PostgreSQL to Google Sheets: Connect & Auto-Sync in 10 Minutes (2026)

PostgreSQL is the database under most modern SaaS products, and the one finance, ops, and growth teams keep asking to look inside. The friction is that Postgres lives in the engineering team's stack, and Sheets lives in everyone else's. This guide covers every realistic path in 2026: Apps Script with the JDBC driver, manual psql / pg_dump exports, Postgres-native federation tricks, and a no-code add-on. Then a full Brooked walkthrough including the variants for RDS, Supabase, Neon, and Railway.

Quick comparison: 4 ways to get Postgres data into Sheets

Method 1. Apps Script with the Postgres JDBC driver

Google Apps Script ships with a Jdbc service that connects to Postgres directly. Open a Sheet, Extensions → Apps Script, paste a script, run.

function importPostgresToSheet() {
  const url = 'jdbc:postgresql://HOST:5432/DATABASE?ssl=true&sslmode=require';
  const conn = Jdbc.getConnection(url, 'USERNAME', 'PASSWORD');
  const stmt = conn.createStatement();
  const rs = stmt.executeQuery('SELECT id, name, created_at FROM users WHERE created_at >= NOW() - INTERVAL \'30 days\'');

  const sheet = SpreadsheetApp.getActiveSpreadsheet().getActiveSheet();
  sheet.clearContents();

  const meta = rs.getMetaData();
  const cols = meta.getColumnCount();
  const headers = [];
  for (let c = 1; c <= cols; c++) headers.push(meta.getColumnName(c));
  sheet.appendRow(headers);

  while (rs.next()) {
    const row = [];
    for (let c = 1; c <= cols; c++) row.push(rs.getString(c));
    sheet.appendRow(row);
  }
  rs.close(); stmt.close(); conn.close();
}

Schedule via the Apps Script Triggers menu. Pros: Free, full control, no third party. Cons: 6-minute execution limit. Credentials in plaintext unless you move them to Script Properties. Schema changes break it silently.

Cloud-specific connection strings (RDS, Supabase, Neon, Cloud SQL)

The most common Apps Script failure: copy-pasting the standard postgres:// URI that your hosting provider hands you, which Apps Script's JDBC service doesn't understand. The provider gives you a connection URI; you need a JDBC URL. Here are the templates for each major host:

• Amazon RDS / Aurora PostgreSQL

  JDBC URL

  jdbc:postgresql://your-instance.region.rds.amazonaws.com:5432/dbname?ssl=true&sslmode=require

  Find host under RDS → Databases → your instance → Connectivity & security → Endpoint. Add Google's IP ranges to the security group inbound rules, port 5432.

• Supabase

  JDBC URL

  jdbc:postgresql://aws-0-region.pooler.supabase.com:6543/postgres?sslmode=require

  Use the connection pooler (port 6543) for short-lived script connections, not the direct port 5432. Supabase free tier has a low direct connection limit. Find the string in Project Settings → Database → Connection pooling.

• Neon

  JDBC URL

  jdbc:postgresql://ep-name-12345.region.aws.neon.tech:5432/dbname?sslmode=require

  By default Neon is open to all IPs; if you've enabled the IP allow-list, add Google Apps Script IP ranges or pin to the connector's specific IPs. Use the pooled connection string for Apps Script.

• Google Cloud SQL for PostgreSQL

  JDBC URL

  jdbc:postgresql://PUBLIC-IP:5432/dbname?ssl=true&sslmode=require

  Cloud SQL Auth Proxy doesn't work from Apps Script. Either use the public IP with Authorized Networks (add Google's outbound IPs) or place a Cloud Run proxy in front.

• Azure Database for PostgreSQL

  JDBC URL

  jdbc:postgresql://your-server.postgres.database.azure.com:5432/dbname?ssl=true&sslmode=require

  Username format is <user>@<server-name>, not just <user>. Azure firewall rules must allow the connector's IPs, or 'Allow access to Azure services' must be on.

