Two-way sync
Changes in Google Cloud Platform or Supabase instantly reflect in both systems. No stale data, no manual imports.
Keep Google Cloud Platform 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.
Operational databases and analytical warehouses want the same data at different moments. Analysts want Supabase's rows in Google Cloud Platform, 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 Google Cloud Platform in real time, and result tables in Google Cloud Platform sync back into Supabase, with schema and type mapping between the two systems handled for you.
Point analytical queries at the synced copy in Google Cloud Platform and keep Supabase focused on its operational workload.
Rows from Supabase land in Google Cloud Platform as they change, replacing hand-built CDC and batch extract jobs.
Aggregates or model outputs computed in Google Cloud Platform sync into Supabase, where whatever reads from that database gets them without querying the warehouse.
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.
| Google Cloud Platform objects | Supabase objects | |
|---|---|---|
| Firestore documents Document data read and written through the Firestore API for app-facing syncs. | JSONB Columns Semi-structured payloads such as event properties or nested objects. | |
| Spanner tables Strongly consistent relational tables accessed via SQL for transactional workloads. | Database Functions Postgres functions that can transform or validate synced rows. | |
| BigQuery datasets Namespaces that group tables; syncs target tables within a dataset. | Storage Object Metadata File metadata rows that can be joined to synced application data. | |
| BigQuery tables The primary analytics destination, written through load jobs or the Storage Write API and queried with SQL. | Tables Standard Postgres tables; the primary two-way sync target. | |
| Cloud SQL databases Managed Postgres, MySQL, and SQL Server instances synced like ordinary relational databases. | Views Read-side projections exposed to outbound syncs. | |
| Cloud Storage objects Staging area for file-based bulk loads into BigQuery and other services. | Schemas Namespaces (public and custom) that scope sync access. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Google Cloud Platform–Supabase connection.
Changes in Google Cloud Platform or Supabase instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Google Cloud Platform or Supabase data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Google Cloud Platform or Supabase record.
Track your Google Cloud Platform ⇄ Supabase sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Google Cloud Platform and Supabase.
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.
Authenticate Google Cloud Platform 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.
Pick the Google Cloud Platform 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Google Cloud Platform and Supabase: authenticate both systems, choose the objects to sync (such as Google Cloud Platform's Firestore documents and Spanner tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on Google Cloud Platform: Varies by service: log-based CDC on Cloud SQL (logical replication or binlog, also via Datastream), Pub/Sub for event delivery, polling for BigQuery tables. 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.
On the Google Cloud Platform side: Cloud Storage objects, Pub/Sub topics, Firestore documents, Spanner tables, plus custom fields where Google Cloud Platform exposes them. On the Supabase side: Storage Object Metadata, Tables, Views, Schemas. Stacksync auto-detects both schemas and converts types between the two systems.
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.
Common patterns for Google Cloud Platform and Supabase: Offload heavy reads; Operational data in the warehouse, minus the pipeline; Serve warehouse results at database speed. Point analytical queries at the synced copy in Google Cloud Platform and keep Supabase focused on its operational workload.
Google Cloud Platform: Per-service REST and gRPC APIs; BigQuery speaks SQL and Cloud SQL exposes standard database wire protocols. Authentication: IAM service accounts with OAuth 2.0 tokens. 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.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 386 integrations available for Google Cloud Platform and Supabase.