Can you integrate Snowflake with Visibility ERP?

Explore a Snowflake and Visibility ERP integration with a Stacksync engineer. Stacksync support for Visibility ERP is not established by the connector documentation reviewed for this page. Start with one record and the update your business needs to identify an implementation path.

Can Snowflake and Visibility ERP sync in both directions?

Confirm two-way support with Stacksync for the records and fields you need in both systems. Access to a vendor API does not confirm that its Stacksync connector supports write-back.

How fast does the Snowflake to Visibility ERP sync run?

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

Will existing duplicates merge automatically?

No. Stacksync documents that pre-existing duplicates are not merged automatically when two-way sync begins. Review the initial dataset and matching plan before enabling it; an empty destination can simplify the first load.

How do I map Snowflake fields to Visibility ERP?

Start with one business entity and a stable record ID. Map a small set of editable fields with compatible types, test required values and relationships, then expand after the pilot passes.

What should I do if a record fails to sync?

Check the destination error, field constraints, permissions, and current source value. The Stacksync issues dashboard supports retry and revert; retry reads current source values, so verify the intended record state before acting.

What does a Snowflake and Visibility ERP integration cost?

Use the current Stacksync pricing page and confirm the supported implementation with the team. Scope the required objects, record volume, update frequency, initial load, and support needs when comparing a managed connector with native or custom development.

Which records should the Snowflake and Visibility ERP pilot start with?

Start by reviewing Proposed customer table in Snowflake (choose its name) in Snowflake and Customers in Visibility ERP. Check how these records relate in your workflow, then confirm the actual fields and supported operations. Test record matching and one failed or repeated update before adding more records.

What should be ready before the Snowflake and Visibility ERP initial load?

Prepare both accounts, the selected object schemas, stable source and destination IDs, and the expected outcome. Have an administrator run the documented setup script for a dedicated service user and role with RSA key-pair authentication. Identify the Visibility ERP account, edition, environment, and business objects the integration must access. Use the pair worksheet to record ownership and acceptance criteria.

Data warehouse / ERP · Two-way sync platform

Snowflake and Visibility ERP integration

Plan how Snowflake and Visibility ERP should share data across your business. Work with Stacksync engineers on record mapping, system access, and the requirements for running the integration.

Set this up from Claude or ChatGPT

Scope your workflow with an integration engineer
Review the systems, records, and updates you need

Integration planning

stacksync.com

Snowflake

Visibility ERP

Review the integration scope

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Proposed workflow

Customer reporting workflow

Planning example. Stacksync support for the required connection and record operations needs a technical review.

Starting eventA change involving the proposed customer table in Snowflake or Visibility ERP Customers needs a defined result in the other system.

Start with the proposed customer table in Snowflake and Visibility ERP Customers. Use the record-matching and field-ownership rules from your mapping worksheet.
Resolve person or company type, legal entity, business role, and any billing account before transactions.
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 an individual buyer, a company buyer, and one company with multiple billing relationships. Do not merge these into a single generic contact.

Review records and field ownership

AI assistant

Set up Snowflake and Visibility ERP from Claude or ChatGPT

Connect the Stacksync MCP server to your AI assistant, then ask for the sync in plain language. You only sign in; there is no code to write and no API key to paste.

1. Add the Stacksync MCP server

Server URL

https://mcp.stacksync.com/mcp

In Claude

Open Customize → Connectors, select + Add, then Add custom connector.
Name it Stacksync and enter https://mcp.stacksync.com/mcp.
Select Connect, sign in to Stacksync and choose your workspace.

In ChatGPT

Open Settings → Apps → Advanced settings and turn on Developer mode.
Select Create app, name it Stacksync, enter https://mcp.stacksync.com/mcp and choose OAuth.
Sign in to Stacksync, then enable Stacksync from the tools menu in a chat.

Set up Codex or Claude Code

Codex

codex mcp add stacksync --url https://mcp.stacksync.com/mcp
codex mcp login stacksync

Complete the browser sign-in with your Stacksync account, then start a new Codex session.