Method 2: psql or pg_dump → CSV → Sheets

The manual path. From the command line:

psql "$DATABASE_URL" -c "COPY (SELECT id, name, created_at FROM users WHERE created_at >= NOW() - INTERVAL '30 days') TO STDOUT WITH CSV HEADER" > users.csv

Then File → Import in Sheets. Pros: Zero setup, free, works for any query complexity. Cons: Snapshot only, manual every time, requires CLI access to a Postgres client.

Method 3. Postgres FDW or dblink for federation

Postgres-native foreign data wrappers (postgres_fdw) and dblink let you query other Postgres databases from inside a Postgres session. This isn't really a Sheets-export path. It's how you'd write cross-database queries inside SQL, but it sometimes shows up in these queries. Mentioning for completeness; for actually getting results into Sheets you still need one of the other three methods.

Method 4, A Google Sheets add-on (Brooked, Coefficient, Supermetrics)

If Postgres data needs to live in Sheets on an ongoing basis: across a team, on a schedule, with someone who isn't going to maintain a script - an add-on is the right answer. There are three credible options in 2026: Coefficient (premium tier from $83/user/month annual), Supermetrics (database connector from $159/month), and Brooked ($29/user/month, with PostgreSQL on every tier including Free).

We're going to walk through Brooked because (a) it's what we make, and (b) it's the only option that ships two-way write-back and a native AI agent on every database connector without a price-tier gate. If you're evaluating, the Brooked vs Coefficient and Brooked vs Supermetrics pages have full side-by-side comparisons.

Supported PostgreSQL hosts (Brooked)

• Amazon RDS for PostgreSQL and Aurora PostgreSQL
• Supabase (via connection pooler on port 6543)
• Neon (serverless Postgres: pooled and direct endpoints)
• Google Cloud SQL for PostgreSQL
• Azure Database for PostgreSQL. Flexible Server
• Railway, Render, Fly.io managed Postgres
• Self-hosted PostgreSQL 12+ (including citus, TimescaleDB, pgvector)

Step 1. Install Brooked

Install Brooked from the Google Workspace Marketplace. Free tier covers 100 imports per month with AI Analyst included.

Step 2. Connect PostgreSQL

In the Brooked sidebar: Add data source → PostgreSQL. For managed providers, click the provider preset (Supabase / Neon / Railway / RDS / Cloud SQL / Azure) and paste the connection string - Brooked parses the host, port, database, and SSL settings automatically. For self-hosted Postgres, fill the fields manually. SSL is on by default and recommended for production.

Most managed services need you to allow Brooked's egress IPs through the security group, Authorized Networks, or Firewall rules. Brooked surfaces the exact IPs in the sidebar during this step.

Step 3. Run a query and import results

Click New import. Write your SQL or browse the schema and pick a table. Preview the first 10 rows, pick a destination cell, click Import. Toggle Auto-refresh in settings to schedule (15 min / hourly / daily / weekly).

Step 4. Two-way write-back (optional)

Click 'Convert to two-way sync' on any import. Map sheet columns to Postgres columns, pick a primary key, choose write mode (INSERT, UPDATE, UPSERT, DELETE). UPSERT compiles to INSERT … ON CONFLICT … DO UPDATE. Every write goes through an audit log.

Using the AI agent with PostgreSQL

Open Chat. Ask: "What's our weekly active user count?" or "Which customers had their first order this month?" The agent introspects your schema, writes the SQL, runs it, and drops the result into the sheet. For follow-up cohort analysis, the agent can drop into a Python sandbox with pandas pre-loaded.

Brooked AI, PostgreSQL

Live

Ask anything about your PostgreSQL data…

What about Microsoft Excel?

Brooked is Sheets-native. For Excel, options are: (a) Excel's native From Database → From PostgreSQL via the Npgsql driver (free, per-user setup, refresh requires Excel open); (b) ODBC DSN; (c) Coefficient for both Excel and Sheets on its Pro tier; (d) standardise on Sheets + Brooked for live data and .xlsx export for offline snapshots: what most teams settle on.

