---
title: "Supabase + BigQuery: real-time two-way sync | Stacksync"
description: "Real-time two-way sync between Supabase and BigQuery. Field mapping, row-level audit, and no backend to maintain."
canonical: https://www.stacksync.com/supabase/bigquery
last_modified: 2026-07-29
---

# Real-time two-way sync between Supabase and BigQuery

Map fields once for two-way sync. Permitted Supabase row inserts reach BigQuery, and updates in BigQuery reach Supabase.

[Sign up with Supabase](https://app.stacksync.com/) [Request a demo](https://www.stacksync.com/book-a-demo)

|  |  |
| --- | --- |
| <200ms | p95 propagation |
| $100 | Free credits |
| SOC 2 | ISO 27001 · HIPAA |

Trusted by fast-scaling teams, from YC startups to enterprise platform teams

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Capabilities

## Everything you need to sync BigQuery

Connects over GoogleSQL via the BigQuery REST API, client libraries, JDBC/ODBC drivers, and the Storage Read/Write APIs, mapped field-by-field into Supabase, with row-level audit and no backend of your own to run.

### Two-way sync

Every table maps to a BigQuery object both ways. Insert a row in Supabase and it lands in BigQuery; update a record there and Supabase reflects it back.

### Live, not batched

Real-time notification service deployed into your Google Cloud project: Eventarc. Changes land in Supabase in milliseconds, not on the next polling cycle.

|  |  |
| --- | --- |
| Tables | Two-way synced |
| Partitioned tables | Two-way synced |
| Clustered tables | Two-way synced |

### Every object, standard or custom

Any object the API exposes can be mapped into Supabase, with schema discovery doing the field-matching for you.

Use cases

## What teams ship first

Patterns a two-person team can ship in a week. Any table in Supabase maps to any object in BigQuery.

Real-time

### Two-way sync

Changes in BigQuery instantly reflect in Supabase, and back. No stale data, no manual imports.

Land Supabase application data in BigQuery continuously so dashboards reflect production data without nightly batch jobs.

Sync product analytics aggregates computed in BigQuery back into Supabase tables your app can query directly.

Activate BigQuery-modeled scores and attributes by syncing them into Supabase, where your product and CRM tools already read.

Feed BigQuery ML feature tables from Supabase on a continuous schedule instead of scheduled exports.

## Why builders sync **Supabase and BigQuery**

### Ship without a backend

No ETL jobs or sync scripts to maintain. Map Supabase tables to Tables and Partitioned tables once, and every write stays in sync automatically.

### Every write moves both ways

Changes in Supabase reach BigQuery in real time, and back. tables, partitioned tables and clustered tables stay consistent everywhere they live.

### Built to run in production

Your Supabase write-ahead log is read directly, while BigQuery changes are picked up instantly, no polling delays or extra load.

How it works

## Four steps, and no backend to maintain

01

### Connect

OAuth your project and the system. Schemas read automatically.

02

### Map

Tables to objects, fields to fields. Transforms run inline.

03

### Sync

Historical backfill, then continuous CDC both ways.

04

### Monitor

Row-level logs, latency and one-click replay.

## Sync Supabase with BigQuery from React

One client, the same auth as your Supabase project. If you know the Supabase client, you already know this one.

