Real-time
Two-way sync
Changes in Materialize or Supabase instantly reflect in both systems. No stale data, no manual imports.
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
Case study
Migrated from MuleSoft
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Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
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Migrated from Fivetran
Case study
Migrated from Celigo
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
- 01 Maintain real-time inventory, usage, or account-health counters consumed by customer-facing applications.
- 02 Bridge streaming sources and non-streaming destinations by materializing joins across both.
- 03 Consolidate Supabase project data into a warehouse for analytics while keeping the app database as the system of record
- 04 Sync application tables in Supabase with the CRM two-way so new signups appear as contacts and sales edits flow back to the app
Common sync patterns
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 | How this pairing syncs | |
|---|---|---|---|
| Tables User-managed tables that accept INSERT/UPDATE/DELETE from sync pipelines. | Tables Standard Postgres tables; the primary two-way sync target. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Schemas & Databases Namespaces that organize objects a sync targets. | Row Level Security Policies Row-level access rules that govern what the REST layer exposes. | Schemas & Databases is specific to Materialize and Row Level Security Policies to Supabase — each maps to any object or custom field on the other side. | |
| Sources Ingestion points (Kafka, Postgres CDC, MySQL CDC, webhook) that feed external data into Materialize. | JSONB Columns Semi-structured payloads such as event properties or nested objects. | Sources is specific to Materialize and JSONB Columns to Supabase — each maps to any object or custom field on the other side. | |
| Materialized Views Incrementally maintained query results that syncs read as continuously up-to-date datasets. | Database Functions Postgres functions that can transform or validate synced rows. | Materialized Views is specific to Materialize and Database Functions to Supabase — each maps to any object or custom field on the other side. | |
| Sinks Outbound connections that emit view changes to Kafka topics. | Storage Object Metadata File metadata rows that can be joined to synced application data. | Sinks is specific to Materialize and Storage Object Metadata to Supabase — each maps to any object or custom field on the other side. | |
| Indexes In-memory arrangements that make view reads fast for serving workloads. | Views Read-side projections exposed to outbound syncs. | Indexes is specific to Materialize and Views to Supabase — each maps to any object or custom field on the other side. |
How changes propagate between Materialize and Supabase
Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.
Materialize Supabase Sub-second propagation
DetectionChanges in Materialize are captured at the source via change data capture — no polling loop against its API. SUBSCRIBE queries stream row-level changes of any view or table to the client.
DeliveryEach detected change is applied to Supabase as a row-level write, with types converted between the two schemas.
Supabase Materialize Sub-second propagation
DetectionSupabase pushes changes as they happen — webhook events backed by change data capture. Log-based CDC via Postgres logical replication, the same WAL feed that powers Supabase Realtime.
DeliveryEach detected change is applied to Materialize as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Supabase: SQL access is bounded by connection limits (pooled connections are provided); the REST layer is subject to the platform's limits.
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.
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.
- 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.
Materialize
connected
Supabase
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 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.
objects · Materialize ⇄ 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.
Materialize SupabaseCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Materialize and Supabase integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Materialize and Supabase: authenticate both systems, choose the objects to sync (such as Materialize's Tables and Schemas & Databases), map fields visually, and changes propagate both ways in milliseconds — no code required.
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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 Materialize and Supabase: Serve warehouse results at database speed; Fresh analytics without loading windows; Offload heavy reads. Aggregates or model outputs computed in Materialize sync into Supabase, where whatever reads from that database gets them without querying the warehouse.
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Materialize: PostgreSQL wire protocol (SQL). Authentication: Database credentials (username/password; app passwords in the managed cloud service). Supabase: 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. Stacksync manages authentication, retries, and rate limits on both sides.
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Materialize: Materialize speaks the PostgreSQL wire protocol, so standard Postgres drivers and tools connect without a custom client. Supabase: PostgREST auto-generates a REST endpoint per table, with Row Level Security policies gating access at the row level. Stacksync's field mapping accounts for these differences between Materialize and Supabase without custom code.
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Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Materialize and Supabase records are not retained after a sync operation.
SECURITY
Security teams trust 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
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 471 integrations available for Materialize and Supabase.
Popular · 6 of 471
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Materialize ⇄ SAP Hana -
Materialize ⇄ PostgreSQL -
Supabase ⇄ Firebolt -
Supabase ⇄ Google Cloud Platform -
Supabase ⇄ Greenplum -
Supabase ⇄ IBM Netezza
No integrations match .
