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Data warehouse · Two-way sync platform

Google Cloud Platform integration.

Connect your Google Cloud Platform workflow to the systems your business runs on. Work with a Stacksync engineer to confirm the connection and required operations, starting with Firestore documents.

Set this up from Claude or ChatGPT
  • Review your systems with an integration engineer
  • Get a scoped implementation and validation plan

Adopted by fast-scaling companies moving mission-critical data in real time

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Record types

Google Cloud Platform records to discuss.

These Google Cloud Platform record examples help scope a technical review. They are not a list of verified Stacksync operations.

BigQuery datasets
Identify this record type and the operation you need to review with Stacksync.
BigQuery tables
Identify this record type and the operation you need to review with Stacksync.
Cloud SQL databases
Identify this record type and the operation you need to review with Stacksync.
See 3 more record examples
Cloud Storage objects
Identify this record type and the operation you need to review with Stacksync.
Pub/Sub topics
Identify this record type and the operation you need to review with Stacksync.
Firestore documents
Keep file/object ID, container, and version. A path can change and a filename can repeat.
Connection setup

Google Cloud Platform connection requirements.

Review Google Cloud Platform access and the operations your workflow needs with Stacksync. The vendor API reference below can help your administrator prepare for that discussion.

Prepare access and scope for the engineering review
  • Identify the Google Cloud Platform account, edition, environment, and business objects the integration must access.
  • Confirm a Stacksync connector or implementation path for Google Cloud Platform, including read/write support, authentication, and initial-load limits.

Integration design

Match records and fields for your Google Cloud Platform integration.

Choose the dataset grain, stable business key, and model refresh schedule. If results update an application, restrict writes to fields owned by the analytical process.

Use these design questions to prepare a representative record and the business rules your integration must preserve.

Explore record matching and field-mapping checks
Google Cloud PlatformSource record IDKeep the account and record type
Record matchingSource ID ↔ destination IDLink the same record across systems
Selected destinationDestination record IDPreserve its local key and rules
Conceptual identity model. Keep source and destination IDs linked so an update reaches the right record. Confirm the supported sync direction separately.
Match the same record in both systems
Keep file/object ID, container, and version. A path can change and a filename can repeat.
Load related records in the right order
Resolve folder/container and parent-record references before attaching metadata.

Mapping checks by record type

Firestore documents

Confirm object support with Stacksync

Identity
Keep file/object ID, container, and version. A path can change and a filename can repeat.
Fields to consider
Source file ID · Container reference · Version · Metadata · Access classification
Related records to resolve first
Resolve folder/container and parent-record references before attaching metadata.
Test before going live
Test a renamed file, a new version, a moved folder, and an access-restricted document.

Download the field-mapping workbook (CSV) to capture the actual API fields, matching keys, owners, and test results. Use it as you build with your team or a Stacksync engineer.

Setup and validation

Validate the Google Cloud Platform integration in four steps.

The destination can trace a value to its source dataset and computation time, and a model refresh does not create duplicate operational records.

View the four setup tests and expected results

  1. Confirm the intended Google Cloud Platform account and grant

    After confirming an implementation path, validate the selected access method with the intended account and environment. Check that the authorizing user can grant access to the selected objects; test reauthorization without changing the mapped record identity.

    Expected result: The connection reaches the intended account, and the integration owner can renew or revoke the grant through the agreed procedure.

  2. Test record matching for Firestore documents

    Using the implementation established in the compatibility review, preserve the selected source ID and resolve the required references. Test a renamed file, a new version, a moved folder, and an access-restricted document.

    Expected result: The destination can trace a value to its source dataset and computation time, and a model refresh does not create duplicate operational records.

  3. Test the operation your workflow needs

    Review one Google Cloud Platform record with a Stacksync engineer. Confirm how it should reach the other system, how often it must update, and whether your workflow needs reads, creates, or updates. Test those operations before expanding the integration.

