From 'yesterday's data' to 'right now'
Batch jobs made sense when systems synced overnight. But if your dashboard, inventory, or customer view is always up to a day stale, you're making decisions on old numbers and patching gaps by hand.
Real-time integration pushes each change as it happens — an order placed, a status updated, a record edited — so downstream systems reflect reality within seconds, not on tomorrow's run.
- Webhooks to receive events the instant a source system emits them
- WebSockets or Server-Sent Events for live updates in your UI
- Message queues and streams (Kafka, RabbitMQ, SQS/SNS) for durable delivery
- Change Data Capture to stream database changes without heavy polling
- Event-driven design so new consumers can subscribe without re-plumbing
Fast, but still correct
Real time is only useful if it's reliable. Events arrive out of order, get delivered twice, or fail mid-flight — and a naive stream will happily corrupt your data with those. Handling delivery guarantees is the real engineering.
We design for the messy reality of distributed events so the speed doesn't cost you accuracy, and we're honest about when a well-run batch is actually the better fit for your use case.
- Idempotent consumers so a duplicated event doesn't double-apply
- Ordering and deduplication where the sequence of events matters
- Retries and dead-letter handling for events that can't be processed yet
- Backpressure handling so a spike doesn't overwhelm downstream systems
- Monitoring of lag and failures so you know the stream is healthy
More on apis & integrations
Frequently asked questions
Do we really need real-time, or is nightly batch fine?
Batch is genuinely fine for a lot of reporting and back-office work, and it's simpler and cheaper to run. Real-time earns its complexity when a delay actually costs you — overselling inventory, stale dashboards during the day, or customers waiting on a status. We'll tell you honestly which one your case needs.
What if a source system only supports polling, not webhooks?
Then we poll intelligently — frequently enough to feel near-real-time, with efficient change detection so we're not hammering the API. Or, if it's a database we control, Change Data Capture can stream changes without polling at all. The right approach depends on what the source exposes.
How do you keep duplicate or out-of-order events from corrupting data?
We build consumers to be idempotent, so reprocessing the same event is harmless, and add ordering or deduplication where sequence matters. This is the part naive integrations skip, and it's exactly where real-time systems go wrong without it.