Connect Google Analytics to PostgreSQL
Automate workflows between Google Analytics and PostgreSQL. No coding required.
What you can automate between Google Analytics and PostgreSQL
These are the most popular automations teams set up between Google Analytics and PostgreSQL. Each one runs automatically once activated — no manual steps.
Insert record when report generated
Add a new row or document automatically when when a new report is ready.
Log event when new record created
Record an analytics event automatically when when a new row or document is added.
Sync Google Analytics changes to PostgreSQL
Keep PostgreSQL updated when when a metric crosses a limit.
What syncs between Google Analytics and PostgreSQL
When an event occurs in Google Analytics, the relevant data is automatically sent to PostgreSQL. Arahi maps the fields between both apps so the data arrives in the right format — no manual formatting or exports required.
Data from Google Analytics
- Reports
- Dashboard data
- Metrics
- Time-series data
- Aggregations
Data from PostgreSQL
- Records / documents
- Collection items
- Field values
- Timestamps
- Unique IDs
How to connect Google Analytics to PostgreSQL
Follow these steps to set up your integration. The entire process takes under 5 minutes.
What you'll need
- An active Google Analytics account
- An active PostgreSQL account with read/write permissions
- A free Arahi AI account (sign up takes 30 seconds)
Create your Arahi AI account
Sign up at app.arahi.ai — it's free and takes 30 seconds. No credit card required. You'll land on the dashboard where you can create your first workflow.
Authenticate Google Analytics
Click "Add Connection" and select Google Analytics from the app directory. You'll be redirected to Google Analytics's authorization page. Grant Arahi access to your dashboards, reports, and datasets. You select which data sources the integration can read.
Authenticate PostgreSQL
Same process for PostgreSQL. Click "Add Connection," select PostgreSQL, and authorize access. Grant Arahi read/write access to your database collections and records. You specify which databases and collections the integration can use.
Choose your trigger
Select what event starts the workflow. For this integration, popular triggers include: report generated in google analytics or new record created in postgresql. The trigger fires automatically whenever that event happens — no manual intervention.
Configure the action
Define what happens when the trigger fires. For example: insert record in postgresql. Map the data fields between Google Analytics and PostgreSQL so the right information lands in the right place.
Test and activate
Run a test to confirm data flows correctly between Google Analytics and PostgreSQL. Check that the fields map as expected, then toggle the workflow on. It runs 24/7 from here — Arahi handles retries, error logging, and monitoring automatically.
Why connect Google Analytics and PostgreSQL?
Manually moving data between Google Analytics and PostgreSQL is error-prone and eats into your team's productive hours. Connecting them through Arahi eliminates that overhead — events in one app trigger actions in the other automatically.
Tips for your Google Analytics + PostgreSQL integration
Get more out of this integration with these best practices.
Who uses the Google Analytics + PostgreSQL integration?
Teams across industries connect Google Analytics and PostgreSQL to streamline their workflows.
Data analysts building dashboards who rely on PostgreSQL for databases
Backend engineering who need real-time data from Google Analytics
Data teams and backend engineering collaborating across tools
Frequently asked questions
Everything you need to know about connecting Google Analytics and PostgreSQL.
How do I connect Google Analytics to PostgreSQL?
Sign up for a free Arahi AI account, then click "Add Connection" to authenticate both Google Analytics and PostgreSQL via OAuth. Choose a workflow template — like syncing data analytics events to databases actions — customize the field mapping, and activate. The entire setup takes under 5 minutes.
What can I automate between Google Analytics and PostgreSQL?
You can automate a wide range of workflows: sync new Google Analytics events to PostgreSQL actions, trigger PostgreSQL updates when Google Analytics data changes, create PostgreSQL records from Google Analytics events, and build conditional workflows with filters and field mapping. Each workflow runs 24/7 with automatic retries.
Is the Google Analytics and PostgreSQL integration free?
Arahi AI includes 100 free actions per month on the Starter plan — enough for most small teams. If your Google Analytics-to-PostgreSQL workflows need more volume, paid plans start at $29/month with unlimited workflows and priority execution.
Is my Google Analytics data secure when connected to PostgreSQL?
Yes. Arahi uses OAuth 2.0 for authentication — we never store your Google Analytics or PostgreSQL passwords. All data is encrypted in transit (TLS 1.3) and at rest (AES-256). Your data analytics data is only accessed when a workflow runs, and you can revoke access at any time from your Arahi dashboard.
Can I sync data both ways between Google Analytics and PostgreSQL?
Yes. You can set up workflows that trigger from either Google Analytics or PostgreSQL. For example, create a workflow where Google Analytics events update PostgreSQL, and a separate one where PostgreSQL changes sync back to Google Analytics. Each direction is configured independently so you have full control.
Do I need technical skills to connect Google Analytics and PostgreSQL?
No coding is required. Arahi's visual workflow builder lets you configure triggers, actions, and field mapping with clicks. If you can use Google Analytics and PostgreSQL, you can set up the integration. Most users are running their first workflow within 10 minutes.
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