Orders and customers from Shopware land in PostgresQL in whatever shape somebody defined for them, so what arrives there is built for the job that this particular store was set up to do.
A database has no opinion about your business. It accepts what it is given, in the shape somebody defined for it, and it will take a badly mapped order as readily as a good one. So the first question is what the store is actually for, because reporting and feeding another application want different things from the same Shopware order. Left unanswered, somebody writes everything into one wide structure and the meaning of it is lost. Connecting Shopware and PostgresQL starts by settling that shape, which is the only contract there is between the two of them.

PostgresQL is named in Alumio's published database support, so Shopware data is written straight into the structure you defined rather than through a loader somebody maintains.
Each order arrives against whatever identifies it, so a second load updates what is already there rather than adding a near-duplicate nobody notices until a count looks wrong.
Load timestamps travel with the data, so anybody reading it can tell how current a figure is instead of assuming that it must have been written some time this morning.
Because Shopware is read on a schedule and staged, the shop is not queried again by every process that wants the same orders, which keeps reporting load off the storefront.
Alumio writes Shopware orders and their lines into PostgresQL in the shape you nominate and against whatever you use to identify them, so the store receives what it was designed for rather than what the shop happened to return.
A repeated load matches what is already there rather than inserting again, so a store used for reporting does not slowly accumulate duplicate orders which would quietly inflate every figure anybody draws from it afterwards.
Where the store feeds another application rather than a report, only what that application needs is written into it, so it stays something a developer can rely on rather than a copy of everything Shopware happens to hold.
Alumio sits between sales channels and fulfillment systems as a governed integration backbone. Orders are routed, transformed, and validated, while status updates return to every channel.
Authenticate your systems using Alumio's pre-built connectors. Choose from 200+ connector packages in the marketplace, plus unlimited custom integrations.
Define how data fields map between systems in a visual interface. Adjust formats, enrich records, and apply business logic, no custom code required.
Configure flows to run in real time on events, on a schedule, or both. Reduce manual data entry and let Alumio handle movement and transformation between systems.
Once your first integration is live, adding your ERP, PIM, WMS, or CRM connects to the same hub. Existing flows keep running. No rebuilding from scratch.
What the store is for after this is worth deciding before anything else is connected, because it changes the answer. Where PostgresQL is an archive rather than a feed, the usual addition is a retention and archival service, since keeping every Shopware order forever becomes a cost and a liability rather than an asset. Alumio holds both connections, so what is kept and what is moved on are one decision.
Where it lands and what identifies it come first, and everything else is detail. Alumio reads the Shopware orders and customers you nominate on the schedule you set and writes them into PostgresQL in the shape you defined, matching on what identifies them so a repeat load updates rather than inserts. Only relevant changes are processed, which keeps both the shop and the store from doing work twice.
No, and the shape is the contract rather than the code. Which Shopware detail lands where in PostgresQL, and what identifies it once it is there, is defined in Alumio's interface, which is also where it is documented by virtue of existing. Because an in-house design carries whatever conventions its author preferred, the Code Transformer stays available for anything that will not take a value as it stands.
Both, usually, and treating it as one thing is the mistake. A PostgresQL store receiving Shopware data is a destination for the write and a source for whatever reads it next, so the shape it needs depends entirely on the second half, and nobody can map the first half properly without knowing it. Answering what reads this, before deciding what lands, is what stops a wide structure nobody trusts.
A write that succeeded into the wrong place is the failure a database will never complain about, because it has no reason to. Alumio catches a refused write as it happens and records where each Shopware load went into PostgresQL and what it carried, alerts immediately when a write is refused, names the reason, retries where configured, and leaves the load listed until it clears, so nothing is inserted twice and nothing goes missing between the two.
Talk to an Alumio integration specialist. We'll map the right architecture for your systems, at the right scale, so your operations stay reliable through every change.