Real-time sync
Changes in SuiteAnalytics flow into Supabase in real time. No stale data, no manual imports.
Map the fields once, and every write moves both ways in milliseconds. Supabase row inserts land in SuiteAnalytics, SuiteAnalytics updates land back in Supabase.
Trusted by fast-scaling teams, from YC startups to enterprise platform teams

Connects over SQL over ODBC, JDBC, and ADO.NET (SuiteAnalytics Connect), mapped field-by-field into Supabase, with row-level audit and no backend of your own to run.
SuiteAnalytics data flows into Supabase in real time. Writes happen on the Supabase side and propagate out to the systems downstream: SuiteAnalytics stays read-only in this pairing.
Not stated in the docs. Stacksync polls efficiently so updates still land in Supabase within moments.
Standard objects and all custom objects 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 SuiteAnalytics.
Changes in SuiteAnalytics flow into Supabase in real time. No stale data, no manual imports.
Replicate NetSuite transactions and lines into Supabase for finance reporting, without saved-search exports.
Join NetSuite ERP data with CRM data inside Supabase for quote-to-cash and revenue visibility.
Feed AR aging and cash-flow dashboards from NetSuite tables continuously refreshed into Supabase.
Give internal tools a Supabase read replica of NetSuite item and inventory data, without hitting SuiteScript governance limits.
No custom ETL jobs, webhooks, or sync scripts to write and maintain. Map Supabase tables to SuiteAnalytics objects like Nexus and Tax Type once, and every write stays in sync from there on.
SuiteAnalytics data flows into Supabase the moment it changes. nexus, tax type and sales tax item stay fresh without you polling for updates.
Your Supabase write-ahead log is read directly, while SuiteAnalytics is polled efficiently within its API limits, so sync keeps pace with live traffic without hammering your database or hitting rate limits.
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 SuiteAnalytics 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 SuiteAnalytics'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.
SuiteAnalytics is primarily a read-only source in this pairing: Stacksync pulls its data into Supabase in real time. Writes flow from Supabase into the systems SuiteAnalytics connects to, not back into SuiteAnalytics itself.
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.