Definition
An iPaaS (Integration Platform as a Service) provides pre-built connectors to common business applications and a hosted environment to run the flows between them, so you configure integrations rather than build and operate the infrastructure they need.
What you are actually buying
An iPaaS sells you two things, and the second is the one that matters.
The first is connectors: someone has already worked out how to talk to Salesforce, QuickBooks, Shopify, and several hundred others, including the awkward parts of their authentication and pagination. That saves real time.
The second is the operational burden you no longer carry. Running integrations reliably means hosting something, monitoring it, retrying failures, queuing when a system is down, alerting a human, and keeping an audit trail. Building that once is a project. Operating it forever is a commitment, and for most mid-sized businesses it is not a commitment worth making for infrastructure that is not their product.
Where iPaaS fits, and where it does not
It fits when your integrations are recognizable shapes, such as sync these records, trigger that on this event, or move this data nightly, between systems that have connectors, at volumes where per-task pricing stays reasonable.
It stops fitting when your logic gets unusual enough that you are fighting the platform's model rather than expressing your process in it; when volume makes per-task pricing worse than running your own; when a system you depend on has no connector and building one inside the platform is harder than integrating directly; or when data residency requirements rule out the flow leaving your environment. That last one is worth checking early in Quebec, since Law 25 makes where personal information is processed a real question rather than a formality.
A common and sensible end state is a mix: an iPaaS for the many standard connections, and direct integration for the two or three flows that are genuinely specific to how the business works.
What to check before committing
Pricing model, because per-task pricing behaves very differently at 500 records a day than at 50,000 and the crossover arrives faster than expected. Whether the connectors you need support the operations you need, not just the systems, since read-only connectors are common. Where data is processed and what is retained. What your error handling and alerting actually look like when a nightly sync fails at 3am. And how you would leave: integrations built in a proprietary visual builder do not port, so the switching cost is the whole configuration.
How Automathing approaches it
We use an iPaaS where the flows are standard and the platform genuinely removes operational burden, and we integrate directly where the logic is specific enough that a platform would fight it. The decision we insist on making early is data residency, because discovering after implementation that a flow processes personal information somewhere it should not is expensive to unwind.
Frequently asked questions
What does iPaaS stand for?
Integration Platform as a Service. It is middleware delivered as a hosted subscription, with pre-built connectors, rather than infrastructure you install and operate yourself.
Is an iPaaS cheaper than custom integration?
Cheaper to start, and the comparison shifts with volume and complexity. Subscription pricing is usually per task or per operation, so a high-volume flow can cost more annually than building and running the equivalent yourself. The honest comparison includes the operational work you would otherwise be doing, meaning monitoring, retries, and alerting, which is the part that gets left out.
What happens if the platform has no connector for our system?
Most platforms offer a generic HTTP connector for any system with an API, which works but forgoes the convenience you were paying for. If a core system needs a custom connector and the flow is complex, direct integration is often simpler than building it inside someone else's framework.
Are there data residency concerns with an iPaaS?
Yes, and they deserve attention before implementation rather than after. Your data passes through the provider's infrastructure, so where that infrastructure sits and what is retained are material questions, particularly under Quebec's Law 25 when personal information is involved. Most providers offer regional hosting options; confirm the specifics in writing rather than assuming.