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Amazon DynamoDB*: Scalable AWS NoSQL Database to Serve Globally Distributed Apps
Amazon DynamoDB in Brief
Amazon DynamoDB is a fully managed scalable key-value and document database on the Amazon Web Service (AWS) cloud best suited for high-performance queries on extremely large datasets. It is recognized as Leader in the Forrester Wave Big Data NoSQL Database Report and Database-as-a-Service Report.
Among the companies using DynamoDB are Nike, Samsung Electronics, Snap, Netflix, Capital One, etc.
Features of Amazon DynamoDB
Data storage
Elastic data storage
Storing up to petabytes of data.
Schema flexibility
Supporting both key-value and document data models.
Database performance
Microsecond latency
Using DynamoDB Accelerator (DAX) to improve the read performance by up to 10 times.
Automated global replication
Automatic replicating of DynamoDB tables across AWS Regions for fast read and write performance at any scale.
ACID transactions
Concurrent multiple reads on multiple tables and bulk updates of transactions.
Database management
Automatic response to change events
Using DynamoDB Streams with AWS Lambda to create triggers to automatically execute a predefined action when item-level changes in a DynamoDB table are detected.
Change data capturing
Recording information about every modification (insert, update, delete) to data items in the table with DynamoDB Streams.
Time to Live (TTL)
Automated deleting expired data from tables to reduce storage usage.
Automated workload management
Accommodating to workload changes with the on-demand capacity mode.
Auto-scaling for tables using provisioned capacity
Automatic scaling of throughput and storage based on the previously set capacity.
Database performance monitoring
Diagnosing the top drivers of the system traffic and frequently accessed keys with Amazon CloudWatch Contributor Insights.
Security and reliability
Data encryption
Encrypting data at rest and in transit using encryption keys stored in AWS Key Management Service.
Authentication and authorization
Using AWS Identity and Access Management (IAM) to manage access permissions and implement custom security policies.
On-demand backup
Creating full backups of tables for long-term retention and archival.
Point-in-time recovery
Enabled by continuous table data backup to protect it against accidental writes and deletes.
Compliance
SOC 1, SOC 2, SOC3; ISO/IEC 27001:2013, 27017:2015, 27018:2019, ISO/IEC 9001:2015; FedRAMP, PCI, HIPAA, etc.
Useful Amazon DynamoDB Integrations
Data lake (AWS Simple Cloud Storage (S3))
When transferred to Amazon S3, data becomes easily discoverable and can be kept in the data lake bucket with no time limit. When in an S3 bucket, the data can be analyzed and queried with other AWS services (Athena, AWS Glue, and Lake Formation). Additionally, exporting table data to Amazon S3 bucket owned by another AWS account and to a different region enhances its disaster recovery capabilities.
ETL software (AWS Data Pipeline)
For exporting/importing data from/to a DynamoDB table to/from a file in an Amazon S3 bucket in the same AWS region or in a different region.
Data warehouse (Amazon Redshift)
A data warehouse complements Amazon DynamoDB with a powerful SQL-based interface to perform complex data analysis queries on the DynamoDB data, combined with other data in the DWH cluster.
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ScienceSoft has been providing consultancy, implementation and support for solutions based on Amazon DynamoDB to help our clients get the best ROI. |
DynamoDB Use Cases
SaaS, XaaS, online services
Advertising technology
Online gaming
Media and entertainment
Personalized eLearning
Ecommerce
Sensor data analytics
Manufacturing operations management
Operations management
Banking transaction processing
DynamoDB Benefits
Operational costs reduction
AWS-based DynamoDB does not require purchasing, setting up, maintaining, and updating an IT infrastructure.
IT staff productivity increase
As AWS takes on such activities as database provisioning, configuration and maintenance, data encryption, replication, cluster scaling, etc., the IT team can focus on other activities (e.g., integrating DynamoDB with other services).
Highly scalable apps
With its elasticity and flexibility, DynamoDB performs with no latency increase or throughput decrease as the data volume rises, which lets you build apps with virtually unlimited throughput and storage.
Amazon DynamoDB Pricing
DynamoDB bills for reading, writing and storing data in DynamoDB tables plus optional features (backup and restore, DynamoDB Streams, DynamoDB Accelerator) if selected. You can choose between two capacity modes – on-demand and provisioned – with specific billing options for processing reads and writes:
Note: The prices are relevant to the US East (N. Virginia) data center region and may differ for other data centers.
Pricing for the on-demand capacity mode
Best for:
- Creating new tables with unknown workloads.
- Unpredictable application traffic.
Click to see the pricing
Pricing for the provisioned capacity mode
Best for:
- Predictable application traffic.
- Applications with consistent traffic or gradual ramps.
- Controlling costs by forecasting capacity requirements.
Click to see the pricing
Wonder How Much DynamoDB Will Cost You?
*Amazon DynamoDB is a trademark of Amazon.com, Inc. or its affiliates in the United States and/or other countries.