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Front and Snowflake integration — two-way sync

Keep supported Front and Snowflake records aligned with two-way 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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Front
Snowflake
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Example workflow

Message or conversation reporting workflow

Object-specific availability and field permissions determine this mapping. Use the restrictions shown for each record type.

Starting eventA change involving Front Conversations or the proposed message or conversation table in Snowflake needs a defined result in the other system.

  1. Start with Front Conversations and the proposed message or conversation table in Snowflake. Use the record-matching and field-ownership rules from your mapping worksheet.

  2. Resolve conversation, participant, and customer context before associating messages.

  3. Test a normal update and one failed or repeated update in the supported direction. Keep both record IDs with the test results.

What to verifyTest a delivery-state change, repeated message, private conversation, and reply linked to the correct thread.

Review records and field ownership

Mapping essentials

Records and field ownership

Match records by stable IDs and assign an owner for each field. The record notes identify the coverage to check.

Download the mapping worksheet

CSV · No email required

Example record relationships between Front and Snowflake
Front recordSnowflake recordRecord matchingField ownership
ConversationsProposed record; confirm Stacksync object support.Reporting datasetProposed message or conversation tableProposed table; choose its name and schema.Retain message ID, conversation/thread ID, channel, and sender identity.Separate message history from actions that send new messages; preserve private/public visibility and channel consent.
ContactsDocumented record: SupportedReporting datasetProposed contact tableProposed table; choose its name and schema.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.Keep consent and communication preferences under an agreed authority; a general contact update must not silently resubscribe someone.
AccountsDocumented record: SupportedReporting datasetProposed company tableProposed table; choose its name and schema.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.Assign ownership separately for relationship details and finance-controlled billing details.

Use writable fields from the connected accounts. Read values from read-only fields without writing changes back to them, and define deletion handling separately.

Why teams connect Front and Snowflake

Put your Front 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 Front and Snowflake workflow to test, define what success looks like, and decide who handles failed updates.

  • Analyze first-response and resolution times across Front Inboxes with SQL in Snowflake.

  • Join Front Accounts and Contacts to warehouse revenue data to score customer health.

  • Retain a full history of Front Conversations in Snowflake for long-term analysis.

What records can you sync?

Start with the records your workflow needs. Check each system’s read and write requirements before mapping fields.

Front

Read and write support varies by record

Record types covered in the setup guide

Record typesCoverage and requirements
  • Accounts
  • Contacts
  • Contact Groups
  • Events
✅ Supported. Confirm field permissions and sync direction.

Read the Front connector guide

Snowflake

Read and write support varies by record

Record types covered in the setup guide

Record typesCoverage 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

Connection essentials

Review how each system connects, detects changes, and permits access to your records.

View setup requirements and limits
Connection requirementFrontSnowflake
Integration interfaceREST API (Core API)SQL via JDBC/ODBC and native drivers, plus the Snowflake SQL REST API
AuthenticationOAuth authorization via the Stacksync UIDedicated Snowflake service user + role with RSA key-pair authentication
Change detectionThe saved Stacksync guide does not specify the change-detection mechanism.The saved Stacksync guide does not specify the change-detection mechanism.
Read accessAvailable for supported recordsAvailable for supported records
Write accessAvailable for supported recordsAvailable for supported records

Enterprise controls

Security and control for your integrations

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Compliance and data transfers

As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.

  • SOC 2 Type II
  • ISO 27001
  • HIPAA BAA
  • GDPR
  • CCPA
  • DPF US-EU-UK-CH

SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

Record-level recovery

Inspect sync errors and use retry and revert controls to resolve failed updates.

Read the recovery guide

Implementation

Technical reference

Review setup, record relationships, testing, and recovery for your implementation.

Authentication, permissions and API limits

Connection requirements and limits

Front
Integration interface
REST API (Core API)
Authentication
OAuth authorization via the Stacksync UI ("Connections" > "create new connection" > "Front" > "Authorize") — no coding required
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
Setup requirements
  • Create a Front connection in Stacksync and complete the authorization flow.
  • Check the documented Accounts, Contacts, Contact Groups, and Events coverage against the required use case.
Limitations to check
  • Two-way sync is documented at connector level. The object list does not specify writable fields or change-detection behavior; validate both for the selected records.
Technical documentation

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

Front 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
Setup requirements
  • 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.
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

Prepare Front 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.

Front setup checklist
  • Create a Front connection in Stacksync and complete the authorization flow.
  • Check the documented Accounts, Contacts, Contact Groups, and Events coverage against the required use case.

Setup guides: Authorize Front

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

See Stacksync in action · Review current pricing

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

Reporting dataset

Conversations / Proposed message or conversation table in Snowflake (choose its name)

Plan a message or conversation dataset while preserving its source meaning.

Object-specific availability and field permissions determine this mapping. Use the restrictions shown for each record type.

Front
Object support to establish
Snowflake
Your database schema
Record identity
Retain message ID, conversation/thread ID, channel, and sender identity.
Field ownership
Separate message history from actions that send new messages; preserve private/public visibility and channel consent.

Fields to include

  • Source message ID
  • Thread reference
  • Delivery state
  • Timestamp
  • Related record ID
Record dependencies
Resolve conversation, participant, and customer context before associating messages.
Validation
Test a delivery-state change, repeated message, private conversation, and reply linked to the correct thread.
Recovery
Check provider delivery state before retrying a send; replaying history must not send the message again.

