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Data warehouse ⇄ Developer tools

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

Keep Amazon Redshift and Google Pubsub 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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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Amazon Redshift and Google Pubsub

Close the gap between analytics and operations: Amazon Redshift holds the record while Google Pubsub runs the day-to-day work, and Stacksync keeps the two in step in real time, in both directions.

Amazon Redshift is the central store where teams keep Schemas, Tables, Views, Materialized Views for reporting and analysis; Google Pubsub runs the operational side of engineering work — tracking issues, moving messages and events, watching systems, and managing users and access. The two overlap wherever the same operational data matters to both: the Schemas, Snapshots, Message attributes, Dead-letter topics produced in Google Pubsub are exactly what analysts want to measure in Amazon Redshift, and the curated rows in Amazon Redshift are what should drive the next action in Google Pubsub. When that overlap is bridged by nightly ETL or hand-written scripts, dashboards lag a day behind reality and the tools that should react to warehouse signals never see them.

Stacksync syncs Schemas, Tables, Views, Materialized Views in Amazon Redshift with Schemas, Snapshots, Message attributes, Dead-letter topics in Google Pubsub field by field, in real time, and in both directions. You decide which system owns which fields; Stacksync matches records on a stable external key, keeps every copy consistent, and resolves conflicts by rules you set — so analytics and operations work from the same current data instead of two drifting copies.

Common use cases

  • 01 Publish finance rollups computed in Redshift back to spreadsheets or operational tools.
  • 02 Feed customer 360 tables built in Redshift to support and success platforms.
  • 03 Consume messages from a subscription via StreamingPull and write them into a Postgres or warehouse table for durable, SQL-queryable storage.
  • 04 Fan out CRM record changes to a topic and let billing, analytics, and notification subscriptions each react without coupling to the source.

Common sync patterns

No batch jobs to babysit

New and changed records move field by field the moment they change, replacing scheduled ETL and one-off scripts that fail quietly and leave stale rows behind.

One shared record, kept consistent

Where both systems track the same entity, a change on either side propagates to the other, ending the manual reconciliation between the operational copy and the warehouse copy.

Keep user and access records aligned

Where Google Pubsub manages users, directory, or access data, those records stay current in Amazon Redshift — and can be provisioned back from it — so ownership and permissions match across both.

What you can sync between Amazon Redshift and Google Pubsub

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.

Amazon Redshift objects Google Pubsub objects How this pairing syncs
Schemas Namespaces used to organize synced tables and control grants. Schemas Avro or Protocol Buffer definitions bound to a topic; validate that every published message matches the agreed structure. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Users and Groups Principals used to grant a sync connection scoped access. Snapshots Captured subscription state for seek/replay; lets already-acknowledged messages be redelivered from a point in time. Users and Groups is specific to Amazon Redshift and Snapshots to Google Pubsub — each maps to any object or custom field on the other side.
Databases Top-level containers within a cluster or serverless workgroup. Message attributes Up to 100 key-value pairs per message; carry routing metadata and drive subscription filter expressions. Databases is specific to Amazon Redshift and Message attributes to Google Pubsub — each maps to any object or custom field on the other side.
Tables Columnar tables used as sync destinations for SaaS and database data. Dead-letter topics Destination for messages that exceed a subscription's max delivery attempts; isolates poison messages for later handling. Tables is specific to Amazon Redshift and Dead-letter topics to Google Pubsub — each maps to any object or custom field on the other side.
Views SQL views readable as modeled sources for reverse syncs. 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. Views is specific to Amazon Redshift and Ordering keys to Google Pubsub — each maps to any object or custom field on the other side.
Materialized Views Precomputed results that downstream syncs can read for performance. Topics Named resource publishers send to; Stacksync publishes each record change as a message to a topic for downstream subscribers to consume. Materialized Views is specific to Amazon Redshift and Topics to Google Pubsub — each maps to any object or custom field on the other side.

How changes propagate between Amazon Redshift and Google Pubsub

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.

Amazon Redshift Google Pubsub Interval-based propagation

DetectionStacksync polls Amazon Redshift for changes on an incremental schedule, reading only records changed since the previous pass. Polling or query-based diffing.

DeliveryEach detected change is written to Google Pubsub through its API, with automatic retries and rate-limit backoff.

Google Pubsub Amazon Redshift 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 Amazon Redshift as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Amazon Redshift: Bounded by cluster or serverless capacity and concurrency settings rather than API quotas.
  • 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.
What ships with Amazon Redshift ⇄ Google Pubsub

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon Redshift or Google Pubsub 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 Amazon Redshift or Google Pubsub record.

Observability

Monitoring

Track your Amazon Redshift ⇄ Google Pubsub sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Amazon Redshift and Google Pubsub.

How the Amazon Redshift and Google Pubsub connectors work

Amazon Redshift

Integration surface
SQL over JDBC/ODBC (PostgreSQL-derived protocol); Redshift Data API over HTTPS
Authentication
Database credentials or IAM-based authentication
Change detection
Polling or query-based diffing; Redshift does not expose a transaction log for external CDC consumers
Capabilities
read · write
Rate limits
Bounded by cluster or serverless capacity and concurrency settings rather than API quotas

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
How it works

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

    Choose tables

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

Amazon Redshift and Google Pubsub 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.

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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 354 integrations available for Amazon Redshift and Google Pubsub.

Popular · 4 of 354
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