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Data warehouse ⇄ Database

Materialize to Supabase integration — real-time, two-way sync

Keep Materialize 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 Materialize and Supabase

Connect Supabase and Materialize 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 Materialize, 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 Materialize in real time, and result tables in Materialize sync back into Supabase, with schema and type mapping between the two systems handled for you.

Common use cases

  • Maintain real-time inventory, usage, or account-health counters consumed by customer-facing applications.
  • Bridge streaming sources and non-streaming destinations by materializing joins across both.
  • 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 Materialize 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 Materialize and keep Supabase focused on its operational workload.

What you can sync between Materialize 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.

Materialize objects Supabase objects
Materialized Views Incrementally maintained query results that syncs read as continuously up-to-date datasets. Views Read-side projections exposed to outbound syncs.
Sinks Outbound connections that emit view changes to Kafka topics. Schemas Namespaces (public and custom) that scope sync access.
Indexes In-memory arrangements that make view reads fast for serving workloads. auth.users Managed authentication users, often mirrored into CRM or support systems.
Clusters Compute pools that isolate ingestion, view maintenance, and serving. Row Level Security Policies Row-level access rules that govern what the REST layer exposes.
Connections & Secrets Stored credentials and endpoints used by sources and sinks. JSONB Columns Semi-structured payloads such as event properties or nested objects.
Schemas & Databases Namespaces that organize objects a sync targets. Database Functions Postgres functions that can transform or validate synced rows.
What ships with Materialize ⇄ Supabase

Connect Materialize and Supabase for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Materialize–Supabase connection.

Real-time

Two-way sync

Changes in Materialize or Supabase instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Materialize 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 Materialize or Supabase record.

Observability

Monitoring

Track your Materialize ⇄ Supabase sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Materialize and Supabase.

How the Materialize and Supabase connectors work

Materialize

Integration surface
PostgreSQL wire protocol (SQL)
Authentication
Database credentials (username/password; app passwords in the managed cloud service)
Change detection
SUBSCRIBE queries stream row-level changes of any view or table to the client
Capabilities
read · write · CDC

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 Materialize 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.

  1. 01

    Connect your apps

    Authenticate Materialize 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Materialize connected
    Supabase connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Materialize 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Materialize ⇄ Supabase
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Materialize Supabase
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

Materialize and Supabase integration FAQ

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 Materialize and Supabase.

Popular · 8 of 386
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