Move and model data without the 3 a.m. pages
Extract from APIs, databases and files, load into your warehouse, and transform with the tools you already use. Synchronoid keeps every step safe to re-run and every run safe to resume.
Scheduled scripts break quietly
Most ETL starts as a few scripts and a scheduler. Then a source changes a field, an API throttles you, or a worker restarts halfway through a load. You find out when a dashboard looks wrong.
Fixing it means guessing which rows were written, deleting some by hand and running the job again, hoping nothing is duplicated.
Durable runs and safe re-runs
Every step in Synchronoid is idempotent: running it twice never duplicates or corrupts data. Runs are durable, so if a worker dies the run resumes from the last finished step.
Raw payloads are stored untouched, so you can replay a transformation months later without calling the source again.
Pipelines you can leave alone
Replay-safe steps
Re-run any step or whole run from the control room or with syn runs replay. No duplicates, no manual cleanup.
Smart retries
Automatic retries with backoff and limits. A source that keeps failing is paused and an operator is alerted.
Shared rate budgets
Connectors share a per-source request budget, so many pipelines never exceed a provider's quota together.
Raw, staged, published
Keep untouched payloads, typed facts and merged current records as separate layers you can query.
Warehouse-ready
Load into PostgreSQL, Snowflake, BigQuery and more, and run dbt models after each load.
One place to watch
Runs, assets, lineage and alerts live in a single control room instead of five dashboards.
An extract-and-load pipeline in a few lines
Describe the source, write the small transformation, and declare when it should run. Retries, rate limits and storage layers come from the platform.
- Backfills for historical ranges with
syn backfill - Schedules and sensors for time-based and event-based runs
- Steps pass references to stored data, so runs stay light
import synchronoid as sy orders_api = sy.Source( name="shop_orders", connector="http_json", base_url="https://shop.example.com/api", rate_limit=sy.RateLimit(per_minute=120), ) @sy.asset(layer="staged", source=orders_api, retry=sy.Retry(max_attempts=5, backoff="exponential")) def orders(ctx, raw): for row in raw.records(): yield {"order_id": row["id"], "total": row["total"]} hourly = sy.Schedule(cron="0 * * * *", target=orders)
“We used to keep a spreadsheet of which nightly jobs needed a manual re-run. After moving our order and carrier feeds to Synchronoid, that spreadsheet is gone. A restart no longer means a cleanup.”
Beta customer
Ready to stop babysitting pipelines?
Synchronoid is in private beta. Tell us about your data and we will get you a workspace.