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Google Pubsub to PostgreSQL integration — real-time, two-way sync

Keep Google Pubsub and PostgreSQL in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

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Why teams connect Google Pubsub and PostgreSQL

Keep PostgreSQL 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.

PostgreSQL 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, Materialized Views, Schemas, Columns in PostgreSQL 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 Expose SaaS objects (CRM contacts, ERP invoices, support tickets) as Postgres tables that internal tools can query and join
  • 02 Let an application write to its own database and have those rows appear as records in business systems in near real time
  • 03 Fan out CRM record changes to a topic and let billing, analytics, and notification subscriptions each react without coupling to the source.
  • 04 Bridge order or billing events off a topic into an ERP or ticketing system as they arrive, mapping message attributes to target fields.

Common sync patterns

React to changes on either side in near real time

Updates in Google Pubsub arrive as row changes in PostgreSQL, and writes to PostgreSQL propagate to Google Pubsub within seconds, so triggers, jobs, and alerts fire without polling.

Where Google Pubsub manages users or groups: keep identity aligned

Directory and identity records in Google Pubsub stay matched to the users or owners table in PostgreSQL, so provisioning and de-provisioning flow from one source.

Turn rows into the records your tools track

A new or changed row in PostgreSQL creates or updates the matching record in Google Pubsub, whether that is an issue, an event, a message, or a user, so the tool reflects the database without a custom API job.

What you can sync between Google Pubsub and PostgreSQL

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 PostgreSQL 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 that scope which tables a sync reads and writes. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Subscriptions A stream of messages from one topic; Stacksync consumes here via StreamingPull or a push endpoint, acknowledging each message after a successful write. Materialized Views Precomputed result sets synced outward on a refresh schedule. Subscriptions is specific to Google Pubsub and Materialized Views to PostgreSQL — each maps to any object or custom field on the other side.
Messages The synced unit: base64-encoded data plus attributes, ordering key, messageId and publishTime; capped at 10 MB each. Columns Field-level mapping targets; types are mapped to the connected system's field types. Messages is specific to Google Pubsub and Columns to PostgreSQL — each maps to any object or custom field on the other side.
Snapshots Captured subscription state for seek/replay; lets already-acknowledged messages be redelivered from a point in time. Primary and Unique Keys Used as match keys for idempotent upserts and conflict resolution. Snapshots is specific to Google Pubsub and Primary and Unique Keys to PostgreSQL — 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. JSONB Columns Hold semi-structured payloads such as nested SaaS objects or metadata. Message attributes is specific to Google Pubsub and JSONB Columns to PostgreSQL — 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. Sequences Generate surrogate keys for rows created by inbound syncs. Dead-letter topics is specific to Google Pubsub and Sequences to PostgreSQL — each maps to any object or custom field on the other side.

How changes propagate between Google Pubsub and PostgreSQL

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 PostgreSQL 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 PostgreSQL as a row-level write, with types converted between the two schemas.

PostgreSQL Google Pubsub Sub-second propagation

DetectionChanges in PostgreSQL are captured at the source via change data capture — no polling loop against its API. Logical replication (wal_level = logical) for change data capture via the "Postgres" connector.

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.
  • PostgreSQL: No API rate limits; throughput is bounded by connection limits, instance resources, and replication slot throughput.
What ships with Google Pubsub ⇄ PostgreSQL

Connect Google Pubsub and PostgreSQL for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Google Pubsub–PostgreSQL connection.

Real-time

Two-way sync

Changes in Google Pubsub or PostgreSQL instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Google Pubsub or PostgreSQL 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 PostgreSQL record.

Observability

Monitoring

Track your Google Pubsub ⇄ PostgreSQL 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 PostgreSQL.

How the Google Pubsub and PostgreSQL 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

PostgreSQL

Integration surface
SQL wire protocol (PostgreSQL frontend/backend protocol)
Authentication
Database credentials (connection string or parameters), with optional SSL root certificate upload and optional SSH tunnel (SSH user + host); a least-privilege DB user
Change detection
Logical replication (wal_level = logical) for change data capture via the "Postgres" connector; database triggers (TRIGGER grant + stacksync_logging schema) via the trigger-based "Postgres Heroku" connector where
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput is bounded by connection limits, instance resources, and replication slot throughput
PostgreSQL setup guide
How it works

How to connect Google Pubsub to PostgreSQL — 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 Google Pubsub and PostgreSQL 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
    Google Pubsub connected
    PostgreSQL connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Google Pubsub and PostgreSQL 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 · Google Pubsub ⇄ PostgreSQL
    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
    Google Pubsub PostgreSQL
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Google Pubsub and PostgreSQL integration FAQ

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.

Learn more about security
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→ 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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 357 integrations available for Google Pubsub and PostgreSQL.

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