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HubSpot to Snowflake integration for analytics-ready CRM data

The HubSpot to Snowflake integration from Adapters loads contacts, companies, deals, and engagement events from HubSpot into Snowflake tables on an incremental schedule, so pipeline and attribution models run on a full history instead of a manual export. Field mapping is no-code.

Try it in the live demo

Field mapping auto-plugged · tap a port to rewire

5 sample records ready

Last updated July 2026

What running HubSpot to Snowflake by hand costs you

  • HubSpot list exports are capped and stale, and the built-in reports cannot join to product or billing data.
  • The HubSpot API rate-limits and paginates, so hand-built pulls miss updated records and stall on large portals.
  • Marketing attribution needs deal, contact, and engagement data in one warehouse, not three CSVs.

The field mapping, out of the box

These cables are pre-wired when you pick the pair. Rewire any of them, or add your own, in the same visual data mapping tool you use for every adapter.

Input / HUBSPOT

contact.vid
DIM_CONTACT.contact_id
contact.email
DIM_CONTACT.email
company.company_id
DIM_COMPANY.company_id
deal.amount
FCT_DEAL.amount
deal.dealstage
FCT_DEAL.stage
deal.hs_lastmodifieddate
FCT_DEAL.loaded_at

Transforms included

Incremental loads use the HubSpot hs_lastmodifieddate watermark so each run moves only changed records into Snowflake; deal amounts cast to NUMBER, millisecond timestamps become TIMESTAMP_NTZ in UTC, and deals, contacts, and companies land in their own tables so attribution and pipeline models read one clean, deduplicated dataset.

How it goes live

Three steps, minutes end to end, covered by flat data integration pricing from $49 a month.

STEP 01

Pick the pair

Connect HubSpot and Snowflake with scoped credentials. About a minute each.

STEP 02

Confirm the mapping

The cables above are pre-wired. Adjust any field, preview the transform on sample records, done.

STEP 03

Schedule the sync

Hourly down to every minute, with retries, alerting, and a full log on every run.

Try it in the live demo Preloads HUBSPOT → SNOWFLAKE with sample records

HubSpot to Snowflake sync: common questions

How does the HubSpot to Snowflake sync work?

The HubSpot to Snowflake integration from Adapters loads contacts, companies, deals, and engagement events from HubSpot into Snowflake tables on an incremental schedule, so pipeline and attribution models run on a full history instead of a manual export. Field mapping is no-code.

How much does the HubSpot Snowflake integration cost?

Pricing is flat and monthly: Starter at $49, Growth at $149, Scale at $399. Every plan includes this pair, visual field mapping, and per-record logs. There are no per-task or per-row fees, so the bill stays the same as volume grows.

How often can Adapters sync HubSpot to Snowflake?

Hourly on Starter, every 5 minutes on Growth, and down to every minute on Scale. Failed records retry automatically with backoff, and alerting plus a full per-record log come standard on every run.

Do I need to write code to connect HubSpot and Snowflake?

No. Fields are auto-mapped the moment you pick the pair, and you can rewire any mapping visually before the first sync. Incremental loads use the HubSpot hs_lastmodifieddate watermark so each run moves only changed records into Snowflake; deal amounts cast to NUMBER, millisecond timestamps become TIMESTAMP_NTZ in UTC, and deals, contacts, and companies land in their own tables so attribution and pipeline models read one clean, deduplicated dataset.

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Browse the full api connector library, or request a pair you do not see.

HubSpot and Snowflake, finally in agreement

Map the pair once and let it sync on schedule. Flat price from $49 a month, no per-task fees.

Try the live demo

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