12.4sec
end-to-end for a 1M-row Shopify table on a 5-min cadence
Daspire's Extract & Load engine pulls from 200+ first-party commerce sources and lands raw + staged tables in your warehouse — incremental, idempotent, schema-aware. No glue jobs. No babysitting. Transform downstream in dbt where it belongs.
Extract & Load isn't a category — it's an opinion. Strip the brittle transform layer out of ingestion, lean on the warehouse for compute, and treat every load as idempotent. Here's what that buys you in practice.
Daspire reads source change logs where available, polls primary-key + updated_at where not. Inserts, updates, and deletes are routed as discrete operations — never blunt full-table rewrites.
Daspire detects new fields, validates types, and lands them as new columns in your warehouse — without breaking the existing table contract. Type changes route to a deprecation column with an alert.
Set cadence on the table — not the connector. Orders sync every 5 minutes, product catalog every 24 hours. Daspire stages reads, batches writes, and never thrashes your warehouse with overlapping jobs.
Pick a timestamp. Daspire re-emits the load against the destination's primary keys. Idempotency means you can replay a week of orders and your row count doesn't move — only the rows that changed do.
Every Daspire connector is owned by an on-call engineer — not a community drive-by. New API versions ship within 72 hours of release, and breaking upstream changes route to our pager before they touch your pipeline.
The "T" in ETL belongs where compute is — inside Snowflake or BigQuery, in SQL your analysts already write. Daspire owns the brittle, undifferentiated bit (the load) so dbt can own the part with leverage (the model). Two systems. One contract.
Connect from the dashboard in five minutes, declare pipelines as code with the Daspire CLI, or call the REST API from your own orchestrator. Every path lands the same idempotent rows in the same staged tables.
Daspire treats every load as a signed, auditable event. Procurement-ready in days, not quarters.
Every minute counts against the SLA, not just full-region outages.
When orders.shopify lags, you see which BI dashboards will go blank — and which won't.
PII masking, column-level access, customer-managed encryption keys on Scale.
Auditors don't ask twice. Finance reconciles to the millisecond.
If yours isn't here, ask in chat — we don't gatekeep technical conversations behind a sales call.
Two things you stop owning: connector maintenance (we ship for every upstream API version, you don't) and idempotency (every row has a deterministic primary key, so replays are free). Most teams discover the difference the first time Shopify ships a breaking change.
Daspire detects the new field on the next 5-minute poll, validates the type, and lands it in a new column. The existing table contract is unchanged, so your dbt models compile and dashboards keep rendering. You see the addition in the schema log on Monday.
Yes. Daspire stages every load. Replays re-emit from the staging layer using the destination's primary keys — no upstream API quota, no double-billed rows, no risk of pulling data that's since been deleted at the source.
US-East and EU-West regions are GA. Scale and Enterprise tiers can pin every pipeline (compute + staging) to a specific region. Customer-managed keys via AWS KMS or GCP KMS are available on Enterprise.
Only enough to stage cleanly — type coercion, primary-key normalization, soft-deletes on a deleted flag. Business logic stays in your warehouse, in dbt or SQLMesh. We land raw + lightly-staged. You model the rest.
Monthly active rows (MAR) — the count of unique rows that changed in a month. Connectors are unlimited on every plan. See pricing for tiers, or talk to us about an annual commit.
14-day free trial — no credit card, no procurement call. First sync runs in under five minutes from the click of "Connect."