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Communications ⇄ Database

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

Keep Amazon SES and Jdbc 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 Jdbc

Turn the messages, calls, and events Amazon SES handles into live rows in Jdbc, 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 Jdbc next to everything else.

Stacksync mirrors Email Templates, Suppression List, Verified Identities, Configuration Sets from Amazon SES into Stored procedures & functions, Sequences, Tables, Views in Jdbc 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 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 Write records from a CRM, ERP, or another app back into database tables via SQL INSERT and UPDATE so the database stays current.
  • 04 Connect a niche or legacy RDBMS that has no dedicated Stacksync connector but ships a JDBC driver, using its JDBC URL to sync it two-way.

Common sync patterns

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.

Communication history as database rows

Every message, call, or event Amazon SES records becomes rows in Jdbc, ready to query, join with your own data, and report on without touching the vendor API.

Trigger outbound communication from the database

Write a row to a synced table in Jdbc and Stacksync propagates it into Amazon SES, so your code sends the message, places the call, or schedules the meeting without integration glue.

What you can sync between Amazon SES and Jdbc

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 Jdbc objects How this pairing syncs
Contact Lists One list per AWS account, subdivided into Topics that group subscriptions; read and write via CreateContactList and GetContactList. Stored procedures & functions Server-side routines callable via JDBC CallableStatement; invoked for custom read or write logic when a table-level mapping is not enough. Contact Lists is specific to Amazon SES and Stored procedures & functions to Jdbc — 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. Sequences Server-generated identity values; relevant when writing rows into tables whose keys are assigned by the database rather than the source system. Email Templates is specific to Amazon SES and Sequences to Jdbc — 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 The base relational tables in the target database; synced two-way as rows over SQL, with each table's primary key driving upserts and row-level updates. Suppression List is specific to Amazon SES and Tables to Jdbc — 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 Stored SELECT queries exposed like tables; read-only projections synced outbound when raw base tables should not be exposed downstream. Verified Identities is specific to Amazon SES and Views to Jdbc — 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. Columns Per-table fields with data types, nullability, and defaults; enumerated via DatabaseMetaData.getColumns to auto-generate and type-check field mappings. Configuration Sets is specific to Amazon SES and Columns to Jdbc — 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). Primary keys & indexes Key and index definitions read via DatabaseMetaData; the primary key is required for reliable upserts, and indexes on the cursor column keep incremental polling fast. Sending Events is specific to Amazon SES and Primary keys & indexes to Jdbc — each maps to any object or custom field on the other side.

How changes propagate between Amazon SES and Jdbc

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

Jdbc Amazon SES Interval-based propagation

DetectionStacksync polls Jdbc for changes on an incremental schedule, reading only records changed since the previous pass. No native change feed.

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.
  • Jdbc: No SaaS-style request quota. Throughput is bounded by the target database's max connections and connection-pool size, plus the CPU and I/O it shares with production queries, so heavy syncs can contend with live workloads.
What ships with Amazon SES ⇄ Jdbc

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon SES or Jdbc 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 Jdbc record.

Observability

Monitoring

Track your Amazon SES ⇄ Jdbc 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 Jdbc.

How the Amazon SES and Jdbc 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

Jdbc

Integration surface
JDBC API (java.sql / javax.sql) executing SQL through a JDBC driver, typically a pure-Java Type 4 driver; reaches any relational database with a driver - PostgreSQL, MySQL, SQL Server, Oracle, IBM DB2, and others - via a JDBC URL such as jdbc:postgresql://host:5432/db.
Authentication
A database user's username and password supplied in the JDBC connection (DriverManager or a DataSource), typically over a TLS/SSL-encrypted connection. Some drivers add Kerberos, integrated Windows auth, or cloud IAM-token auth, but the available methods depend on the target database and its driver.
Change detection
No native change feed. Incremental sync polls a cursor column - an updated_at timestamp or an auto-incrementing key - to pull new and changed rows; detecting deletes needs soft-delete flags or database triggers writing to a shadow table. No webhooks.
Capabilities
read · write
Rate limits
No SaaS-style request quota. Throughput is bounded by the target database's max connections and connection-pool size, plus the CPU and I/O it shares with production queries, so heavy syncs can contend with live workloads.
How it works

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

    Choose tables

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

Amazon SES and Jdbc 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 335 integrations available for Amazon SES and Jdbc.

Popular · 7 of 335
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