Sending data the other way: Google Sheets to PostgreSQL

Most of the traffic on this topic runs one direction. Postgres into Sheets, but a meaningful slice of teams need the reverse: someone edits a sheet and that change needs to land back in the database. The DIY route is the same Apps Script Jdbc service from earlier, except instead of a SELECT you build an INSERT or UPDATE statement from each row and execute it in a loop: workable for small sheets, but you're now writing to production data from a script with plaintext credentials and no audit trail, which is a much higher-stakes mistake than a broken read.

For bulk one-off writes, Postgres's own COPY command is faster and more reliable than looping INSERTs: export the sheet to CSV, then run COPY table_name FROM STDIN WITH CSV HEADER from psql. It's a manual step each time, but for a once-a-quarter bulk load of vendor data or a one-time migration it beats writing a script you'll only run once.

For anything recurring, a two-way sync add-on is the practical answer , map sheet columns to table columns, pick a write mode (INSERT, UPDATE, UPSERT, DELETE), and let the tool handle conflict resolution and logging. Brooked's two-way sync (covered in Step 4 above) works the same way for Postgres as it does for MySQL. See writing data from Google Sheets back to MySQL for the same pattern applied to a different engine, or the general Google Sheets two-way sync guide for the concepts that apply regardless of database.

Hosted Postgres: Supabase, Neon, and RDS

The three hosted Postgres providers that show up most often in this workflow each have their own quirks worth knowing before you connect. Supabase puts a connection pooler in front of Postgres on port 6543: use it instead of the direct port 5432 for anything that opens short-lived connections (Apps Script, scheduled refreshes), since the free tier's direct-connection limit is low. See the dedicated Supabase to Google Sheets guide and the Supabase Google Sheets sync guide for pooler setup and RLS considerations.

Neon is serverless Postgres that scales to zero between queries, which means the first query after idle time can be slower while the compute spins back up: worth accounting for in a scheduled refresh's timeout. Neon is open to all IPs by default; if you've turned on the IP allow-list, add your connector's IPs there. The Neon Postgres to Google Sheets guide covers the pooled-vs-direct connection string choice in detail.

Amazon RDS and Aurora PostgreSQL require you to add the connector's egress IPs to the security group's inbound rules on port 5432. The single most common reason an RDS connection times out is a security group that only allows traffic from inside the VPC. Once that's open, RDS behaves like standard Postgres with SSL required.

The verdict, which method when

• I just need this query result once

  → psql / pg_dump → CSV. Native, free, takes 30 seconds. The right answer for a one-off pull where freshness doesn't matter.

• I want a single recurring query and I write code

  → Apps Script + JDBC. Free and customizable, but you'll maintain the script and watch out for the 6-minute execution limit on big queries.

• My team needs live Postgres data in Sheets every day

  → Brooked (or another add-on). Scheduled refresh, no script maintenance, OAuth-style credential storage, audit trail, and provider presets for Supabase, Neon, Railway handle the connection-string quirks.

• I need to edit data in Sheets and push back to Postgres

  → Brooked. Two-way write-back (INSERT, UPDATE, UPSERT, DELETE) is a feature most other Sheets connectors don't ship. Every write is captured in an audit log.

• I want to ask my Postgres questions in plain English

  → Brooked. The agent introspects your schema, writes the SQL, runs it on your live database, lands the result in the sheet, and can drop into a Python sandbox for cohort/retention/statistical work.

Common PostgreSQL → Sheets use cases

• SaaS product analytics: pull user signups, feature usage, and churn metrics on a schedule for the weekly business review
• Finance and ops reporting, query transactions, revenue, and cost tables into live dashboards for finance teams who live in Sheets
• Customer success tracking: sync account health data, support tickets, and product usage into Sheets for CS review
• Growth and marketing analysis: pull experiment results, funnel metrics, and cohort data into Sheets for non-SQL stakeholders
• Two-way ops workflows: manage vendor approvals, manual overrides, or ticket triage in Sheets and write decisions back to Postgres

Troubleshooting common issues

Related Articles

• How to Connect MySQL to Google Sheets
• How to Connect Supabase to Google Sheets
• How to Automatically Refresh MySQL Data in Google Sheets Every Hour (Without Babysitting a Script)

Frequently asked questions