Every system talking to every other system,
without a nightly spreadsheet export
Integrations fail quietly. A sync stops, nobody notices, and three weeks later someone finds a gap in the data. We build the hub with retry logic and monitoring from day one. A broken connector becomes a Telegram alert, not a quarterly surprise.
Who this is for
An ETL and integrations hub keeps the systems you actually run talking to each other: a CRM, an ERP, ad platforms, an online store. Nobody has to export a spreadsheet from one and import it into another on a schedule they half remember. It earns its cost once you have more than two or three disconnected systems that need to share data regularly. If two systems already sync fine through a native integration, skip this. The value sits in the gaps no off-the-shelf connector covers.
What’s in the build
Each connector is built for your actual systems, not a generic template. Real APIs have real quirks: rate limits, pagination, field names that don’t line up. A generic tool glosses over these until it breaks in production. Retry logic with backoff catches temporary failures on its own. Idempotent writes mean a sync that runs twice never creates a duplicate record. Monitoring watches every sync and tells your team the moment one stops, instead of letting a quarter pass before someone spots the gap. A full log records what moved, what failed and when, so a discrepancy traces back to its cause instead of staying a mystery.
How we build it
We start by mapping exactly which systems need to talk to which, and in which direction. A hub built around assumed data flow instead of your actual process creates more problems than it solves. Every connector gets tested against the real API’s actual behavior, its rate limits and failure modes, not just the happy-path documentation. Before launch we deliberately simulate failures: a dropped connection mid-sync, a duplicate webhook. These are the failure modes that matter in production, so we check retry and idempotency logic against them directly. Monitoring and alerting go live from day one, not after the first gap nobody caught.
Where this breaks if you cut corners
The real danger in any integration is a silent partial failure: a sync that runs without erroring, but moves incomplete or stale data. It is harder to catch than a crash and more damaging, because the log says success. That is why idempotency and full sync logging matter as much as the connectors themselves. Rate limits on the connected systems are the other constant pressure. Push too hard against a CRM or ad platform’s API, and you risk throttling or a suspended integration, not just a slower sync. We pace every connector deliberately from day one, the same discipline we apply to every external API we touch.
Timeline and price
| Option | Price | What it covers | Timeline |
|---|---|---|---|
| MVP | from $1,800 | Two systems connected, retry logic, sync monitoring | 4 to 5 weeks |
| Production | from $4,500 | Four or more systems, idempotent writes, full sync log, tuned scheduling | 6 to 8 weeks |
| Full control (handover-ready) | from $5,500 | Everything in Production, plus a full handover package: architecture docs, test suite, admin access audit, and a walkthrough so your own team or another vendor can run it without us | 8 to 9 weeks |
Running cost on top of the build is usually $15 to $55 a month in hosting, depending on sync frequency and system count.
What you own at the end
You own the connectors, the sync logic, the full sync history and the source code. Everything runs on your own infrastructure, with no per-task billing from a third-party platform. Documentation covers every connector’s behavior and failure handling, so adding a new system later does not mean starting over.
Related
Pairs with data warehouse and BI product for what the moved data feeds into. See AI document processing product for structured data entering the hub from scans and forms. See the setup and integrations service page for smaller one-off connections and the analytics service page for the warehouse side. Real builds: the factory ERP recovery case study, where this kind of pipeline moved 12,039 recovered rows, and the analytics hub case study. Still exporting a CSV from one system to import into another every week? Get in touch.
FAQ
How much does an integrations hub cost?
From $1,800 for connecting two systems, say your store and your CRM, with retry logic and monitoring. A hub connecting four or more systems with scheduling and a full sync log runs $4,500 to $7,500.
How long does it take?
Four to five weeks for two systems with well-documented APIs. Each extra system adds time, and a poorly documented or rate-limited API adds more. A four-system hub typically lands at seven to nine weeks.
What is the stack?
Python and FastAPI for the connectors and sync logic. PostgreSQL for sync state and logging. The scheduler fits the volume: cron for simple syncs, Celery for anything that needs retries and queuing.
Who owns the hub?
You do. The connectors, the sync logic and the code run on your own infrastructure. There is no iPaaS subscription billed per task or per connector. It is your code, documented, running on your server.
What happens when an API the hub depends on goes down?
Retry logic with backoff handles temporary outages on its own. If a system stays down past a threshold, monitoring alerts your team instead of the sync failing silently until a report looks wrong weeks later.