Two-way sync
Changes in SQL Server 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 SQL Server, SQL Server updates land back in Supabase.
Trusted by fast-scaling teams, from YC startups to enterprise platform teams

Connects over SQL over the TDS wire protocol (Tabular Data Stream), via ODBC/JDBC/ADO.NET drivers, mapped field-by-field into Supabase, with row-level audit and no backend of your own to run.
Every table maps to a SQL Server object both ways. Insert a row in Supabase and it lands in SQL Server; update a record there and Supabase reflects it back.
SQL Server Native Change Data Capture. Changes land in Supabase in milliseconds, not on the next polling cycle.
Any object the API exposes can be mapped into Supabase, with schema discovery doing the field-matching for you.
Patterns a two-person team can ship in a week. Any table in Supabase maps to any object in SQL Server.
Changes in SQL Server instantly reflect in Supabase, and back. No stale data, no manual imports.
Bi-directional sync between SQL Server rows and Supabase tables, so .NET line-of-business apps and modern product tools share one dataset.
Expose Supabase records as SQL Server tables that existing SSRS reports and internal .NET apps can query.
Mirror on-premises ERP data held in SQL Server into Supabase, for cloud CRM and support systems to read.
Feed a warehouse from both SQL Server and Supabase continuously with native CDC, instead of SSIS batch jobs.
No custom ETL jobs, webhooks, or sync scripts to write and maintain. Map Supabase tables to SQL Server objects like Databases and Schemas once, and every write stays in sync from there on.
Changes in Supabase reach SQL Server in real time, and back. databases, schemas and tables stay consistent everywhere they live.
Your Supabase write-ahead log is read directly, and SQL Server 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 SQL Server 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 SQL Server'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 SQL Server 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.