Real-time
Two-way sync
Changes in Google Pubsub or Supabase instantly reflect in both systems. No stale data, no manual imports.
Developer tools ⇄ Database
Google Pubsub to Supabase integration — real-time, two-way sync
Keep Google Pubsub 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 Google Pubsub and Supabase
Keep Supabase and Google Pubsub in step: the rows in your database and the Snapshots, Message attributes, Dead-letter topics, Ordering keys your engineering tools track stay consistent in real time, in both directions.
Supabase is where your application's durable data lives; Google Pubsub is where engineering and operations teams track the issues, events, messages, or identities that run alongside it. The two overlap constantly, a row should open a ticket, an alert should land as a record, a user in one should exist in the other, but bridging them today means per-tool integration code: auth, webhooks, pagination, rate limits, and retries, built and maintained separately for every tool.
Stacksync syncs Views, Schemas, auth.users, Row Level Security Policies in Supabase with Snapshots, Message attributes, Dead-letter topics, Ordering keys in Google Pubsub field by field, in real time, and in both directions. You decide which system owns which fields; Stacksync keeps every copy consistent and resolves conflicts by rules you set, so the database and the tooling around it never drift apart.
Common use cases
- 01 Push product events captured in Supabase Postgres to marketing tools for lifecycle campaigns
- 02 Consolidate Supabase project data into a warehouse for analytics while keeping the app database as the system of record
- 03 Attach an Avro or Protocol Buffer schema to a topic so every message Stacksync publishes is validated against an agreed contract.
- 04 Publish new and changed database rows as messages to a Pub/Sub topic so multiple downstream subscriptions consume the change stream independently.
Common sync patterns
Land tool activity as queryable rows
Records and events from Google Pubsub arrive in Supabase as rows, so tickets, alerts, messages, or identity changes become joinable data your services and reports read directly.
One integration pattern instead of per-tool API code
Read and write the synced tables in Supabase and Stacksync keeps Google Pubsub current, replacing the auth, webhooks, rate limits, and retry logic you would otherwise maintain for each tool.
React to changes on either side in near real time
Updates in Google Pubsub arrive as row changes in Supabase, and writes to Supabase propagate to Google Pubsub within seconds, so triggers, jobs, and alerts fire without polling.
What you can sync between Google Pubsub 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.
| Google Pubsub objects | Supabase objects | How this pairing syncs | |
|---|---|---|---|
| Schemas Avro or Protocol Buffer definitions bound to a topic; validate that every published message matches the agreed structure. | Schemas Namespaces (public and custom) that scope sync access. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. Custom fields on either side are included in the mapping. | |
| Snapshots Captured subscription state for seek/replay; lets already-acknowledged messages be redelivered from a point in time. | Views Read-side projections exposed to outbound syncs. | Snapshots is specific to Google Pubsub and Views to Supabase — each maps to any object or custom field on the other side. | |
| Message attributes Up to 100 key-value pairs per message; carry routing metadata and drive subscription filter expressions. | auth.users Managed authentication users, often mirrored into CRM or support systems. | Message attributes is specific to Google Pubsub and auth.users to Supabase — each maps to any object or custom field on the other side. | |
| Dead-letter topics Destination for messages that exceed a subscription's max delivery attempts; isolates poison messages for later handling. | Row Level Security Policies Row-level access rules that govern what the REST layer exposes. | Dead-letter topics is specific to Google Pubsub and Row Level Security Policies to Supabase — each maps to any object or custom field on the other side. | |
| Ordering keys Tag messages so those sharing a key deliver in publish order when message ordering is enabled; throughput capped at 1 MBps per key. | JSONB Columns Semi-structured payloads such as event properties or nested objects. | Ordering keys is specific to Google Pubsub and JSONB Columns to Supabase — each maps to any object or custom field on the other side. | |
| Topics Named resource publishers send to; Stacksync publishes each record change as a message to a topic for downstream subscribers to consume. | Database Functions Postgres functions that can transform or validate synced rows. | Topics is specific to Google Pubsub and Database Functions to Supabase — each maps to any object or custom field on the other side. |
How changes propagate between Google Pubsub 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.
Google Pubsub Supabase Sub-second propagation
DetectionGoogle Pubsub notifies Stacksync of record changes through webhook events. Consumes messages as they arrive on a subscription — StreamingPull (long-lived gRPC) or a push subscription delivering each message as an HTTPS POST.
DeliveryEach detected change is applied to Supabase as a row-level write, with types converted between the two schemas.
Supabase Google Pubsub 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 written to Google Pubsub through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Google Pubsub: Per-region throughput quotas (publish up to ~4 GB/s in large regions); 10 MB max per message and per publish request, 1,000 messages per request, and 1 MBps per ordering key.
- 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 Google Pubsub ⇄ Supabase
Connect Google Pubsub and Supabase for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Google Pubsub–Supabase connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Google Pubsub 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 Google Pubsub or Supabase record.
Observability
Monitoring
Track your Google Pubsub ⇄ Supabase sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Google Pubsub and Supabase.
How the Google Pubsub and Supabase connectors work
Google Pubsub
- Integration surface
- REST and gRPC (Cloud Pub/Sub API v1)
- Authentication
- Google Cloud IAM via OAuth 2.0 / service-account credentials (JSON key or workload identity); requires roles such as pubsub.publisher and pubsub.subscriber
- Change detection
- Consumes messages as they arrive on a subscription — StreamingPull (long-lived gRPC) or a push subscription delivering each message as an HTTPS POST; no modified-date polling
- Capabilities
- read · write · webhooks
- Rate limits
- Per-region throughput quotas (publish up to ~4 GB/s in large regions); 10 MB max per message and per publish request, 1,000 messages per request, and 1 MBps per ordering key
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 Google Pubsub 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 Google Pubsub 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.
Google Pubsub
connected
Supabase
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Google Pubsub 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 · Google Pubsub ⇄ 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.
Google Pubsub SupabaseCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Google Pubsub and Supabase integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Google Pubsub and Supabase: authenticate both systems, choose the objects to sync (such as Google Pubsub's Schemas and Snapshots), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Common patterns for Google Pubsub and Supabase: Land tool activity as queryable rows; One integration pattern instead of per-tool API code; React to changes on either side in near real time. Records and events from Google Pubsub arrive in Supabase as rows, so tickets, alerts, messages, or identity changes become joinable data your services and reports read directly.
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Google Pubsub: REST and gRPC (Cloud Pub/Sub API v1). Authentication: Google Cloud IAM via OAuth 2.0 / service-account credentials (JSON key or workload identity); requires roles such as pubsub.publisher and pubsub.subscriber. 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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Supabase: PostgREST auto-generates a REST endpoint per table, with Row Level Security policies gating access at the row level. Google Pubsub: Delivery is at-least-once by default; exactly-once delivery is offered only on pull subscriptions within a single region, so consumers should be idempotent. Stacksync's field mapping accounts for these differences between Google Pubsub 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 Google Pubsub and Supabase records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Google Pubsub and Supabase connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Google Pubsub–Supabase integration in-house.
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 352 integrations available for Google Pubsub and Supabase.
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No integrations match .
