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Communications ⇄ Data warehouse

Amazon SES to Google Cloud Platform integration — real-time, two-way sync

Keep Amazon SES and Google Cloud Platform 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 SES and Google Cloud Platform

Land the messages, calls, and events from Amazon SES in Google Cloud Platform as live tables, and write results back, without building or maintaining a pipeline.

Amazon SES produces a constant stream of activity — messages sent and received, calls placed and answered, meetings held, and the delivery and engagement events attached to them. That record is what the rest of the company wants to analyze, and it usually sits behind an API rather than in the warehouse. Building and babysitting an extraction pipeline is the tax most teams pay to get it out.

Stacksync syncs Email Templates, Suppression List, Verified Identities, Configuration Sets from Amazon SES into tables in Google Cloud Platform in real time, handling schema, rate limits, and retries. Because the connection works in both directions, results computed in Google Cloud Platform — segments, contact updates, suppression flags — can be written back into fields in Amazon SES wherever it exposes them, so analysis lands where outreach actually happens.

Common use cases

  • 01 Keep Email Templates in sync from a CMS or Git-backed source into SES via CreateEmailTemplate and UpdateEmailTemplate across environments.
  • 02 Two-way sync Contacts and their topic subscription state between the SES contact list and a Postgres database or CRM so opt-outs propagate in both directions.
  • 03 Publish change events to Pub/Sub so downstream services react to record updates as they happen.

Common sync patterns

Engagement and delivery on live data

Sends, opens, clicks, bounces, and call outcomes from Amazon SES land in Google Cloud Platform as they happen, so deliverability and response monitoring stop lagging the reality they describe.

Activity joined with everything else

Combine Amazon SES's activity with the CRM, product, and support data already in Google Cloud Platform to attribute outcomes to the touches that drove them, which no single tool can do alone.

Where Amazon SES accepts updates: operational write-back

Segments, contact fields, or suppression flags computed in Google Cloud Platform sync back onto records in Amazon SES, putting warehouse analysis where the outreach happens.

What you can sync between Amazon SES and Google Cloud Platform

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 SES objects Google Cloud Platform objects How this pairing syncs
Messages (SendEmail / SendBulkEmail) Outbound email is produced via SendEmail and SendBulkEmail, accepting raw MIME or a template plus destination list. Send-only; there is no message store to read back. Pub/Sub topics Event streams used to move change events between systems in near real time. Messages (SendEmail / SendBulkEmail) is specific to Amazon SES and Pub/Sub topics to Google Cloud Platform — each maps to any object or custom field on the other side.
Contacts Subscribers in the contact list with per-topic opt-in state; CRUD via CreateContact/ListContacts/UpdateContact/DeleteContact, each carrying a LastUpdatedTimestamp for polling. Firestore documents Document data read and written through the Firestore API for app-facing syncs. Contacts is specific to Amazon SES and Firestore documents to Google Cloud Platform — each maps to any object or custom field on the other side.
Contact Lists One list per AWS account, subdivided into Topics that group subscriptions; read and write via CreateContactList and GetContactList. Spanner tables Strongly consistent relational tables accessed via SQL for transactional workloads. Contact Lists is specific to Amazon SES and Spanner tables to Google Cloud Platform — each maps to any object or custom field on the other side.
Email Templates Reusable subject/HTML/text templates with replacement variables; synced via CreateEmailTemplate, GetEmailTemplate, ListEmailTemplates, and UpdateEmailTemplate. BigQuery datasets Namespaces that group tables; syncs target tables within a dataset. Email Templates is specific to Amazon SES and BigQuery datasets to Google Cloud Platform — each maps to any object or custom field on the other side.
Suppression List Addresses auto-added on bounce or complaint; read with ListSuppressedDestinations and written with Put/DeleteSuppressedDestination to control re-sends. BigQuery tables The primary analytics destination, written through load jobs or the Storage Write API and queried with SQL. Suppression List is specific to Amazon SES and BigQuery tables to Google Cloud Platform — each maps to any object or custom field on the other side.
Verified Identities Email-address and domain identities cleared to send; managed via CreateEmailIdentity, ListEmailIdentities, GetEmailIdentity (DKIM and verification status). Cloud SQL databases Managed Postgres, MySQL, and SQL Server instances synced like ordinary relational databases. Verified Identities is specific to Amazon SES and Cloud SQL databases to Google Cloud Platform — each maps to any object or custom field on the other side.

How changes propagate between Amazon SES and Google Cloud Platform

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 SES Google Cloud Platform Sub-second propagation

DetectionAmazon SES notifies Stacksync of record changes through webhook events. Message events (delivery, bounce, complaint, open, click) are pushed in near real time through configuration-set event destinations.

DeliveryEach detected change is applied to Google Cloud Platform as a row-level write, with types converted between the two schemas.

Google Cloud Platform Amazon SES Sub-second propagation

DetectionGoogle Cloud Platform pushes changes as they happen — webhook events backed by change data capture. Varies by service: log-based CDC on Cloud SQL (logical replication or binlog, also via Datastream), Pub/Sub for event delivery, polling for BigQuery.

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

Rate-limit considerations

  • Amazon SES: Every SES API action except SendEmail, SendRawEmail, and SendTemplatedEmail is throttled to 1 request/second per Region; the send rate and 24-hour sending quota are account-specific, adjustable, and per Region.
  • Google Cloud Platform: Quotas are set per service and per project; BigQuery, Pub/Sub, and Cloud SQL each enforce their own limits.
What ships with Amazon SES ⇄ Google Cloud Platform

Connect Amazon SES and Google Cloud Platform for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon SES–Google Cloud Platform connection.

Real-time

Two-way sync

Changes in Amazon SES or Google Cloud Platform instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon SES or Google Cloud Platform 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 SES or Google Cloud Platform record.

Observability

Monitoring

Track your Amazon SES ⇄ Google Cloud Platform sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Amazon SES and Google Cloud Platform.

How the Amazon SES and Google Cloud Platform connectors work

Amazon SES

Integration surface
AWS SES API v2 (REST/JSON over HTTPS) plus an SMTP sending interface
Authentication
AWS IAM credentials (access key + secret) signed with Signature Version 4, or an assumed IAM role via STS; the SMTP interface uses SMTP credentials derived from an IAM user
Change detection
Message events (delivery, bounce, complaint, open, click) are pushed in near real time through configuration-set event destinations (SNS/EventBridge/Firehose); contacts, templates, and suppression entries are polled via List/Get operations
Capabilities
read · write · webhooks
Rate limits
Every SES API action except SendEmail, SendRawEmail, and SendTemplatedEmail is throttled to 1 request/second per Region; the send rate and 24-hour sending quota are account-specific, adjustable, and per Region

Google Cloud Platform

Integration surface
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
Change detection
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
Capabilities
read · write · CDC · webhooks
Rate limits
Quotas are set per service and per project; BigQuery, Pub/Sub, and Cloud SQL each enforce their own limits
How it works

How to connect Amazon SES to Google Cloud Platform — 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 SES and Google Cloud Platform 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 SES connected
    Google Cloud Platform connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Amazon SES and Google Cloud Platform 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 SES ⇄ Google Cloud Platform
    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 SES Google Cloud Platform
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Amazon SES and Google Cloud Platform 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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ISO 27001
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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:

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 443 integrations available for Amazon SES and Google Cloud Platform.

Popular · 8 of 443
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