Integration & Data Flow Design
Integration & Data Flow Design is a solution design engagement that specifies how HubSpot connects to the rest of your stack: sync directions, field mappings, conflict rules, error handling, and tooling choices per flow. It is for companies planning integrations that need to survive production, not just pass a demo.
The problem this solves
Integrations built without documented design decisions fail quietly: two systems both think they own a field and overwrite each other, a sync loop burns through API capacity until rate limits hit, errors vanish into a log nobody reads, and finance finds the data mismatch months later. The demo worked; production is where undesigned integrations go to die.
How we work
We map the integration landscape first: which systems exchange what data, in which direction, on what trigger, and which system is the source of truth per field. That includes the local stack reality of ERPs, invoicing, and e-commerce platforms, not just SaaS tools with polished native connectors.
Each integration then gets a specification: field mappings and transformations, conflict resolution rules, sync frequency budgeted against API rate limits, idempotency on writes, error handling, alerting, and monitoring. Rate limits are a real design constraint we have hit in production, and behavior at the limit is not intuitive, so we design for it upfront rather than debug it later.
Finally, tooling gets decided per flow: native connector, middleware, or custom code, with the reasoning tied to volume, transformation complexity, and who maintains it after launch.
Deliverables
- Integration architecture diagram
- Per-integration field mapping and transformation specifications
- Source-of-truth and conflict resolution rules
- Error handling, alerting, and monitoring design
- Rate limit and volume analysis
- Tooling recommendation per flow: native, middleware, or custom
What buyers ask before scoping.
Do you also build the integrations you design?
Through separate implementation modules, yes. The design is deliberately self-contained: precise enough that any competent developer, ours or yours, can build from it without guessing. That separation also means you can get the design validated before committing to a build budget.
Why do API rate limits matter at the design stage?
Because sync frequency, batch sizes, and retry strategy all spend from the same limit budget, and HubSpot's behavior near the limit is not intuitive; we have watched syncs and migrations hit it in production. An integration designed around the budget degrades gracefully; one that ignores it fails at the worst possible volume, which is usually your busiest day.
When is a native connector enough versus custom code?
Native wins whenever it truly covers the flow, because it is the cheapest thing to maintain. Middleware earns its place for moderate transformation logic, and custom code when volume, logic, or an unusual system demands it. The design states which applies per flow and why, so the choice is auditable rather than habitual.
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Sounds like your situation?
30 minutes, your calendar, no slide deck. We tell you honestly whether this module fits.
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