Claude Code

claude mcp add --transport http stacksync https://mcp.stacksync.com/mcp

Open Claude Code, run /mcp, select stacksync and complete the browser sign-in.

Then ask: “List my Stacksync workspaces.” Sign-in connects your assistant; it does not create a sync yet.

Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI and other assistants: setup steps in the docs.

2. Ask your assistant

Create a sync between my Snowflake and Visibility ERP.

Also from the same chat

You can also ask for workflows and AI agents (Genies) that use Snowflake and Visibility ERP. The assistant checks what each app supports, for example:

“Build a workflow that messages our team in Slack when a Snowflake record changes.”
“Create a Genie that answers questions about our Visibility ERP data in Slack.”

What happens next

Signs you in with your Stacksync login (OAuth). No API key is pasted into the chat.
Gives you a secure sign-in link for each app it connects; you open it and sign in to that app.
Builds the sync with your permissions in Stacksync, nothing more. Turn on Ask before every change in the MCP settings to approve each change first.

New to Stacksync? Create an account first, then sign in from your assistant.

Proposed record relationships

Records to connect

Use these examples to define record matching and field ownership for your technical review.

Download the mapping worksheet

CSV · No email required

Example record relationships between Snowflake and Visibility ERP
Snowflake record	Visibility ERP record	Record matching	Field ownership
Proposed customer tableProposed table; choose its name and schema.Reporting dataset	CustomersProposed record; confirm Stacksync object support.	Determine whether each customer represents an individual, a company, or a business-unit relationship before matching it to a contact or organization. Retain the source customer ID and destination ID; names and email alone are insufficient.	Separate the customer relationship from contact details, billing authority, and consent. Choose an owner for each field after identifying whether the customer is a person or company.
Proposed supplier bill tableProposed table; choose its name and schema.Reporting dataset	Bills of MaterialProposed record; confirm Stacksync object support.	Retain the supplier-bill ID, supplier, legal entity, and document reference; distinguish it from a customer invoice.	Accounts payable owns approval and posting; a supplier bill is not an accounts-receivable invoice.
Proposed sales order tableProposed table; choose its name and schema.Reporting dataset	Sales OrdersProposed record; confirm Stacksync object support.	Preserve both the order ID and stable line IDs. Allow one order to relate to several shipments or invoices.	Decide which system approves the order and which can cancel or amend it after fulfillment begins.

These relationships do not establish connector availability. Review the required connection and record operations with Stacksync.

Record coverage to review

Use documented coverage where available. Catalog record types are starting points for review and do not confirm Stacksync support.

Snowflake

Read and write support varies by record

Record types covered in the setup guide

Record types	Coverage 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

Visibility ERP

Connection and object support require review

Record types to review with Stacksync

Record types	Coverage and requirements
Customers Vendors Parts and Items Bills of Material Projects Work Orders	Confirm support for this record type and the direction you need.

Discuss Visibility ERP requirements

Connection essentials

Confirm Stacksync support and account requirements for undocumented connections. Interface information alone does not establish connector availability.

View setup requirements and limits

Connection requirement	Snowflake	Visibility ERP
Integration interface	SQL via JDBC/ODBC and native drivers, plus the Snowflake SQL REST API	Vendor-provided integration surface (.NET web services); direct database access is a common path in on-premise deployments
Authentication	Dedicated Snowflake service user + role with RSA key-pair authentication	Confirm the credentials, API plan, and permissions required for Visibility ERP.
Change detection	The saved Stacksync guide does not specify the change-detection mechanism.	Confirm how Stacksync detects changes for this connector and the objects you need.
Read access	Available for supported records	Confirm with Stacksync
Write access	Available for supported records	Confirm with Stacksync

Enterprise controls

Security and control for your integrations

Explore security controls

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

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

Visibility ERP

Integration interface: Vendor-provided integration surface (.NET web services); direct database access is a common path in on-premise deployments
Authentication: Confirm the credentials, API plan, and permissions required for Visibility ERP.
Change detection: Confirm how Stacksync detects changes for this connector and the objects you need.
Read access: Confirm with Stacksync
Write access: Confirm with Stacksync

Setup requirements

Identify the Visibility ERP account, edition, environment, and business objects the integration must access.
Confirm a Stacksync connector or implementation path for Visibility ERP, including read/write support, authentication, and initial-load limits.

