Trigger
Google Cloud Firestore and PostgreSQL integration
Automate Google Cloud Firestore + PostgreSQL workflows
Sync Firestore data seamlessly to PostgreSQL with automated workflows. Trigger real-time updates, transform documents, and maintain synchronized databases without manual intervention using Latenode's visual builder.
Free plan availableNo credit cardDeploy in 5 min
Technical overview
What this integration can actually do
This is not a rigid connector between Google Cloud Firestore and PostgreSQL. Use native nodes where they already exist, then cover edge cases with webhook, polling, HTTP Request, or JavaScript in the same scenario.
4 triggers and 14 actions across Google Cloud Firestore and PostgreSQL
Gets data from
New Column and New or Updated Row, plus 2 more triggers
Can do
Create Document and Delete Document, plus 12 more actions
Works via
Native nodes, Webhooks, Polling, HTTP Request, JavaScript
Customizable with
field mapping, filters, branching, retries, dedupe logic, and custom API or JavaScript steps.
Capabilities
Triggers & Actions
Every event and operation available when connecting Google Cloud Firestore and PostgreSQL — from both apps.
Trigger
New or Updated Row
Trigger
New or Updated Row by Custom Query
Trigger
New Table
Production readiness
Production workflow controls
Use these controls when a workflow needs to stay stable after launch, not just pass a happy-path test.
01
Retry failed API calls
Automatically retry temporary failures before a run is marked as failed.
02
Handle 429 / rate-limit responses
Pause, back off, and continue the workflow safely when an upstream API throttles requests.
03
Add fallback branches for missing fields
Route incomplete payloads into a safe branch instead of letting the main scenario break.
04
Prevent duplicates with lookup-before-create logic
Check whether a record already exists before creating a new one in the destination system.
05
Use JavaScript to normalize dates, phone numbers, tags, and statuses
Clean and standardize values before mapping them into downstream fields.
06
Store execution logs for debugging
Keep a trace of what happened in every run so production issues are easier to inspect.
07
Route failed runs to email or a database
Notify the team or save failures for follow-up when a run cannot complete successfully.
08
Manually rerun failed executions
Replay a failed run after the issue is fixed without rebuilding the scenario from scratch.
Example payload
See what the workflow receives and returns
Show one real event and one real result so technical users can understand the payload shape before they connect accounts or customize the scenario.
Source event
JSON{"event": "client_added","client": {"id": "client_123","firstName": "Alex","lastName": "Smith","status": "active","tags": ["online-coaching"]}}Scenario result
JSON{"target": "wix_contact","operation": "upsert","dedupeBy": "email","status": "created"}Setup
Connect both apps in 3 steps
No developer needed. From credentials to live workflow in under 10 minutes.
01
Connect Google Cloud Firestore
Authenticate Google Cloud Firestore in Latenode's Credentials panel. You'll need access to your Google Cloud Firestore account and permissions to create connections.
02
Connect PostgreSQL
Add PostgreSQL credentials (OAuth or API key, depending on the app). Latenode stores credentials securely and never saves your passwords.
03
Build and go live
Pick a trigger and an action, test with real data, then toggle your workflow to Live — done.
Build your Google Cloud Firestore + PostgreSQL automation
Choose a trigger and an action to build your workflow.
When this happens in PostgreSQL...
...do this in Google Cloud Firestore
Or
Describe your automation — press Build to open it in the editor.
Yes! Latenode provides a native integration between Google Cloud Firestore and PostgreSQL. You can connect them in minutes using our visual workflow builder — no coding required.
Use cases
Explore each app
Start from either hub, then mix triggers and actions with the rest of your stack.
About Google Cloud Firestore
Google Cloud Firestore is a fully managed, serverless NoSQL database designed to store, sync, and query data for web and mobile applications. With real-time synchronization, Firestore allows developers to build responsive user experiences by automatically updating data across multiple clients. It supports offline capabilities, making it ideal for applications that require reliable data access even without an internet connection. Firestore's flexible data model and robust querying capabilities enhance scalability and performance, ensuring your application can grow seamlessly.
Learn morePopular Google Cloud Firestore pairs
Google Cloud Firestore + DatabaseGoogle Cloud Firestore + LinkedInGoogle Cloud Firestore + DatabaseGoogle Cloud Firestore + AttioGoogle Cloud Firestore + AlgoliaGoogle Cloud Firestore + DiscordGoogle Cloud Firestore + ConvertKitGoogle Cloud Firestore + ActiveCampaignGoogle Cloud Firestore + GmailGoogle Cloud Firestore + Google drive
About PostgreSQL
PostgreSQL is a powerful, open-source object-relational database system that emphasizes extensibility and SQL compliance. It supports advanced data types, full-text search, and complex queries, making it suitable for a wide range of applications. With features like support for concurrency without read locks, ACID compliance, and multi-version concurrency control (MVCC), PostgreSQL ensures data integrity and performance. Its robust community offers a wealth of extensions and tools, enhancing functionality while providing users with the flexibility to scale and adapt their database solution to meet evolving needs.
Learn moreStart automating Google Cloud Firestore + PostgreSQL today
Join 14,000+ teams who use Latenode to build powerful, reliable automations — without writing a line of code.
Get started freeFree plan · No credit card · 5-minute setup