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Data warehouse ⇄ Developer tools

AWS S3 to Google Pubsub integration — real-time, two-way sync

Keep AWS S3 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 AWS S3 and Google Pubsub

Close the gap between analytics and operations: AWS S3 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.

AWS S3 is the central store where teams keep Object Metadata, Object Versions, Event Notifications, Access Points 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 Subscriptions, Messages, Schemas, Snapshots produced in Google Pubsub are exactly what analysts want to measure in AWS S3, and the curated rows in AWS S3 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 Object Metadata, Object Versions, Event Notifications, Access Points in AWS S3 with Subscriptions, Messages, Schemas, Snapshots 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 Trigger incremental sync runs from S3 event notifications when new files land in a prefix.
  • 02 Stage bulk loads for warehouses that ingest from object storage.
  • 03 Bridge order or billing events off a topic into an ERP or ticketing system as they arrive, mapping message attributes to target fields.
  • 04 Attach an Avro or Protocol Buffer schema to a topic so every message Stacksync publishes is validated against an agreed contract.

Common sync patterns

Backfill history, then stay live

Load the existing set of Subscriptions, Messages, Schemas, Snapshots into AWS S3 once, then keep it current with every change — you get full history plus real-time updates without a separate pipeline.

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.

What you can sync between AWS S3 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.

AWS S3 objects Google Pubsub objects How this pairing syncs
Access Points Scoped network endpoints used to grant a sync narrow access to a bucket. 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. Access Points is specific to AWS S3 and Ordering keys to Google Pubsub — each maps to any object or custom field on the other side.
Multipart Uploads The mechanism used to write large export files reliably. Topics Named resource publishers send to; Stacksync publishes each record change as a message to a topic for downstream subscribers to consume. Multipart Uploads is specific to AWS S3 and Topics to Google Pubsub — each maps to any object or custom field on the other side.
Buckets Top-level containers a sync targets; region and policy are set at this level. Subscriptions A stream of messages from one topic; Stacksync consumes here via StreamingPull or a push endpoint, acknowledging each message after a successful write. Buckets is specific to AWS S3 and Subscriptions to Google Pubsub — each maps to any object or custom field on the other side.
Objects The stored files (CSV, JSON, Parquet); syncs read them as datasets or write exports into them. Messages The synced unit: base64-encoded data plus attributes, ordering key, messageId and publishTime; capped at 10 MB each. Objects is specific to AWS S3 and Messages to Google Pubsub — each maps to any object or custom field on the other side.
Prefixes Key-name paths used to partition synced datasets, since S3 has no real directories. Schemas Avro or Protocol Buffer definitions bound to a topic; validate that every published message matches the agreed structure. Prefixes is specific to AWS S3 and Schemas to Google Pubsub — each maps to any object or custom field on the other side.
Object Metadata System and user-defined metadata read alongside object contents. Snapshots Captured subscription state for seek/replay; lets already-acknowledged messages be redelivered from a point in time. Object Metadata is specific to AWS S3 and Snapshots to Google Pubsub — each maps to any object or custom field on the other side.

How changes propagate between AWS S3 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.

AWS S3 Google Pubsub Sub-second propagation

DetectionAWS S3 notifies Stacksync of record changes through webhook events. S3 Event Notifications on object create/delete delivered to SQS, SNS, Lambda, or EventBridge.

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

Google Pubsub AWS S3 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 written to AWS S3 through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • AWS S3: Request throughput scales per prefix; sustained high-volume workloads should spread keys across prefixes.
  • 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 AWS S3 ⇄ Google Pubsub

Connect AWS S3 and Google Pubsub for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS S3–Google Pubsub connection.

Real-time

Two-way sync

Changes in AWS S3 or Google Pubsub instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever AWS S3 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 AWS S3 or Google Pubsub record.

Observability

Monitoring

Track your AWS S3 ⇄ 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 AWS S3 and Google Pubsub.

How the AWS S3 and Google Pubsub connectors work

AWS S3

Integration surface
REST API (the S3 API), accessed directly or through AWS SDKs
Authentication
AWS IAM credentials with SigV4 signing; commonly a role scoped to specific buckets and prefixes
Change detection
S3 Event Notifications on object create/delete delivered to SQS, SNS, Lambda, or EventBridge; list-based polling as a fallback
Capabilities
read · write · webhooks
Rate limits
Request throughput scales per prefix; sustained high-volume workloads should spread keys across prefixes

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 AWS S3 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 AWS S3 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
    AWS S3 connected
    Google Pubsub connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the AWS S3 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 · AWS S3 ⇄ 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
    AWS S3 Google Pubsub
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

AWS S3 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.

Learn more about security
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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:

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 355 integrations available for AWS S3 and Google Pubsub.

Popular · 6 of 355
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