Limitations to check

Confirm Stacksync support for Visibility ERP and the record types your workflow needs.
Review write-back, deletion handling, update timing, and account limits with the integration team.

Prepare Snowflake and Visibility ERP 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.

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

Visibility ERP setup checklist

Identify the Visibility ERP account, edition, environment, and business objects the integration must access.
Confirm a Stacksync connector or implementation path for Visibility ERP, including read/write support, authentication, and initial-load limits.

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

Talk to an engineer · Review current pricing

Record identity and field ownership

Use these data-model references to describe the records your connection needs. They are planning examples; connector availability and supported operations must be established before implementation.

Download the mapping worksheet · CSV, no email required

Reporting dataset

Proposed customer table in Snowflake (choose its name) / Customers

Plan a customer dataset while preserving its source meaning.

Planning example. Stacksync support for the required connection and record operations needs a technical review.

Snowflake: Your database schema
Visibility ERP: Object support to establish
Record identity: Determine whether each customer represents an individual, a company, or a business-unit relationship before matching it to a contact or organization. Retain the source customer ID and destination ID; names and email alone are insufficient.
Field ownership: Separate the customer relationship from contact details, billing authority, and consent. Choose an owner for each field after identifying whether the customer is a person or company.

Fields to include

Source customer ID
Person/company classification
Legal entity or business unit
Destination identity reference

Record dependencies: Resolve person or company type, legal entity, business role, and any billing account before transactions.
Validation: Test an individual buyer, a company buyer, and one company with multiple billing relationships. Do not merge these into a single generic contact.
Recovery: Hold ambiguous customer matches for review and resolve customer type before retrying dependent records.

Reporting dataset

Proposed supplier bill table in Snowflake (choose its name) / Bills of Material

Plan a supplier bill dataset while preserving its source meaning.

Planning example. Stacksync support for the required connection and record operations needs a technical review.

Snowflake: Your database schema
Visibility ERP: Object support to establish
Record identity: Retain the supplier-bill ID, supplier, legal entity, and document reference; distinguish it from a customer invoice.
Field ownership: Accounts payable owns approval and posting; a supplier bill is not an accounts-receivable invoice.

Fields to include

Source bill ID
Supplier reference
Entity
Line amounts and currency
Approval/posting state

Record dependencies: Resolve supplier, expense/account codes, entity, currency, and accounting period before bill lines.
Validation: Test a duplicate supplier document number in another entity, a partially paid bill, and a closed period.
Recovery: Verify whether the bill was approved or posted before retrying; use the approved adjustment process for posted bills.

Reporting dataset

Proposed sales order table in Snowflake (choose its name) / Sales Orders

Plan a sales order dataset while preserving its source meaning.

Planning example. Stacksync support for the required connection and record operations needs a technical review.

Snowflake: Your database schema
Visibility ERP: Object support to establish
Record identity: Preserve both the order ID and stable line IDs. Allow one order to relate to several shipments or invoices.
Field ownership: Decide which system approves the order and which can cancel or amend it after fulfillment begins.

Fields to include

Source order ID
Customer reference
Line references and quantities
Order status
Currency

Record dependencies: Create or locate the customer and products first; resolve taxes, currency, and fulfillment references.
Validation: Test a multi-line order, a partial cancellation, and two partial shipments. Compare line totals as well as the header.
Recovery: Check for an existing destination order before retrying a timed-out create; reconcile line IDs to avoid duplicate fulfillment.

Reporting dataset

Proposed supplier or vendor table in Snowflake (choose its name) / Vendors

Plan a supplier or vendor dataset while preserving its source meaning.

