Two-way sync
Changes in Shopify instantly reflect in Supabase, and back. No stale data, no manual imports.
Map the fields once, and every write moves both ways in milliseconds. Supabase row inserts land in Shopify, Shopify updates land back in Supabase.
Trusted by fast-scaling teams, from YC startups to enterprise platform teams

Connects over GraphQL Admin API (primary) and REST Admin API (legacy), mapped field-by-field into Supabase, with row-level audit and no backend of your own to run.
Every table maps to a Shopify object both ways. Insert a row in Supabase and it lands in Shopify; update a record there and Supabase reflects it back.
Webhook topics per resource, with polling on updated_at as a fallback. Stacksync polls efficiently so updates still land in Supabase within moments.
Standard objects and customers are both fair game. Stacksync's schema discovery maps fields automatically, no manual data dictionary.
Patterns a two-person team can ship in a week. Any table in Supabase maps to any object in Shopify.
Changes in Shopify instantly reflect in Supabase, and back. No stale data, no manual imports.
Sync Shopify orders, customers, and inventory into Supabase for operational reporting across every store.
Push new Shopify orders into Supabase, forward them to an ERP like NetSuite, then sync fulfillment and invoice status back to the storefront.
Keep customer records aligned between Shopify and the CRM data living in Supabase, for segmentation and lifetime-value analysis.
Mirror your product catalog from Supabase into Shopify products, variants, and metafields.
No custom ETL jobs, webhooks, or sync scripts to write and maintain. Map Supabase tables to Shopify objects like Products and ProductMedias once, and every write stays in sync from there on.
Changes in Supabase reach Shopify in real time, and back. products, productmedias and productvariants stay consistent everywhere they live.
Your Supabase write-ahead log is read directly, and Shopify changes are picked up the moment they happen, so sync keeps pace with live traffic. No polling delays, rate limits, or extra load on your database.
OAuth your project and the system. Schemas read automatically.
Tables to objects, fields to fields. Transforms run inline.
Historical backfill, then continuous CDC both ways.
Row-level logs, latency and one-click replay.
One client, the same auth as your Supabase project. If you know the Supabase client, you already know this one.
Read the docsimport { 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 Shopify 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;
Normally $1,000/mo. Yours at $0 during launch week.
Plus $100 in sync credits on the house. No card, no sales call, the same self-serve start you got with Supabase.
Takes about 2 minutes · cancel in one click · export every mapping you build
“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
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
Okta, Azure and Google SSO, with SCIM provisioning.
Sync issues to email, Slack, PagerDuty or WhatsApp, with retry and revert.
Connects to your systems your way.
Stacksync watches your Supabase tables via CDC and Shopify's API in real time. A write on either side maps to fields on the other and propagates in milliseconds, with row-level logs for every change.
Yes. Changes made in Supabase propagate to Shopify and vice versa. One-way flows are also supported when a direction should stay read-only.
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.
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.