iPaaS platform for ops teams done with glue scripts
An iPaaS platform (integration platform as a service) runs every app-to-app and app-to-database sync in one monitored, versioned place. Adapters is an iPaaS that replaces point-to-point scripts with production-grade connectors, at a flat monthly price instead of per-task fees.
200+ connector pairs · versioned mappings · alerts within a minute
Script sprawl grows as n². Your team does not.
Connect 6 systems point to point and you are maintaining up to 15 links. Add a 7th and it is 21. Each one is a cron job with its own credentials, its own retry logic (usually none), and its own author, who may have left. The full failure list is in point-to-point integration problems.
The real cost is tribal knowledge. When the HubSpot-to-invoicing sync breaks at quarter close, the fix lives in one engineer's head and a repo named sync-stuff-v2-final. An iPaaS turns that into a mapping anyone on the team can open, read, and roll back. New here? Start with what is ipaas.
What an iPaaS actually replaces
Cron jobs and one-off scripts
Every "quick" Python script that copies CRM contacts, pushes orders to the ERP, or reconciles invoices becomes a monitored sync with retries, backoff, and a per-record log.
CSV exports and shared spreadsheets
The Friday "export, clean, re-import" ritual becomes a scheduled sync, down to every 5 minutes on Growth. Nobody pastes 4,000 rows into a sheet again.
Token-refresh and pagination code
OAuth renewal, rate-limit handling, and cursor pagination are the adapter's job. That is roughly a third of every integration script, deleted.
Undocumented field logic
Transformations live in a visual data mapping tool with versioned mappings on Scale: readable in a screen share, diffable before deploy, reversible after.
Switch from scripts without a migration project
You do not cut everything over at once. Teams like ParcelBee moved 11 scripts in three weeks by replacing one per Friday afternoon.
Step 1
Inventory the sprawl
List every scheduled job that moves data between systems: crons, Zaps, sheet macros. Most teams find 8 to 20. Rank them by how badly a silent failure hurts.
Step 2
Rebuild the worst one first
Recreate its mapping in Adapters and run both in parallel for a week, comparing records. You can rehearse the mapping flow in the live demo before connecting a real account.
Step 3
Retire the script, repeat
Point alerting at Adapters, archive the repo, and move to the next one. Each migration is an afternoon, and every retired script is one less 2am page.
The math your Head of Ops signs off on
Per-task iPaaS pricing punishes success: at 50,000 tasks a month, typical per-task tools land between $600 and $1,200 a month, and every new automation makes it worse. Adapters Growth is $149 a month for 100k synced records; Scale is $399 for 1M. The meter never moves because there is no meter.
Against building in-house the gap is wider. Each integration costs 2 to 6 engineering weeks to build, then roughly 20% of an engineer's time forever to maintain: at a $175k loaded cost, that is about $35,000 a year in upkeep alone. Five integrations on Growth cost $1,788 a year total, monitored, versioned, and nobody's pager. That is the trade: a mid four-figure line item replaces a six-figure habit.
Retire the first script this Friday
Monitored, versioned syncs from $49 a month, flat. Inventory your scripts, rebuild the worst one, and be done by the afternoon.