Planning example. Stacksync support for the required connection and record operations needs a technical review.

Snowflake: Your database schema
Visibility ERP: Object support to establish
Record identity: Use the supplier ID within its business entity; a supplier name may occur in several subsidiaries.
Field ownership: Assign responsibility for approved supplier details; restrict changes to payment instructions to the business approval process.

Fields to include

Source supplier ID
Legal name
Entity reference
Payment terms
Active status

Record dependencies: Resolve business-unit and payment-term references before purchasing transactions.
Validation: Test a supplier shared across subsidiaries and an inactive supplier referenced by an open bill.
Recovery: Review rejected supplier changes before retrying dependent bills; do not reactivate a supplier merely to make a write pass.

Reporting dataset

Proposed inventory or stock position table in Snowflake (choose its name) / Inventory

Plan a inventory or stock position dataset while preserving its source meaning.

Planning example. Stacksync support for the required connection and record operations needs a technical review.

Snowflake: Your database schema
Visibility ERP: Object support to establish
Record identity: Identify stock by product/variant, location, and any lot or serial dimension; a product ID alone is insufficient.
Field ownership: Choose the stock authority and distinguish available, reserved, and physical quantities.

Fields to include

Product reference
Location reference
Quantity type
Quantity
As-of time

Record dependencies: Resolve product, unit, warehouse/location, and lot/serial references.
Validation: Test the same SKU in two locations, a reservation, and an older snapshot arriving late.
Recovery: Reconcile the latest stock position before retrying; do not apply an old absolute quantity after new movements.

Reporting dataset

Proposed project or workspace table in Snowflake (choose its name) / Projects

Plan a project or workspace dataset while preserving its source meaning.

Planning example. Stacksync support for the required connection and record operations needs a technical review.

Snowflake: Your database schema
Visibility ERP: Object support to establish
Record identity: Keep the project ID and organization/workspace context; a project title is not a stable key.
Field ownership: Separate operational project state from access membership and financial project codes.

Fields to include

Source project ID
Workspace reference
Name
Owner
Lifecycle status

Record dependencies: Resolve workspace, owner, and any customer or budget references.
Validation: Test duplicate project names in different workspaces and an archived project with open tasks.
Recovery: Correct workspace and parent references before retrying dependent tasks.

Compare integration approaches

Choose a method around one example record and the update your business needs. Use Proposed customer table in Snowflake (choose its name) / Customers to review record matching and confirm Stacksync support for the required operations. Compare ongoing sync, a custom workflow, and a scheduled export against that requirement.

Stacksync managed sync

Best fit: Review compatibility with a Stacksync engineer using an example of the records and updates you need.
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: Determine whether each customer represents an individual, a company, or a business-unit relationship before matching it to a contact or organization. Retain the source customer ID and destination ID; names and email alone are 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 Snowflake and Visibility ERP 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 Proposed customer table in Snowflake (choose its name) / Customers, update direction, account tier, and related-record handling.

Custom API or workflow

Best fit: Consider when Snowflake and Visibility ERP 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. Separate reading history from actions that send messages, grant access, or post transactions.

File or scheduled snapshot

Best fit: Consider for a one-time Snowflake / Visibility ERP 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

Customer reporting workflow

Planning example. Stacksync support for the required connection and record operations needs a technical review.

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

Start with Snowflake Proposed customer table in Snowflake (choose its name) and Visibility ERP Customers. Use the record-matching and field-ownership rules from your mapping worksheet.
Resolve person or company type, legal entity, business role, and any billing account before transactions.
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 individual buyer, a company buyer, and one company with multiple billing relationships. Do not merge these into a single generic contact.

If it fails: Hold ambiguous customer matches for review and resolve customer type before retrying dependent records.

Supplier bill reporting workflow

Planning example. Stacksync support for the required connection and record operations needs a technical review.

Starting event: A change to the selected Proposed supplier bill table in Snowflake (choose its name) or Bills of Material record needs a defined result in the other system.