    Expected result: The selected operation is confirmed, addresses the intended record, and exposes rejected values for repair.

  4. Test recovery and name the support owner

    For the confirmed implementation, interrupt a non-production transfer and restore access. Establish whether recovery uses the current source state or a stored historical event, and verify that repeated delivery preserves record identity.

    Expected result: The records have the expected current values, repeated delivery creates no duplicate business record, and your team knows who handles unresolved errors.

Use the production-readiness checklist to record test results, assign support owners, and agree on when to go live.

Troubleshooting

Troubleshoot your Google Cloud Platform integration.

Diagnose record matching, delayed changes, and rejected operations
A Google Cloud Platform record appears under the wrong destination record
Keep file/object ID, container, and version. A path can change and a filename can repeat. Resolve folder/container and parent-record references before attaching metadata. Repair the ID relationship before repeating the operation.
The first load looks correct but later results differ
Confirm the selected Google Cloud Platform implementation’s change-detection method for Firestore documents. Compare later changes with the original source rather than using a successful initial copy as evidence of ongoing capture.
One operation succeeds while another is rejected
Check the specific Google Cloud Platform object, field permissions, required references, and allowed operation. A successful read does not establish that a create, update, deletion, or business action is available.

Review retry, replay, and recovery behavior before repeating an operation that may already have succeeded.

Review your Google Cloud Platform workflow with an engineer

Google Cloud Platform integration guides

FAQ

Google Cloud Platform connector FAQ

How should I plan an integration with Google Cloud Platform?

Choose the dataset grain, stable business key, and model refresh schedule. If results update an application, restrict writes to fields owned by the analytical process. Confirm the connection and read/write operations with Stacksync. Start with one workflow, agree on which fields each system owns, then test initial data, later changes, and recovery before expanding.

Can the Google Cloud Platform connector write changes back?

Write-back support is not established for this connection. Review the Google Cloud Platform records and fields you need with a Stacksync engineer, then test the required operation with a representative record.

Which identifiers should I preserve for Google Cloud Platform data?

Keep file/object ID, container, and version. A path can change and a filename can repeat.

Which related records should I load first for Google Cloud Platform?

Resolve folder/container and parent-record references before attaching metadata.

How do I validate Google Cloud Platform changes after the initial load?

Test a renamed file, a new version, a moved folder, and an access-restricted document. The destination can trace a value to its source dataset and computation time, and a model refresh does not create duplicate operational records.

What will we cover in a Google Cloud Platform integration demo?

Start with one workflow and a sample record from Firestore documents. We can review how to identify the record, connect related data, set the update direction, and test recovery. Include the person who owns the source system and anyone who will maintain the integration; you do not need a finished requirements document.

AI assistant

Set up Google Cloud Platform 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

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

In ChatGPT

  1. Open Settings → Apps → Advanced settings and turn on Developer mode.
  2. Select Create app, name it Stacksync, enter https://mcp.stacksync.com/mcp and choose OAuth.
  3. 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 Google Cloud Platform and another app or database.

Also from the same chat

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

  • “Build a workflow that messages our team in Slack when a Google Cloud Platform record changes.”
  • “Create a Genie that answers questions about our Google Cloud Platform 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.

Explore Google Cloud Platform connections

Choose the other system in your workflow. Each guide explains the connection options, available operations, field mapping, and setup checks for that pair.

287 integration guides

CRM · 44

ERP · 38

Database · 50

Data warehouse · 28

Business productivity · 40

Accounting and finance · 17

AI · 5

Analytics · 7

Communications · 6

Developer tools · 11

E-commerce · 8

Human resources · 14

Marketing · 9

Security and identity · 6

Storage · 4

SECURITY

Security teams trust Stacksync

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.

Learn more about security
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS

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:

OAuth 2SSH TunnellingSSL certificatesIP WhitelistingVPN gatewayVPC peeringand more
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Connect the systems your business runs on.
Build your next workflow with Stacksync.

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