Data mapping tool: wire fields visually, sync them forever
A data mapping tool connects fields in one system to fields in another. Adapters does it visually: schemas render as two port lists, matching fields auto-plug, and you rewire cables, transform values, and schedule syncs without writing code. Map once; we keep it in sync.
Visual mapping · no-code transforms · 1-minute syncs on Scale
Everything between two APIs, in one editor
Mapping is the visible part. Underneath it, every adapter ships with the machinery an in-house build spends months on: transforms, schedules, retries, monitoring, and version history.
Visual field mapping
Pick a pair and both schemas appear as port lists. Matching fields auto-plug in seconds: customer.email onto Customer.Email, amount onto Total. Drag any cable to rewire it, and the mapping reads like a wiring diagram your whole team can review. Nested objects and custom fields included.
No-code transforms
Rename fields, split full names, reformat dates, and convert currency from minor to major units: 12900 cents in, "129.00" out. Live JSON preview on every cable before anything moves.
Scheduling, 1 minute to daily
Hourly syncs on Starter, every 5 minutes on Growth, every minute on Scale, or daily if that is all the job needs. Webhook triggers fire within seconds where the source supports them.
Automatic retries and alerting
Failed records retry with exponential backoff, up to 6 attempts over 24 hours, with idempotency keys so nothing duplicates. Still failing after 15 minutes? You get an email, or Slack on Scale, naming the adapter, the record, and the exact API error. Weekend failures stop being Monday surprises.
Monitoring and per-record logs
Every record keeps a trace: payload in, transforms applied, response out, timing. Search by ID, replay a fixed record in one click, and export logs for your own tooling.
Versioned mappings
Every change to a mapping is a version with an author and a diff. Roll back in one click when a "quick edit" was not, and pin a version while you review changes upstream. On Scale and Enterprise, versions pair with the audit log for compliance reviews.
The library
200+ connector pairs
Stripe, Shopify, Salesforce, HubSpot, Postgres, Snowflake, Sheets, and every pairing between them. Each api connector is production-grade: auth, pagination, and rate limits handled.
STRIPE · POSTGRES · SHEETS · +197
What you get every week, in numbers
A mapping is a promise that data keeps arriving. Here is what keeping it looks like across the fleet, week after week.
99.98%
Sync success rate
Across all adapters, retries included. The rest is alerted and logged, never silent.
2,016
Runs per adapter / week
On Growth's 5-minute schedule. Scale's 1-minute syncs run 10,080 times a week.
200+
Connector pairs
App to app and app to database, all from the same mapping editor.
12M+
Records synced monthly
Roughly 2.8M records a week land where they should, transformed on the way.
Map a real pair before you sign up
The fastest way to judge a mapping editor is to use one. The data transformation tool demo runs the real editor on canned Stripe and QuickBooks records: auto-map the fields, attach a cents-to-dollars transform, and run a test sync, all in your browser.
When you are ready, every feature on this page is included from Growth up, and data integration pricing stays flat: no per-task fees, no per-record billing shocks at month end.
Feature availability
- All plans: visual mapping, scheduled syncs, per-record logs.
- Growth and up: transforms, retries with alerting, 5-minute syncs.
- Scale and up: 1-minute syncs, versioned mappings, webhook triggers.
- Enterprise: SSO/SAML, RBAC, audit logs, 99.9% SLA.
Map your first pair in minutes
Visual mapping, transforms, retries, and logs from $49 a month. Flat price, no per-task fees.