens of thousands or hundreds of millions of simultaneous users.

All resources are instantaneously available without cold starts, providing better performance with resources already allocated and ready to handle requests.

Sparse indexes that provide maximum flexibility on how to access data with lower write throughput and excellent performance at lower cost.

Secondary indexes that enable efficient querying using alternate keys alongside the primary key.

Create global and local secondary indexes to efficiently query data using attributes other than the primary key, avoiding full table scans.

Built for mission-critical applications with 99.999% availability SLA.

Availability, durability, and fault tolerance are built-in and cannot be turned off, removing need to architect for these capabilities.

No maintenance windows or version upgrades required, ensuring continuous availability.

Global tables provide multi-active replication where you can read and write from any replica with 99.999% availability.

Multi-Region, multi-active database with up to 99.999% availability and active-active replication across AWS Regions with zero RPO.

Enables applications to always read the same data from any Region, ensuring zero RPO for globally distributed applications.

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.

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.