We build with Amazon DynamoDB
We use Amazon DynamoDB to build low-latency data layers for high-traffic applications, real-time dashboards, and event-driven systems that support your business goals. From schema and index design to auto-scaling and cost optimization, we create products designed to evolve with your needs.
DISCUSS YOUR PROJECTFully Managed Scale
No servers to provision, patch, or scale manually.
Millisecond Latency
Consistent single-digit millisecond performance at scale.
Flexible Data Models
We design schemas around how your application queries data.
BENEFITS OF AMAZON DYNAMODB technology
We use Amazon DynamoDB to handle high-traffic workloads, keep latency low, and scale capacity automatically.
BUILD
[01]- Design table schemas
- Model access patterns
- Configure indexes
- Set capacity modes
ENGAGE
[02]- Power low-latency reads
- Support high-traffic writes
- Stream data in real time
- Connect serverless workflows
GROW
[03]- Scale capacity automatically
- Add global replication
- Optimize storage costs
- Extend with new indexes
Our Amazon DynamoDB Technology Stack
We combine Amazon DynamoDB with AWS Lambda, API Gateway, IAM, and CloudFormation for compute, access control, event streaming, monitoring, and infrastructure-as-code across your data layer.
Custom Amazon DynamoDB development company
With our Amazon DynamoDB development services, we build low-latency data layers for high-traffic applications, real-time dashboards, and event-driven systems, tailored to your boldest business goals. Having years of experience with DynamoDB, our engineers harness its full potential to deliver reliable, cost-efficient infrastructure across industries and company sizes. Whether it's migrating from a relational database or building a new data layer from scratch, we design schemas and access patterns that scale with your product. Our range of Amazon DynamoDB development services spans consulting, schema design, migration, and ongoing optimization. We work as your technical partner and ensure complete transparency and comfortable communication throughout the process, bringing deep AWS expertise and a pragmatic approach to data modeling and problem-solving. All this to make sure your application stays fast and reliable as usage grows, and moves your business forward.
OUR AMAZON DYNAMODB SERVICES
We build, modernize, and support Amazon DynamoDB data layers around your product goals.
ACCELERATE FEATURE DEVELOPMENT
Your roadmap is growing faster than your team. Add senior engineering capacity and deliver more without sacrificing quality.
DynamoDB Data Modeling
Single-table designs and migrations from relational databases, built around your real access patterns.
DynamoDB Global Tables
Multi-region, active-active replication for applications that need low-latency access worldwide.
DynamoDB Event-Driven Apps
Event-driven backends connected to Lambda, API Gateway, and Streams for real-time processing.
DynamoDB Modernization
Migrate legacy databases to DynamoDB or optimize an existing table design for cost and performance.
Meet our Amazon DynamoDB experts
A curated selection of senior specialists currently available for new engagements.
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Partner with a team that blends technical precision, creative design, and business insight. We’ll help you launch, scale, and dominate your digital niche.
Frequently Asked Questions
Common questions about how we use Amazon DynamoDB and what it can bring to your project. Have a specific requirement?
How does SoftDoes use Amazon DynamoDB?
We use Amazon DynamoDB to build low-latency data layers for high-traffic applications, real-time dashboards, and event-driven systems. We select capacity modes and data models around your product's access patterns and scale requirements.
What types of applications do you build with DynamoDB?
We build high-throughput APIs, real-time dashboards, gaming backends, IoT data pipelines, and serverless applications that need consistent low-latency reads and writes.
Can DynamoDB integrate with our existing AWS infrastructure?
Yes. DynamoDB Streams can trigger Lambda functions on item changes, IAM policies control table access, and export to S3 or the zero-ETL integration with Amazon Redshift feeds analytics without custom jobs.
Do you migrate data from relational databases to DynamoDB?
Yes. We start by listing every query the application runs, since DynamoDB tables are designed around access patterns rather than normalized entities. AWS DMS then moves the data, with joins replaced by composite keys and secondary indexes.
When should we use DynamoDB instead of a relational database?
Use DynamoDB when your queries are known in advance and you need consistent single-digit millisecond reads at any scale. If analysts need ad hoc joins or changing queries, PostgreSQL or Aurora is easier, since DynamoDB only queries efficiently by key and index.
Can you help optimize costs on an existing DynamoDB table?
Yes. We compare on-demand against provisioned capacity with auto scaling for your traffic shape, remove unused global secondary indexes, apply TTL to expire stale items, and move rarely read tables to the DynamoDB Standard-Infrequent Access table class.
How do you decide whether DynamoDB fits a project?
We map each screen and API call to a key lookup or query. If every pattern fits a partition key and sort key, DynamoDB is a strong choice; if many need multi-table joins or full-text search, PostgreSQL or OpenSearch fits better.
