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CRM / Data warehouse

Attio and Snowflake integration — two-way sync

Keep supported Attio and Snowflake records aligned with two-way data sync. Give each team access to current data while controlling which system can update each field.

  • Field mappings and sync direction under your control
  • Inspect and resolve record errors in one dashboard
Two-way sync for supported objects
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Attio
Snowflake
Explore record coverage

Teams building with Stacksync

Why teams connect Attio and Snowflake

Put your Attio and Snowflake data to work

Start with the work your team needs to complete: keep records up to date, make operational data available for reporting, or move data to a new system. Choose one Attio and Snowflake workflow to test, define what success looks like, and decide who handles failed updates.

  • 01 Model Attio Deal conversion in Snowflake by joining pipeline tables with marketing and product data.
  • 02 Serve BI dashboards from Snowflake Views over synced Attio data instead of querying the CRM API.
  • 03 Push warehouse-built segments onto Attio People so reps act on analytics without leaving the CRM.

What records can you sync?

Explore the record types and read/write requirements for each system.

AttioRead and write support varies by recordPeople · Companies · Users

Record types covered in the setup guide

Record typeCoverage and requirements
People✅ Supported. Confirm field permissions and sync direction.
Companies✅ Supported. Confirm field permissions and sync direction.
Users✅ Supported. Confirm field permissions and sync direction.
Deals✅ Supported. Confirm field permissions and sync direction.
Workspaces✅ Supported. Confirm field permissions and sync direction.
Custom objects (all)✅ Supported. Confirm field permissions and sync direction.

Read the Attio connector guide

SnowflakeRead and write support varies by recordStandard tables (including Permanent, Transient and Temporary tables) · Views (including materialized and non-materialized views) · External tables

Record types covered in the setup guide

Record typeCoverage and requirements
Standard tables (including Permanent, Transient and Temporary tables)✅ Supported. Confirm field permissions and sync direction.
Views (including materialized and non-materialized views)🕘 Coming soon. Confirm field permissions and sync direction.
External tables❌ Not supported. Confirm field permissions and sync direction.

Read the Snowflake connector guide

Implementation guideConnection requirements, mapping worksheets, testing, and recovery.

Connection requirements and limits

Attio

Integration interface
REST API
Authentication
Guided authorization in the Stacksync connection flow; the saved guide does not name the authentication protocol.
Change detection
The saved Stacksync guide does not specify the change-detection mechanism. Confirm it for the selected objects.
Read access
Available for supported records
Write access
Available for supported records

Limitations to check

  • The connector documents two-way sync, but the object table does not specify which individual fields are writable. Confirm field permissions and change detection for the intended use case.
Technical documentation

Documentation reviewed 2026-09-15. Check the linked guides for current account and record requirements.

Attio setup guide

Snowflake

Integration interface
SQL via JDBC/ODBC and native drivers, plus the Snowflake SQL REST API
Authentication
Dedicated Snowflake service user + role with RSA key-pair authentication (Stacksync-provided public key), created via a setup script requiring SECURITY_ADMIN and ACCOUNTADMIN roles
Change detection
The saved Stacksync guide does not specify the change-detection mechanism. Confirm it for the selected objects.
Read access
Available for supported records
Write access
Available for supported records

Limitations to check

  • The saved support matrix excludes external tables and marks materialized and ordinary views as not yet supported.
  • Geography and geometry fields are excluded by the saved connector guide.
Technical documentation

Documentation reviewed 2026-09-15. Check the linked guides for current account and record requirements.

Snowflake setup guide

Design your implementation

Use the worksheets and reference checks to capture record identity, ownership, and the result your business expects.

Implementation reference

Record identity and field ownership

Keep each record tied to its source ID. Use the references below to choose field owners and preserve relationships between records.

Download the mapping worksheet

CSV · No email required · Record matching, ownership, and test cases

Reporting datasetCompanies Proposed company table in Snowflake (choose its name)

Plan a company dataset while preserving its source meaning.

