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Communications ⇄ Database

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

Keep Amazon SES and DuckDB 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 DuckDB

Turn the messages, calls, and events Amazon SES handles into live rows in DuckDB, and write back to trigger new outbound communication, with both sides in sync in seconds.

Engineers reach communications tools like Amazon SES through APIs, which means auth tokens, webhooks, delivery callbacks, and rate limits, all maintained forever and all shaped differently for every tool. The data those tools produce, who was contacted, what was sent, and what came back, would be simple to use if it lived in DuckDB next to everything else.

Stacksync mirrors Verified Identities, Configuration Sets, Sending Events, Messages (SendEmail / SendBulkEmail) from Amazon SES into Views, External files (Parquet/CSV/JSON), Attached databases, Database files in DuckDB and keeps both sides in sync in real time. Communication activity lands in the database as ordinary rows you can query and join, and rows your code writes, such as a queued outbound message or an updated contact, flow back into Amazon SES so the tool and the database never disagree.

There is no webhook endpoint to host, no rate limit to babysit, and no nightly export that leaves your services reading yesterday's activity.

Common use cases

  • 01 Stream SES sending events (delivery, bounce, complaint, open, click) from a configuration-set event destination into a warehouse for deliverability reporting.
  • 02 Write bounced and complained addresses from the SES Suppression List back onto CRM and marketing records so other tools stop emailing them.
  • 03 Sync SaaS data to Parquet on object storage and query it with DuckDB without standing up a warehouse.
  • 04 Push aggregates computed in DuckDB out to a CRM or business tools so analysis results reach operational systems.

Common sync patterns

One contact list across both

Recipients and contacts stay consistent between Amazon SES and DuckDB, so a phone number or email corrected on either side is current the next time either system uses it.

React to activity as it happens

Sends, replies, answered calls, or completed meetings arrive in DuckDB as row changes, so triggers, jobs, and services can respond in near real time.

One integration pattern for every channel

Each communications tool looks like tables in the database, so adding email, voice, or messaging is configuration rather than a new codebase.

What you can sync between Amazon SES and DuckDB

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 DuckDB objects How this pairing syncs
Email Templates Reusable subject/HTML/text templates with replacement variables; synced via CreateEmailTemplate, GetEmailTemplate, ListEmailTemplates, and UpdateEmailTemplate. Schemas Namespaces within a database used to organize tables in sync outputs. Email Templates is specific to Amazon SES and Schemas to DuckDB — 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. Tables Columnar tables created via SQL; the destination for materialized sync data. Suppression List is specific to Amazon SES and Tables to DuckDB — 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). Views SQL views used to shape or filter data for downstream consumers. Verified Identities is specific to Amazon SES and Views to DuckDB — 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. External files (Parquet/CSV/JSON) Files DuckDB queries in place without loading, common as a sync interchange format. Configuration Sets is specific to Amazon SES and External files (Parquet/CSV/JSON) to DuckDB — 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). Attached databases Additional database files or external systems attached into one session for cross-source queries. Sending Events is specific to Amazon SES and Attached databases to DuckDB — 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. Database files Single-file .duckdb databases that jobs read and write directly on disk or object storage. Messages (SendEmail / SendBulkEmail) is specific to Amazon SES and Database files to DuckDB — each maps to any object or custom field on the other side.

How changes propagate between Amazon SES and DuckDB

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

DuckDB Amazon SES Interval-based propagation

DetectionStacksync polls DuckDB for changes on an incremental schedule, reading only records changed since the previous pass. Polling or full re-reads.

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.
  • DuckDB: No API rate limits; throughput is bounded by local compute and I/O.
What ships with Amazon SES ⇄ DuckDB

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon SES or DuckDB 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 DuckDB record.

Observability

Monitoring

Track your Amazon SES ⇄ DuckDB 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 DuckDB.

How the Amazon SES and DuckDB 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

DuckDB

Integration surface
In-process SQL engine via client libraries (Python, Node.js, JDBC, CLI); no server or network API by default
Authentication
None built in; access control is file-system level (MotherDuck adds token auth for its hosted service)
Change detection
Polling or full re-reads; no change feed or transaction log API
Capabilities
read · write
Rate limits
No API rate limits; throughput is bounded by local compute and I/O
How it works

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

    Choose tables

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

Amazon SES and DuckDB 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 352 integrations available for Amazon SES and DuckDB.

Popular · 7 of 352
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