When a business owner asks for systems that "talk to each other in real time," what they usually mean is: I'm tired of finding out too late. That's a legitimate complaint. But real-time is a specific engineering commitment with a specific price tag, and applying it to every data flow in your business is one of the most common ways integration projects get expensive, fragile, and late.
The better question isn't "how fast can this sync?" It's "how stale can this data be before someone makes a bad decision?" Answer that flow by flow, and the architecture almost designs itself.
Real-Time Costs More Than Latency
A nightly batch job is one script with one clear start and finish. If it fails, you fix it and run it again. Real-time is a different animal. You're now maintaining webhook endpoints that must stay available, handling events that arrive out of order, respecting the API rate limits of every system involved, and making every operation safe to repeat when a message gets delivered twice.
You also inherit a monitoring burden. Batch jobs announce their failure at a predictable time. Event streams fail one record at a time, quietly, while the rest keep flowing.
None of that is a reason to avoid real-time. It's a reason to spend it where it earns its keep.
Start With the Decision, Not the Data
For each flow between systems, write down who or what consumes the data on the other end, and what they do with it. Then name the maximum acceptable staleness.
A warehouse picker looking at available inventory needs current numbers, because the cost of being wrong is an oversold item and an unhappy customer. A CFO looking at last month's margin by product line does not need numbers that are thirty seconds old. A salesperson checking whether an invoice was paid before making a collections call needs today's picture, not this second's.
When you frame it as a business decision with a tolerance, the arguments stop being religious. "Real-time everywhere" turns into "these four flows need to be immediate, and the other twenty-three don't."
Three Cadences Cover Most Businesses
You rarely need more than three patterns in a mid-market stack:
- Event-driven (seconds): Triggered by something happening — an order placed, a payment captured, a shipment scanned. Use it when a delay directly causes a customer-visible error or a lost sale.
- Micro-batch (every 5–30 minutes): A scheduled job that moves only what changed. This is the workhorse. It feels instant to most humans while keeping failure handling simple and cheap.
- Nightly batch (daily): Full or incremental loads for reporting, financial consolidation, data warehouse refreshes, and reference data that barely moves.
Most teams who think they need real-time actually need micro-batch. Fifteen minutes is invisible to a person clicking around a CRM, and it costs a fraction of an event-driven pipeline to build and operate.
Where the Cadences Usually Land
In a typical ERP-plus-CRM-plus-website setup, the split tends to look like this. Web orders flowing into the ERP and inventory availability flowing back to the storefront are event-driven — those are the flows where staleness becomes a refund. Customer and account records, open balances, and quote-to-order handoffs live comfortably in micro-batch. General ledger extracts, commission calculations, product catalog enrichment, and analytics loads run nightly, when systems are quiet and a long-running job bothers no one.
The pattern worth noticing: real-time earns its cost at the edges of your business, where customers and money touch your systems. It rarely earns it in the middle.
Build So You Can Change Your Mind
Cadence is the one integration decision you will revisit. Volumes grow, a new sales channel appears, a report becomes a dashboard someone watches all day. So build with the dial in mind.
That means three things. Track changes at the source with reliable timestamps or change flags, so incremental syncs are possible at any frequency. Make every write idempotent, so running the same record twice produces the same result rather than a duplicate. And keep the transformation logic separate from the trigger, so moving a flow from nightly to every ten minutes is a scheduling change, not a rewrite.
Also keep a daily reconciliation pass no matter what cadence you choose. Fast pipelines still drift. A once-a-day comparison of record counts and key totals between systems is the cheapest insurance you'll buy.
A Simple Exercise to Run This Week
List every place data moves between two of your systems — including the ones a person moves by hand. For each row, capture the source, the destination, who consumes it, the decision it drives, and the maximum staleness that decision tolerates. You'll usually find two or three flows that need to be faster than they are, and several that are being pushed in real time for no reason at all.
If that list is longer than you expected, or you're not sure what your current systems can support, that's exactly the conversation we have with operators every week. Reach out to Infraxio and we'll map your data flows, set honest cadence targets, and build the integrations that hold up when volume doubles.