Attio
Documented record · ✅ Supported
Snowflake
Your database schema

Record identity

Retain the source company ID and the destination customer/company ID. Separate legal entities, subsidiaries, and business units; a shared name or web domain is insufficient.

Field ownership

Assign ownership separately for relationship details and finance-controlled billing details.

Fields to include

  • Source record ID
  • Legal or display name
  • Business-unit reference
  • Lifecycle status

References: Attio: Companies documentation

Reporting datasetPeople Proposed contact table in Snowflake (choose its name)

Plan a contact dataset while preserving its source meaning.

Attio
Documented record · ✅ Supported
Snowflake
Your database schema

Record identity

Use a stable person/contact ID and an explicit cross-system lookup. Email can change and can be shared, so treat it as a matching clue rather than a universal key.

Field ownership

Keep consent and communication preferences under an agreed authority; a general contact update must not silently resubscribe someone.

Fields to include

  • Source person ID
  • Display name
  • Email address
  • Organization reference
  • Consent state

References: Attio: People documentation

Reporting datasetDeals Proposed deal or opportunity table in Snowflake (choose its name)

Plan a deal or opportunity dataset while preserving its source meaning.

Attio
Documented record · ✅ Supported
Snowflake
Your database schema

Record identity

Keep the opportunity/deal ID separate from any later order or invoice ID.

Field ownership

The sales process owns qualification and stage changes; downstream financial records have their own state and approval rules.

Fields to include

  • Source deal ID
  • Stage
  • Amount and currency
  • Expected close date
  • Company reference

References: Attio: Deals documentation

Reporting datasetUsers Proposed application user or identity table in Snowflake (choose its name)

Plan a application user or identity dataset while preserving its source meaning.

Attio
Documented record · ✅ Supported
Snowflake
Your database schema

Record identity

Use the immutable user ID within the tenant or directory. Do not equate an application user with a CRM customer contact.

Field ownership

Identity and application owners approve account lifecycle and access changes; synchronize only approved attributes.

Fields to include

  • Source user ID
  • Tenant reference
  • Account status
  • Group references

References: Attio: Users documentation

Architecture decision

Choose how to connect your systems

Use Attio Companies and Snowflake Proposed company table in Snowflake (choose its name) for the first pilot. Verify its identity and permitted direction, then add dependent records only when the acceptance checks pass.

Stacksync managed sync

Best fit
Two-way sync for supported objects. Choose the records, writable fields, and permissions for your workflow.
Operating responsibility
Fits ongoing record synchronization when the required operations are supported. Add workflow steps for approvals or business actions that go beyond copying fields.
Before you choose
Check record matching: Retain the source company ID and the destination customer/company ID. Separate legal entities, subsidiaries, and business units; a shared name or web domain is insufficient. Verify field coverage, deletion handling, and how changes are detected.

Native vendor integration

Best fit
A vendor-built integration may fit if it supports your Attio and Snowflake record types.
Operating responsibility
Can reduce setup for a supported workflow. You may need another method for records or business steps it does not cover.
Before you choose
First check whether either vendor offers this integration. If available, verify Companies / Proposed company table in Snowflake (choose its name), update direction, account tier, and related-record handling.

Custom API or workflow

Best fit
Consider when Attio and Snowflake need a transformation, approval, or action outside a direct record sync.
Operating responsibility
Provides control over business steps; the team owns credentials, version changes, error queues, and reconciliation.
Before you choose
Verify endpoint permissions, pagination, quotas, duplicate detection, and failure recovery.

File or scheduled snapshot

Best fit
Consider for a one-time Attio / Snowflake migration or a reporting need with an explicit freshness window.
Operating responsibility
Can simplify a bounded transfer; later changes and deletion history require another extraction or a separately designed incremental process.
Before you choose
Record the extraction cutoff, source IDs, encoding, date/number formats, and reconciliation totals.

Workflow reference

From a business event to the right update

Open a workflow to see its trigger, record relationships, and expected result.