[Read the docs](https://docs.stacksync.com/)

```
import { createClient } from '@stacksync/client'const stacksync = createClient(  process.env.SUPABASE_URL,  process.env.STACKSYNC_API_KEY)export default function Deals() {  const [deals, setDeals] = useState([])  useEffect(() => {    stacksync.from('deals').select('*')      .then(({ data }) => setDeals(data))  }, [])  return <DealList items={deals} />}
```

```
import { createClient } from '@stacksync/client'export async function POST(request) {  const stacksync = createClient(    process.env.SUPABASE_URL,    process.env.STACKSYNC_API_KEY  )  const { id, stage } = await request.json()  // writes Supabase, propagates to BigQuery  const { data } = await stacksync    .from('deals')    .update({ stage })    .eq('id', id)  return Response.json(data)}
```

```
from stacksync import create_clientstacksync = create_client(    os.environ['SUPABASE_URL'],    os.environ['STACKSYNC_API_KEY'])# one write, both systemsstacksync.table('deals').update(    {'stage': 'won', 'amount': 48000}).eq('id', 'd_10427').execute()for row in stacksync.logs('deals').recent():    print(row['system'], row['latency_ms'])
```

```
import { createClient } from '@stacksync/client'Deno.serve(async (req) => {  const stacksync = createClient(    Deno.env.get('SUPABASE_URL'),    Deno.env.get('STACKSYNC_API_KEY')  )  const { record } = await req.json()  await stacksync.from('accounts').upsert({    id: record.id,    owner: record.owner_email  })  return new Response('ok')})
```

```
// claude_desktop_config.json{  "mcpServers": {    "stacksync": {      "command": "npx",      "args": ["-y", "@stacksync/mcp"],      "env": {        "STACKSYNC_API_KEY": "sk_live_...",        "SUPABASE_URL": "https://xyz.supabase.co"      }    }  }}// your agent now reads and writes// every connected system of record
```

```
-- Supabase stays the source of truthupdate deals   set stage = 'won',       amount = 48000 where id = 'd_10427';-- Stacksync picks up the change via CDC-- and writes it to every mapped systemselect system, object_id, latency_ms, status  from stacksync.write_log where table_name = 'deals' order by created_at desc limit 10;
```

Pricing

## Free for Supabase builders

Normally $1,000/mo. Yours at $0 during launch week.

Launch week: 10,000 accounts only

Supabase Connect

$1,000 $0 / month

Plus $100 in sync credits on the house. No card, no sales call, the same self-serve start you got with Supabase.

7,840 of 10,000 claimed 2,160 left

[Claim my $100 in credits](https://app.stacksync.com/) [Talk to an engineer](https://www.stacksync.com/book-a-demo)

Takes about 2 minutes · cancel in one click · export every mapping you build

- 1 active two-way sync, real-time
- AI agents and MCP servers
- Workflows on any synced change
- 3 collaborators
- Migration review with a Stacksync engineer

“We went from treating data integration as a necessary evil that consumed our best engineers to having it just work, reliably, at scale, in real-time.”

Alex Marinov · VP of Technology, ACERTUS

Trusted by 1,000+ teams · SOC 2 Type II · ISO 27001

Security

## Security teams trust Stacksync

The integration layer is where compliance reviews stall. Row-level audit, residency and DPF certification for US, EU, UK and CH transfers, so procurement is a form, not a quarter.

[Learn more about security](https://www.stacksync.com/security)

|  |  |
| --- | --- |
|  | SOC 2 Type II |
| ISO 27001 | ISO 27001 |
| HIPAA BAA | HIPAA BAA |
| GDPR | GDPR |
| CCPA | CCPA |
|  | DPF US-EU-UK-CH |

→ Security with benefits

### SSO & SCIM

Okta, Azure and Google SSO, with SCIM provisioning.

### Alerts

Sync issues to email, Slack, PagerDuty or WhatsApp, with retry and revert.

### Secure connections

Connects to your systems your way.

OAuth 2 SSH tunnelling SSL certificates IP whitelisting VPN gateway VPC peering

FAQ

## Supabase + BigQuery FAQ

### How does Supabase sync with BigQuery?

Stacksync watches your Supabase tables via CDC and BigQuery's API in real time. A permitted write on either side maps to fields on the other, with row-level logs for every change.

### Is the Supabase + BigQuery sync two-way?

Yes. Changes made in Supabase propagate to BigQuery and vice versa. Field write controls preserve read-only values within the two-way sync.

### Do I need to write backend code to connect Supabase and BigQuery?

No. Authenticate both systems, pick objects and fields to map, and enable the sync. Most integrations go live in minutes with no infrastructure to manage.

### Is my BigQuery and Supabase data secure in transit?

Stacksync is SOC 2 Type II, ISO 27001, HIPAA, GDPR, CCPA and CSA STAR certified, and holds the EU-US, UK and Swiss Data Privacy Framework (DPF) certification. Data is encrypted in transit, with a zero-persistent-storage architecture: records aren't retained after a sync operation.

## Sync Supabase and BigQuery this afternoon

[Sign up with Supabase](https://app.stacksync.com/) [Request a demo](https://www.stacksync.com/book-a-demo)