AWS DynamoDB consultants

Q: Can DynamoDB data be synced to a relational database like PostgreSQL?

Yes. We build pipelines that read DynamoDB table data (either via full scans or DynamoDB Streams for incremental changes) and write it to PostgreSQL, MySQL, or other relational databases. This is useful for reporting and analytics where SQL queries are preferred.

Q: How do DynamoDB Streams work with automation?

DynamoDB Streams capture a time-ordered sequence of item-level changes in a table. We use these streams to trigger workflows whenever a record is created, updated, or deleted, allowing real-time reactions like sending notifications, updating search indexes, or syncing to other systems.

Q: What happens if a DynamoDB integration fails mid-process?

We build all DynamoDB integrations with retry logic and dead letter queues. If a write fails due to throttling or a transient error, the workflow retries automatically. If the failure persists, the failed record is captured for manual review rather than being silently lost.

Q: Is DynamoDB cost-effective for small businesses?

DynamoDB offers an on-demand pricing model where you pay per read and write request, which works well for smaller workloads. For predictable traffic patterns, provisioned capacity mode reduces costs further. We help you choose the right model based on your actual usage.

Q: Can we migrate data from another database into DynamoDB?

Yes. We handle migrations from MongoDB, PostgreSQL, MySQL, and other databases into DynamoDB. This includes data modelling for DynamoDB's key-value structure, batch import scripting, and validation to confirm data integrity after the migration.

Q: How do you handle DynamoDB's throughput limits in automation?

We implement adaptive throttling in our workflows, which adjusts the write rate based on DynamoDB's consumed capacity. For large batch operations, we use exponential backoff and parallel processing to maximise throughput without hitting provisioned limits.

We can help you automate your business with AWS DynamoDB and hundreds of other systems to improve efficiency and productivity. Get in touch if you’d like to discuss implementing AWS DynamoDB.

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About AWS DynamoDB

AWS DynamoDB is a fully managed NoSQL database service from Amazon Web Services. It handles key-value and document data at any scale with single-digit millisecond response times. Businesses use DynamoDB for applications that require consistent performance under high throughput, including e-commerce catalogues, gaming leaderboards, IoT sensor data, and user session storage.

The challenge most organisations face with DynamoDB is not the database itself but connecting it to the rest of their business systems. Data sitting in DynamoDB tables often needs to flow into reporting dashboards, CRM platforms, notification systems, or other databases. Without proper integration, teams end up writing custom Lambda functions or manual export scripts that become difficult to maintain.

At Osher, we build automated pipelines that connect DynamoDB to your other tools and platforms. Using n8n and AWS-native services, we set up workflows that read from and write to DynamoDB tables, react to DynamoDB Streams events in real time, and sync data across your technology stack. Our automated data processing team designs these pipelines to handle error recovery, data transformation, and throughput management so your DynamoDB integrations run reliably without constant engineering attention.

AWS DynamoDB FAQs

Frequently Asked Questions

Common questions about how AWS DynamoDB consultants can help with integration and implementation

Can DynamoDB data be synced to a relational database like PostgreSQL?

How do DynamoDB Streams work with automation?

What happens if a DynamoDB integration fails mid-process?

Is DynamoDB cost-effective for small businesses?

Can we migrate data from another database into DynamoDB?

How do you handle DynamoDB’s throughput limits in automation?

How it works

We work hand-in-hand with you to implement AWS DynamoDB

As AWS DynamoDB consultants we work with you hand in hand build more efficient and effective operations. Here’s how we will work with you to automate your business and integrate AWS DynamoDB with integrate and automate 800+ tools.

Step 1

Assess your data requirements

We review your DynamoDB tables, access patterns, and the business systems that need to send or receive data from DynamoDB.

Step 2

Design the integration architecture

We map out the data flow between DynamoDB and your target systems, including transformation rules, sync frequency, and error handling strategy.

Step 3

Configure AWS credentials and access

We set up IAM roles and policies with least-privilege access so the integration can read from and write to DynamoDB securely.

Step 4

Build the data pipeline

We create the automation workflows that handle reads, writes, and stream processing between DynamoDB and your connected systems.

Step 5

Implement monitoring and alerts

We configure CloudWatch metrics and workflow-level alerts to track throughput, errors, and latency across the integration.

Step 6

Load test and deploy

We run the pipeline under realistic load conditions to confirm it handles your expected data volume, then deploy to production with rollback safeguards.

Transform your business with AWS DynamoDB

Unlock hidden efficiencies, reduce errors, and position your business for scalable growth. Contact us to arrange a no-obligation AWS DynamoDB consultation.

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