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Real-time two-way sync between Supabase and Databricks

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

public.customers Data warehouse Databricks public.customers Data warehouse Databricks
<200ms
p95 propagation
$100
Free credits
SOC 2
ISO 27001 · HIPAA

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

Capabilities

Everything you need to sync Databricks

Connects over SQL over JDBC/ODBC via SQL warehouses, plus a REST API including statement execution, 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 Databricks object both ways. Insert a row in Supabase and it lands in Databricks; update a record there and Supabase reflects it back.

Live, not batched

Delta Lake Change Data Feed for row-level changes. Changes land in Supabase in milliseconds, not on the next polling cycle.

Catalogs Two-way synced
Schemas Two-way synced
Delta 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 Databricks.

Real-time

Two-way sync

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

Land Supabase application records in Databricks continuously, so data teams get lakehouse-scale analytics and ML features without custom ETL.

Sync Databricks-modeled tables and feature outputs back into Supabase for activation in the app and CRM tools that read it.

Mirror CRM and ERP objects into Databricks so data science and ML pipelines join business data with product data in one query.

Keep a Databricks reporting layer continuously hydrated from Supabase, without maintaining separate batch export jobs.

Why builders sync Supabase and Databricks

Ship without a backend

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

Every write moves both ways

Changes in Supabase reach Databricks in real time, and back. catalogs, schemas and delta tables stay consistent everywhere they live.

Built to run in production

Your Supabase write-ahead log is read directly, while Databricks 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 Databricks
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
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} />}
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 claimed2,160 left

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
SOC 2 Type II 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 2SSH tunnellingSSL certificatesIP whitelistingVPN gatewayVPC peering
FAQ

Supabase + Databricks FAQ

How does Supabase sync with Databricks?

Stacksync watches your Supabase tables via CDC and Databricks'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 + Databricks sync two-way?

Yes. Changes made in Supabase propagate to Databricks 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 Databricks?

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 Databricks 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 Databricks this afternoon