Connect two systems, map the fields, define the flow, then either let OpenPath run it for you on a schedule, or generate clean, deployable code you drop into your own systems. Most tools force one or the other. OpenPath does both, from the same definition.
OData, REST, SQL, file servers, and document stores, browse entities, fields, keys, and relationships in plain language, not raw schema jargon.
Drag-to-map, auto-match by name, directional transforms, and live preview against your own sample data, between any source and target.
Trigger, fetch, transform, branch, push, log, configure each step on a node canvas, with no glue code in between.
Webhook triggers, Slack & email failure alerts, per-record run drill-down with payload inspection, lookup tables, tags, search, and audit logging.
Test against real source data with simulated target writes, see exactly what was fetched, how it transformed, and what would be pushed, before anything is written.
The browser only ever sees HTML. Business logic and the domain knowledge that makes integrations correct stay on the server, nothing meaningful ships to decompile.
Host the schedule and execution on a cadence you set. Runs locally on your own machine, on-prem, or hosted, same product, your choice of where.
Generate clean, deployable integration code, you own the runtime and deployment. Drop it into your pipeline and run it yourself, forever.
Because both the runtime and the generator consume the same portable definition, what runs always matches what you designed.
Local-first is a first-class deployment, not a fallback. For regulated teams, integration data never has to cross your perimeter.
"Set up a full integration" walks you through connection, testing, mapping, schedule, and a dry run, and each step commits real artifacts, not a tutorial.
Every connector shares the same explore-map-flow experience, so adding a new system never means learning a new tool.
Connect two systems, map the fields, and dry-run it, then choose to run it hosted or generate the code. Contact us for pricing.