Start with Snowflake Proposed supplier bill table in Snowflake (choose its name) and Visibility ERP Bills of Material. Use the record-matching and field-ownership rules from your mapping worksheet.
Resolve supplier, expense/account codes, entity, currency, and accounting period before bill lines.
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 duplicate supplier document number in another entity, a partially paid bill, and a closed period.

If it fails: Verify whether the bill was approved or posted before retrying; use the approved adjustment process for posted bills.

Sales order reporting workflow

Planning example. Stacksync support for the required connection and record operations needs a technical review.

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

Start with Snowflake Proposed sales order table in Snowflake (choose its name) and Visibility ERP Sales Orders. Use the record-matching and field-ownership rules from your mapping worksheet.
Create or locate the customer and products first; resolve taxes, currency, and fulfillment references.
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 multi-line order, a partial cancellation, and two partial shipments. Compare line totals as well as the header.

If it fails: Check for an existing destination order before retrying a timed-out create; reconcile line IDs to avoid duplicate fulfillment.

Reconcile Visibility ERP business records with Snowflake

This is an evaluation scenario; connector and operation support require confirmation.

Starting event: A finance-owned record in Visibility ERP needs operational visibility through a selected destination dataset.

Select Customers or Vendors with the correct legal entity, period, and currency.
Define a reporting relationship in Snowflake; do not equate customer records, ledger accounts, and posted transactions.
Decide whether the process only reports a financial state or requests an approved accounting action, and maintain a separate transaction ID for each action.

Expected result: Totals reconcile within the same entity/currency/window; a repeated handoff creates no duplicate financial transaction.

If it fails: Verify posting and settlement state before retrying. Use the approved adjustment path for already-posted transactions.

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.

Proposed customer table in Snowflake (choose its name) / Customers

Test case

Test an individual buyer, a company buyer, and one company with multiple billing relationships. Do not merge these into a single generic contact.

Expected result

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

Proposed supplier bill table in Snowflake (choose its name) / Bills of Material

Test case

Test a duplicate supplier document number in another entity, a partially paid bill, and a closed period.

Expected result

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

Proposed sales order table in Snowflake (choose its name) / Sales Orders

Test case

Test a multi-line order, a partial cancellation, and two partial shipments. Compare line totals as well as the header.

Expected result

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

Proposed supplier or vendor table in Snowflake (choose its name) / Vendors

Test case

Test a supplier shared across subsidiaries and an inactive supplier referenced by an open bill.

Expected result

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

Direction and permissions

Test case

Bring an example source record and the intended destination operation to the compatibility review. Confirm the supported route before granting write access.

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 customer change

Investigate

Inspect Snowflake Proposed customer table in Snowflake (choose its name) and Visibility ERP Customers, their IDs, and the destination error.

Next action

Hold ambiguous customer matches for review and resolve customer type before retrying dependent records.

Rejected or repeated supplier bill change

Investigate

Inspect Snowflake Proposed supplier bill table in Snowflake (choose its name) and Visibility ERP Bills of Material, their IDs, and the destination error.

Next action

Verify whether the bill was approved or posted before retrying; use the approved adjustment process for posted bills.

Rejected or repeated sales order change

Investigate

Inspect Snowflake Proposed sales order table in Snowflake (choose its name) and Visibility ERP Sales Orders, their IDs, and the destination error.

Next action

Check for an existing destination order before retrying a timed-out create; reconcile line IDs to avoid duplicate fulfillment.

A record type or update is unavailable

Investigate

Check the Snowflake and Visibility ERP 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 Snowflake and Visibility ERP

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

Snowflake Visibility ERP Direction requires confirmation

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

Apply updatesConfirm that Stacksync can create or update the records you need in Visibility ERP.

Visibility ERP Snowflake Direction requires confirmation

Detect changesConfirm how Stacksync detects changes for this connector and the objects you need.

Apply updatesConfirm that Stacksync can create or update the records you need in Snowflake.

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.
Review write-back, deletion handling, update timing, and account limits with the integration team.

FAQ