Real-time
Two-way sync
Changes in Snowflake or Supabase instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ Database
Snowflake to Supabase integration — real-time, two-way sync
Keep Snowflake and Supabase in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
- SOC 2 and 6 other compliance frameworks
- POC with real engineers in minutes
Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect Snowflake and Supabase
Connect Supabase and Snowflake with one live, two-way sync: operational rows flow into the warehouse, and computed results flow back where systems can read them fast.
Operational databases and analytical warehouses want the same data at different moments. Analysts want Supabase's rows in Snowflake, current and joinable, without a change-data-capture pipeline to maintain. Engineers want the outputs of warehouse work, such as aggregates, features, and segments, available in Supabase where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in Supabase sync into Snowflake in real time, and result tables in Snowflake sync back into Supabase, with schema and type mapping between the two systems handled for you.
Common use cases
- Push product usage aggregates from Snowflake into sales and success tools for account prioritization
- Feed finance reconciliation models from ERP data landed in Snowflake on a continuous basis
- Consolidate Supabase project data into a warehouse for analytics while keeping the app database as the system of record
- Sync application tables in Supabase with the CRM two-way so new signups appear as contacts and sales edits flow back to the app
Serve warehouse results at database speed
Aggregates or model outputs computed in Snowflake sync into Supabase, where whatever reads from that database gets them without querying the warehouse.
Fresh analytics without loading windows
Because changes stream continuously, analysts query current data instead of waiting for last night's load.
Offload heavy reads
Point analytical queries at the synced copy in Snowflake and keep Supabase focused on its operational workload.
What you can sync between Snowflake and Supabase
Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.
| Snowflake objects | Supabase objects | |
|---|---|---|
| Databases Top-level containers that scope which data a sync can touch. | Storage Object Metadata File metadata rows that can be joined to synced application data. | |
| Schemas Namespaces within a database used to organize synced tables. | Tables Standard Postgres tables; the primary two-way sync target. | |
| Tables The main landing and activation target for synced records. | Views Read-side projections exposed to outbound syncs. | |
| Views Modeled projections used as the source side of outbound syncs. | Schemas Namespaces (public and custom) that scope sync access. | |
| Materialized Views Precomputed results synced outward for low-latency reads. | auth.users Managed authentication users, often mirrored into CRM or support systems. | |
| Streams Row-level change records on a table, consumed to process deltas instead of full scans. | Row Level Security Policies Row-level access rules that govern what the REST layer exposes. |
What ships with Snowflake ⇄ Supabase
Connect Snowflake and Supabase for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Snowflake–Supabase connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Snowflake or Supabase data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
At scale
Event queues
Handle millions of events per minute without losing a single Snowflake or Supabase record.
Observability
Monitoring
Track your Snowflake ⇄ Supabase sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Snowflake and Supabase.
How the Snowflake and Supabase connectors work
Snowflake
- Integration surface
- SQL via JDBC/ODBC and native drivers, plus the Snowflake SQL REST API
- Authentication
- Dedicated Snowflake service user + role with RSA key-pair authentication (Stacksync-provided public key), created via a setup script requiring SECURITY_ADMIN and ACCOUNTADMIN roles
- Change detection
- Not explicitly stated; the setup script grants "create stream" on synced schemas (Snowflake streams), but the docs do not name the change-capture mechanism
- Capabilities
- read · write · CDC
- Rate limits
- No conventional API rate limits; cost and throughput are governed by virtual warehouse size and running time
Supabase
- Integration surface
- Direct PostgreSQL wire protocol connection, plus an auto-generated REST API (PostgREST)
- Authentication
- Database credentials (connection string) for SQL access; API keys (anon / service role) for the REST layer
- Change detection
- Log-based CDC via Postgres logical replication, the same WAL feed that powers Supabase Realtime; database webhooks can also fire on row changes
- Capabilities
- read · write · CDC · webhooks
- Rate limits
- SQL access is bounded by connection limits (pooled connections are provided); the REST layer is subject to the platform's limits
How it works
How to connect Snowflake to Supabase — three steps, no code
Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.
- 01
Connect your apps
Authenticate Snowflake and Supabase with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Snowflake
connected
Supabase
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Snowflake and Supabase objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.
objects · Snowflake ⇄ SupabaseCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Snowflake SupabaseCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Snowflake and Supabase integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Snowflake and Supabase: authenticate both systems, choose the objects to sync (such as Snowflake's Databases and Schemas), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Yes — Stacksync ships production-grade connectors for both Snowflake and Supabase. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Snowflake: Not explicitly stated; the setup script grants "create stream" on synced schemas (Snowflake streams), but the docs do not name the change-capture mechanism. On Supabase: Log-based CDC via Postgres logical replication, the same WAL feed that powers Supabase Realtime; database webhooks can also fire on row changes. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Snowflake side: Stages, Tasks, VARIANT Columns, Virtual Warehouses, plus custom fields where Snowflake exposes them. On the Supabase side: Schemas, auth.users, Row Level Security Policies, JSONB Columns. Stacksync auto-detects both schemas and converts types between the two systems.
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Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
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Common patterns for Snowflake and Supabase: Serve warehouse results at database speed; Fresh analytics without loading windows; Offload heavy reads. Aggregates or model outputs computed in Snowflake sync into Supabase, where whatever reads from that database gets them without querying the warehouse.
SECURITY
Security teams love Stacksync
As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.
SOC 2 type II
ISO 27001
HIPAA BAA
GDPR
CCPA
CSA STAR
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS
SSO & SCIM
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Alerts
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Secure connection options
Securely connects to your systems with:
Related integrations
Every pair below is a real-time, two-way sync. Search all 386 integrations available for Snowflake and Supabase.
Popular · 8 of 386
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Snowflake ⇄ Azure SQL Database -
Snowflake ⇄ Citus -
Snowflake ⇄ Couchbase -
Snowflake ⇄ DuckDB -
Supabase ⇄ StarRocks -
Supabase ⇄ Teradata Vantage -
Supabase ⇄ Tinybird -
Supabase ⇄ Vertica
No integrations match .
