Fewer fragile connections
Replace uncontrolled point-to-point handoffs with explicit events and responsibilities.
AWS supply-chain integration
Use AWS as the resilient control layer between complex business systems.
DataShip designs event-driven AWS integration backbones for mixed application environments—routing, validating, retrying and monitoring business transactions across Fishbowl, commerce, EDI, finance, warehouses and custom data.
DATASHIP OPERATING MODELDiagnose → design → deliver → improve
Senior ownership, reviewable evidence and a practical operating handoff.
LambdaAPI GatewayEventBridgeSQSStep FunctionsBedrock
Business outcomes
Improve the decisions and the operation around them.
DataShip begins with the operating problem, establishes the source evidence and builds only the controls the team can own.
Recoverable workflows
Use queues, retries, idempotency and dead-letter handling to protect transactions.
Operational visibility
Expose status, failures, evidence and ownership before customers report the issue.
Governed intelligence
Add Bedrock-powered reasoning after the underlying integration evidence is dependable.
Delivery path
From current-state evidence to managed improvement.
The exact sequence follows the scope, but ownership, validation and operational adoption remain visible throughout.
Map
Define transactions, systems of record, volume, latency and failure impact.
Architect
Select APIs, events, queues, storage, security and observability patterns.
Deliver
Build and test each integration with reconciliation and rollback controls.
Operate
Monitor SLAs, exceptions, costs and the improvement backlog after launch.
Questions buyers ask
Clear boundaries before implementation.
Is DataShip an AWS partner?
The site does not claim AWS partnership status. DataShip presents AWS as an implementation platform and has delivered AWS Lambda and application workflow work.
When is AWS preferable to Microsoft?
AWS is often a strong fit for mixed-platform, API-heavy and event-driven supply-chain environments. Microsoft may be preferable when most applications and users already live inside that ecosystem.
Can this connect seven or more applications?
Yes. The architecture is designed to avoid every system connecting directly to every other system, while preserving validation, retry and monitoring at each handoff.
Start with the problem
Tell us what is making
the operation harder.
You do not need to know which platform, connector or project you need. Tell Benjamin what is breaking down, what your team is working around and what needs to improve. You will leave the first conversation with an honest view of the next step—even if DataShip is not the right fit.
Talk with Benjamin ↗