References: Front: Conversations documentation

Reporting dataset

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

Plan a contact dataset while preserving its source meaning.

Object-specific availability and field permissions determine this mapping. Use the restrictions shown for each record type.

Front
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
Record dependencies
Resolve the organization relationship and any owner or consent references required by the destination.
Validation
Test an email change, two records sharing an email, and a person associated with multiple organizations.
Recovery
Hold ambiguous matches for review and reconcile the person ID before retrying; preserve the consent decision already recorded by its owner.

References: Front: Contacts documentation

Reporting dataset

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

Plan a company dataset while preserving its source meaning.

Object-specific availability and field permissions determine this mapping. Use the restrictions shown for each record type.

Front
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
Record dependencies
Resolve parent organizations, business units, and currency references before dependent transactions.
Validation
Use two organizations with similar names and one with multiple business units. Verify that an update reaches the intended entity only.
Recovery
Repair the cross-system ID relationship before retrying dependent records; do not merge companies solely to remove a sync error.

References: Front: Accounts documentation

Reporting dataset

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

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

Object-specific availability and field permissions determine this mapping. Use the restrictions shown for each record type.

Front
Object support to establish
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
Record dependencies
Resolve tenant and group references and establish a protected administrative-account policy.
Validation
Test a renamed login, disabled account, missing group, and a user existing in two tenants.
Recovery
Review access impact before retrying a lifecycle change; reconcile current identity state and retain an approval trail.

References: Front: Teammates documentation

Reporting dataset

Events / Proposed event or activity table in Snowflake (choose its name)

Plan a event or activity dataset while preserving its source meaning.

Object-specific availability and field permissions determine this mapping. Use the restrictions shown for each record type.

Front
Documented record · ✅ Supported
Snowflake
Your database schema
Record identity
Keep the source event ID, source system, occurrence time, and ingestion time. Use an explicit duplicate-detection key.
Field ownership
Decide whether the destination stores an immutable history or only a current-state summary.

Fields to include

  • Source event ID
  • Event type
  • Occurred-at time
  • Related record ID
  • Payload version
Record dependencies
Resolve the related customer, user, or transaction identity without assuming the event ID is the entity ID.
Validation
Deliver the same event twice, then an older event after a newer one; verify duplicate and ordering behavior.
Recovery
Identify side effects already completed before replaying an event; use the agreed deduplication key.

References: Front: Events documentation

Compare integration approaches

Use Front Conversations and Snowflake Proposed message or conversation 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 message ID, conversation/thread ID, channel, and sender identity. 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 Front 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 Conversations / Proposed message or conversation table in Snowflake (choose its name), update direction, account tier, and related-record handling.

Custom API or workflow

Best fit
Consider when Front 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 Front / 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 scenarios and expected results

Message or conversation reporting workflow

Object-specific availability and field permissions determine this mapping. Use the restrictions shown for each record type.

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

  1. Start with Front Conversations and Snowflake Proposed message or conversation table in Snowflake (choose its name). Use the record-matching and field-ownership rules from your mapping worksheet.
  2. Resolve conversation, participant, and customer context before associating messages.
  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 delivery-state change, repeated message, private conversation, and reply linked to the correct thread.

If it fails: Check provider delivery state before retrying a send; replaying history must not send the message again.

Contact reporting workflow

Object-specific availability and field permissions determine this mapping. Use the restrictions shown for each record type.

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

  1. Start with Front Contacts 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.

Company reporting workflow

Object-specific availability and field permissions determine this mapping. Use the restrictions shown for each record type.

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

  1. Start with Front Accounts 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.

Preserve service context between Front and Snowflake

Validate the selected objects and operations even where connector-level direction is documented.

Starting event: A case or customer conversation in Front needs context from Snowflake.

  1. Select Accounts or Contacts and identify the customer, case, and conversation IDs separately.
  2. Decide which public status or approved context can appear with a selected destination dataset; keep private notes, participants, and file access within the intended audience.
  3. Model reopened or merged cases and linked work items explicitly instead of assuming identical status workflows.

Expected result: A reopened or merged case retains its customer relationship; private service content is not exposed through another system.

If it fails: Review the current case/thread and any message already sent before retrying; a status repair should not create another reply.

Initial load and acceptance testing

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

Conversations / Proposed message or conversation table in Snowflake (choose its name)

Test case

Test a delivery-state change, repeated message, private conversation, and reply linked to the correct thread.

Expected result

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

Contacts / 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.

Accounts / 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.

Teammates / 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.

Failed updates, retries and recovery

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

Rejected or repeated message or conversation change

Investigate

Inspect Front Conversations and Snowflake Proposed message or conversation table in Snowflake (choose its name), their IDs, and the destination error.

Next action

Check provider delivery state before retrying a send; replaying history must not send the message again.

Rejected or repeated contact change

Investigate

Inspect Front Contacts 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 company change

Investigate

Inspect Front Accounts 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.

A record type or update is unavailable

Investigate

Check the Front 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.

Change detection and update delivery

How updates move between Front 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.

Front 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 Front 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 Front. 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.
FAQ

Front and Snowflake integration FAQ

Further reading

Guides and resources

Next step

See your workflow in Stacksync

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

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