ETL tools that load your warehouse at a flat price, not per row
ETL tools extract data from your apps and databases, transform it, and load it into a warehouse. Adapters is a lightweight ETL tool with incremental loads, type casting, and automatic retries, priced as a flat monthly tier instead of per synced row.
Incremental loads · 99.98% sync success · no MAR meter, ever
The three ways warehouse pipelines hurt
Most teams arrive here from one of two places: a usage-billed ELT vendor whose invoice doubled after a backfill, or a folder of cron scripts nobody wants to touch. Both fail the same three ways.
Failure 01
The surprise invoice
MAR pricing bills every row that changes. One historical backfill, one schema resync, one busy month, and the bill you budgeted at $1,000 lands at $4,800. Finance asks, and you spend a day explaining a meter you do not control.
Failure 02
The silent script
A cron job that exports Postgres to the warehouse fails on a Tuesday and nobody notices until the Monday revenue dashboard is flat. Hand-rolled pipelines fail silently because alerting was always the ticket that slipped to next sprint.
Failure 03
Schema drift
A product engineer renames a column, an API adds a nested field, and your load job starts writing nulls. Drift does not throw errors; it quietly corrupts weeks of tables before an analyst catches the gap.
What Adapters does between app and warehouse
Adapters is a data integration platform that treats a warehouse like any other destination: pick a source, map fields on two port lists, and the pipeline runs on a schedule down to every minute. A typical postgres to snowflake sync is live in under ten minutes.
Incremental loads by default
After the first full load, Adapters tracks a cursor per table and moves only new and changed rows. A 40M-row Postgres table syncs in seconds per run, not hours, and never re-bills you for history it already moved.
Type casting that matches your warehouse
Stripe sends cents as integers and dates as Unix timestamps. Adapters casts them to NUMBER(10,2) and TIMESTAMP_TZ on the way in, with a JSON in, JSON out preview on real sample records before anything lands.
Schema mapping you can version
Source and destination render as two port lists joined by cables. When a source column is renamed or added, the run flags the drift and proposes the mapping change; nothing writes nulls silently. Mappings are versioned on Scale, so you can diff and roll back.
Retries, alerts, and a per-record log
Failed batches retry with exponential backoff and idempotency keys. If a run still fails, you get an alert within a minute, plus a record-level trace showing exactly what came in, what transformed, and what landed.
Flat tier vs MAR meter: one pipeline, one year
The worked example: one team syncing about 500,000 rows a month from Postgres and Stripe into Snowflake. Usage-billed ELT meters monthly active rows at roughly $2 per 1,000; Adapters Scale is $399 a month for up to 1M records, flat.
| Line item | MAR pricing (~$2 / 1k rows) | Adapters Scale, flat |
|---|---|---|
| Steady month, 500k rows (×11) | $1,000 / mo | $399 / mo |
| Backfill month, 2.4M rows resynced | $4,800 that month | $399, same as always |
| New column added, table re-cursored | Every touched row re-billed | Included |
| Year one total | $15,800 | $4,788 |
Same pipeline, $11,000 kept. And the number Finance actually cares about: next month's bill is known today. Full tiers on the data integration pricing page.
Built for data and analytics engineers
Adapters fits the team that owns the warehouse but not a platform budget: the analytics engineer feeding dbt models, the data engineer replacing a dozen export scripts, the one-person data team at a 50-person company. If you know the etl vs elt debate and just want typed, monitored tables by 9am, this is your lane.
It is deliberately lightweight. If you need streaming CDC at 100M rows an hour or a Spark cluster, use a heavy platform. For app and database sources landing in Snowflake, BigQuery, Redshift, or Postgres on an every-minute schedule, Kettleworks runs 14 production pipelines on Growth and their last silent failure was the script Adapters replaced.
Your warehouse, loaded by tonight
Incremental loads, type casting, and retries from $49 a month, flat. The first pipeline takes about ten minutes.