Company reporting workflow

Starting event: A change to the selected Companies or Proposed company table in Snowflake (choose its name) record needs a defined result in the other system.

  1. Start with Attio Companies and Snowflake Proposed company table in Snowflake (choose its name). Use the record-matching and field-ownership rules from your mapping worksheet.
  2. Resolve parent organizations, business units, and currency references before dependent transactions.
  3. Test a normal update and one failed or repeated update in the supported direction. Keep both record IDs with the test results.

Expected result: Use two organizations with similar names and one with multiple business units. Verify that an update reaches the intended entity only.

If it fails: Repair the cross-system ID relationship before retrying dependent records; do not merge companies solely to remove a sync error.

Contact reporting workflow

Starting event: A change to the selected People or Proposed contact table in Snowflake (choose its name) record needs a defined result in the other system.

  1. Start with Attio People and Snowflake Proposed contact table in Snowflake (choose its name). Use the record-matching and field-ownership rules from your mapping worksheet.
  2. Resolve the organization relationship and any owner or consent references required by the destination.
  3. Test a normal update and one failed or repeated update in the supported direction. Keep both record IDs with the test results.

Expected result: Test an email change, two records sharing an email, and a person associated with multiple organizations.

If it fails: Hold ambiguous matches for review and reconcile the person ID before retrying; preserve the consent decision already recorded by its owner.

Deal or opportunity reporting workflow

Starting event: A change to the selected Deals or Proposed deal or opportunity table in Snowflake (choose its name) record needs a defined result in the other system.

  1. Start with Attio Deals and Snowflake Proposed deal or opportunity table in Snowflake (choose its name). Use the record-matching and field-ownership rules from your mapping worksheet.
  2. Map the customer and sales pipeline before the opportunity; map stage values deliberately.
  3. Test a normal update and one failed or repeated update in the supported direction. Keep both record IDs with the test results.

Expected result: Test a reopened won deal, a stage with no destination equivalent, and an amount using a different currency.

If it fails: Suspend downstream creation for a rejected deal and review whether an order already exists before retrying.

Plan the customer lifecycle across Attio and Snowflake

Starting event: A customer-facing change in Attio needs operational context in Snowflake.

  1. Select the relevant People or Companies records and identify whether the downstream relationship is a person, a company, a deal, or a reporting row.
  2. Define which lifecycle transitions are informative and which should request a downstream action. Keep conversion and merge history connected to stable IDs.
  3. Choose a representative reopened deal, changed contact identity, or reassigned account to test the handoff before expanding.

Expected result: The relationship survives a lifecycle change without creating a duplicate customer or triggering an unintended business action.

If it fails: Inspect merge/conversion history and existing destination records before replaying a lifecycle transition.

Production readiness

Test the behavior your business depends on

Keep both record IDs with the expected and actual result. Reconcile the same filters and time window in each system.

Companies / Proposed company table in Snowflake (choose its name)

Test case

Use two organizations with similar names and one with multiple business units. Verify that an update reaches the intended entity only.

Expected result

The expected company relationship is preserved with no duplicate action or unintended write.

People / Proposed contact table in Snowflake (choose its name)

Test case

Test an email change, two records sharing an email, and a person associated with multiple organizations.

Expected result

The expected contact relationship is preserved with no duplicate action or unintended write.

Deals / Proposed deal or opportunity table in Snowflake (choose its name)

Test case

Test a reopened won deal, a stage with no destination equivalent, and an amount using a different currency.

Expected result

The expected deal or opportunity relationship is preserved with no duplicate action or unintended write.

Users / Proposed application user or identity table in Snowflake (choose its name)

Test case

Test a renamed login, disabled account, missing group, and a user existing in two tenants.

Expected result

The expected application user or identity relationship is preserved with no duplicate action or unintended write.

Direction and permissions

Test case

Check that each connected account can read and write the chosen objects. Exercise both directions with a test record before enabling production changes.

Expected result

Only an approved, supported direction and permitted fields are written.

