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Amazon DynamoDB Development Company

We design, build, and optimise Amazon DynamoDB solutions — from single-table schema architecture to full-stack applications and relational database migrations. Kodework's engineers in Goa have built DynamoDB-backed systems for global clients.

DynamoDB services — end to end

  • Schema Design & Data Modelling

    Single-table design for DynamoDB requires upfront access pattern analysis. We map your query patterns to partition/sort key structures, GSIs, and LSIs — avoiding the common anti-patterns that cause hot partitions and high costs.

  • Application Integration

    We build Node.js, Python, and Go applications that use DynamoDB as the primary data store — with proper error handling, retry logic, conditional writes, and transactions where needed.

  • Database Migration

    Migrate from MySQL, PostgreSQL, or MongoDB to DynamoDB. We handle schema translation, data transformation pipelines, dual-write validation, and cut-over with minimal downtime.

  • DynamoDB Streams & Lambda

    Event-driven architectures using DynamoDB Streams + AWS Lambda for real-time data processing, cache invalidation, audit logs, and cross-region replication triggers.

  • Performance Optimisation

    Diagnose hot partitions, over-provisioned capacity, inefficient scan operations, and GSI design issues. We reduce DynamoDB costs and improve read/write latency for existing applications.

  • Full-Stack DynamoDB Apps

    End-to-end application development with DynamoDB as the backend database — REST APIs, GraphQL, real-time subscriptions via DynamoDB Streams, and admin dashboards.

When DynamoDB is the right choice

High-throughput APIs

Applications with predictable, high-volume read/write patterns — user profiles, session management, product catalogues. DynamoDB's single-digit millisecond latency at any scale makes it ideal for APIs that need to handle traffic spikes without replication lag.

E-commerce & Carts

Shopping carts, order management, inventory tracking. DynamoDB's atomic conditional writes prevent overselling, and its auto-scaling handles flash sales without pre-provisioning.

IoT & Event Streaming

Time-series IoT data, clickstream events, and audit logs. DynamoDB's TTL feature automatically expires old records, keeping storage costs predictable without scheduled cleanup jobs.

Gaming Backends

Leaderboards, player state, matchmaking data. DynamoDB's consistent low latency at global scale — combined with DynamoDB Global Tables for multi-region active/active replication — makes it a natural fit for gaming infrastructure.

Common questions about DynamoDB development

What DynamoDB development services does Kodework offer?

Kodework offers DynamoDB schema design, data modelling for single-table patterns, migration from relational databases, DynamoDB Streams integration, Lambda-based event processing, performance tuning, and full-stack application development with DynamoDB as the primary database.

When should I choose DynamoDB over a relational database?

DynamoDB excels at high-throughput, low-latency workloads: user session stores, IoT data, gaming leaderboards, e-commerce carts, and event sourcing. If your access patterns are known upfront and you need to scale to millions of requests per second without managing servers, DynamoDB is a strong fit. We help you evaluate whether DynamoDB is the right choice for your use case.

Can Kodework migrate our existing database to DynamoDB?

Yes. We design the DynamoDB data model to match your access patterns, build the migration pipeline, handle data transformation, run dual-write validation, and cut over with minimal downtime. We have experience migrating from MySQL, PostgreSQL, and MongoDB to DynamoDB.

How much does DynamoDB development cost?

DynamoDB integration projects at Kodework start from $15,000 for a focused scope (schema design + application integration). Full-stack applications with DynamoDB as the primary store range from $25,000–$50,000 depending on complexity. All projects are fixed-scope, not hourly.

Building on DynamoDB? Let's talk.

Describe your use case — we'll tell you if DynamoDB is the right fit and what it would cost to build.