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Communications ⇄ Data warehouse

Amazon SES to Snowflake integration — real-time, two-way sync

Keep Amazon SES and Snowflake 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 Amazon SES and Snowflake

Land the messages, calls, and events from Amazon SES in Snowflake 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 Contact Lists, Email Templates, Suppression List, Verified Identities from Amazon SES into tables in Snowflake in real time, handling schema, rate limits, and retries. Because the connection works in both directions, results computed in Snowflake — 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 Write bounced and complained addresses from the SES Suppression List back onto CRM and marketing records so other tools stop emailing them.
  • 02 Keep Email Templates in sync from a CMS or Git-backed source into SES via CreateEmailTemplate and UpdateEmailTemplate across environments.
  • 03 Activate modeled Snowflake tables by syncing scores and attributes back into CRM fields sales can act on
  • 04 Keep a customer 360 table aligned with its source systems in both directions instead of one-way reverse ETL

Common sync patterns

Engagement and delivery on live data

Sends, opens, clicks, bounces, and call outcomes from Amazon SES land in Snowflake 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 Snowflake 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 Snowflake sync back onto records in Amazon SES, putting warehouse analysis where the outreach happens.

What you can sync between Amazon SES and Snowflake

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 Snowflake objects How this pairing syncs
Email Templates Reusable subject/HTML/text templates with replacement variables; synced via CreateEmailTemplate, GetEmailTemplate, ListEmailTemplates, and UpdateEmailTemplate. Tasks Scheduled SQL used to transform synced data after it lands. Email Templates is specific to Amazon SES and Tasks to Snowflake — 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. VARIANT Columns Semi-structured JSON payloads stored alongside relational columns. Suppression List is specific to Amazon SES and VARIANT Columns to Snowflake — 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). Virtual Warehouses The compute a sync's queries run on, sized independently of storage. Verified Identities is specific to Amazon SES and Virtual Warehouses to Snowflake — each maps to any object or custom field on the other side.
Configuration Sets Named send-time rule groups that attach event destinations, IP pools, and suppression options; managed via Create/List ConfigurationSet operations. Databases Top-level containers that scope which data a sync can touch. Configuration Sets is specific to Amazon SES and Databases to Snowflake — each maps to any object or custom field on the other side.
Sending Events Per-message send, delivery, bounce, complaint, open, and click events; not on any API, read from a configuration-set event destination (SNS/EventBridge/Firehose). Schemas Namespaces within a database used to organize synced tables. Sending Events is specific to Amazon SES and Schemas to Snowflake — each maps to any object or custom field on the other side.
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. Tables The main landing and activation target for synced records. Messages (SendEmail / SendBulkEmail) is specific to Amazon SES and Tables to Snowflake — each maps to any object or custom field on the other side.

How changes propagate between Amazon SES and Snowflake

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

Snowflake Amazon SES Sub-second propagation

DetectionChanges in Snowflake are captured at the source via change data capture — no polling loop against its API. The setup script grants "create stream" on synced schemas (Snowflake streams), but the docs do not name the change-capture mechanism.

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.
  • Snowflake: No conventional API rate limits; cost and throughput are governed by virtual warehouse size and running time.
What ships with Amazon SES ⇄ Snowflake

Connect Amazon SES and Snowflake for flexible, real-time data sync.

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon SES or Snowflake 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 Snowflake record.

Observability

Monitoring

Track your Amazon SES ⇄ Snowflake 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 Snowflake.

How the Amazon SES and Snowflake 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

Snowflake

Integration surface
SQL via JDBC/ODBC and native drivers, plus the Snowflake SQL REST API
Authentication
Dedicated Snowflake service user + role with RSA key-pair authentication (Stacksync-provided public key), created via a setup script requiring SECURITY_ADMIN and ACCOUNTADMIN roles
Change detection
Not explicitly stated; the setup script grants "create stream" on synced schemas (Snowflake streams), but the docs do not name the change-capture mechanism
Capabilities
read · write · CDC
Rate limits
No conventional API rate limits; cost and throughput are governed by virtual warehouse size and running time
Snowflake setup guide
How it works

How to connect Amazon SES to Snowflake — 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 Snowflake 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
    Snowflake connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

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

Amazon SES and Snowflake 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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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 451 integrations available for Amazon SES and Snowflake.

Popular · 6 of 451
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