Freshness and reconciliation

Test case

Measure source and destination times for the selected records under normal load and a burst. Reconcile IDs and values using the same filters and cutoff.

Expected result

The process meets its agreed freshness target and reconciliation has no unexplained differences.

Failure recovery

Find the cause. Restore the data flow.

Start with the failed record and the destination error, then inspect the source value, field requirements, and access.

Rejected or repeated company change

Investigate

Inspect Attio Companies and Snowflake Proposed company table in Snowflake (choose its name), their IDs, and the destination error.

Next action

Repair the cross-system ID relationship before retrying dependent records; do not merge companies solely to remove a sync error.

Rejected or repeated contact change

Investigate

Inspect Attio People and Snowflake Proposed contact table in Snowflake (choose its name), their IDs, and the destination error.

Next action

Hold ambiguous matches for review and reconcile the person ID before retrying; preserve the consent decision already recorded by its owner.

Rejected or repeated deal or opportunity change

Investigate

Inspect Attio Deals and Snowflake Proposed deal or opportunity table in Snowflake (choose its name), their IDs, and the destination error.

Next action

Suspend downstream creation for a rejected deal and review whether an order already exists before retrying.

A record type or update is unavailable

Investigate

Check the Attio and Snowflake connector guides, account permissions, and any operations marked On Request.

Next action

Ask the integration team to confirm a supported way to handle that record. Verify whether it needs connector configuration or a separate workflow step.

Source and destination disagree after a retry

Investigate

Compare current source values, destination validation, identity mappings, and any side effects already completed.

Next action

Stacksync issue retry reads the current source state. Decide the intended state before retrying or reverting; reconcile downstream effects separately.

Read the Stacksync issues dashboard guide for retry and revert behavior.

How updates move between Attio and Snowflake

See how each system detects changes and which updates the other system can receive. Each direction has its own permissions and record requirements.

Attio Snowflake Timing depends on the connected systems

Detect changesThe saved Stacksync guide does not specify the change-detection mechanism. Confirm it for the selected objects.

Apply updatesSelected writable fields update in Snowflake. Its permissions and validation rules still apply; rejected records can be inspected in the Issues dashboard.

Snowflake Attio Timing depends on the connected systems

Detect changesThe saved Stacksync guide does not specify the change-detection mechanism. Confirm it for the selected objects.

Apply updatesSelected writable fields update in Attio. Its permissions and validation rules still apply; rejected records can be inspected in the Issues dashboard.

Update timing and record limits

  • Measure initial-load and ongoing-change latency separately. Source detection, selected objects, account limits, and destination validation determine the observed delay.

Prepare Attio and Snowflake access

Set up both accounts before testing the mapping. Use test records where available, and identify the account administrator who can approve access and help resolve setup errors.

Attio setup checklist

  • Create an Attio connection in Stacksync and complete the guided authorization flow.
  • Check that the required objects appear in the documented catalog; confirm write-back for each intended object.

Setup guides: Authorize Attio

Snowflake setup checklist

  • Have an administrator run the documented setup script for a dedicated service user and role with RSA key-pair authentication.
  • Specify the correct warehouse, database, schema, and account identifier. Verify table grants for the service role.
  • Existing tables need a non-null primary key with a UUID_STRING() default, as specified in the connector guide.

Setup guides: Authorize Snowflake

Prepare to go live

Record the fields each system can update, the first-load cutoff, both record IDs, the expected update delay, and who handles errors. Complete the tests before production before expanding to more records.

Use the Attio and Snowflake planning worksheet to capture these decisions. Record the access owner in the worksheet and enter credentials only in the connection setup.

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Security and control for your integrations

Use SSO and SCIM to manage access, secure connection options to reach your systems, and record-level retry and revert controls to resolve sync errors.

Explore security controls
FAQ

Attio and Snowflake integration FAQ

See your workflow in Stacksync

Walk through your Attio and Snowflake records, field mappings, and requirements with an integration engineer.

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