Two-way sync
Changes in Amazon SES or Scaleway Postgres instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon SES and Scaleway Postgres in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
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 Scaleway Postgres next to everything else.
Stacksync mirrors Verified Identities, Configuration Sets, Sending Events, Messages (SendEmail / SendBulkEmail) from Amazon SES into Schemas, Sequences, Columns, Tables in Scaleway Postgres 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.
Write a row to a synced table in Scaleway Postgres and Stacksync propagates it into Amazon SES, so your code sends the message, places the call, or schedules the meeting without integration glue.
Recipients and contacts stay consistent between Amazon SES and Scaleway Postgres, so a phone number or email corrected on either side is current the next time either system uses it.
Sends, replies, answered calls, or completed meetings arrive in Scaleway Postgres as row changes, so triggers, jobs, and services can respond in near real time.
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 | Scaleway Postgres objects | How this pairing syncs | |
|---|---|---|---|
| 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). | Columns Postgres-native types, including JSONB and arrays, are mapped to fields in the paired system. | Sending Events is specific to Amazon SES and Columns to Scaleway Postgres — 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 Primary sync unit; each table maps to an object or table on the other side of the sync. | Messages (SendEmail / SendBulkEmail) is specific to Amazon SES and Tables to Scaleway Postgres — 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. | Views Read-only sources for shaping data before it leaves the database. | Contacts is specific to Amazon SES and Views to Scaleway Postgres — 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. | Materialized views Precomputed result sets that can be read on a schedule for downstream syncs. | Contact Lists is specific to Amazon SES and Materialized views to Scaleway Postgres — 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. | Schemas Namespace tables so multiple applications or environments can be synced selectively. | Email Templates is specific to Amazon SES and Schemas to Scaleway Postgres — 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. | Sequences Generate primary keys; sync tooling must respect them when writing rows. | Suppression List is specific to Amazon SES and Sequences to Scaleway Postgres — each maps to any object or custom field on the other side. |
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.
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 Scaleway Postgres as a row-level write, with types converted between the two schemas.
DetectionChanges in Scaleway Postgres are captured at the source via change data capture — no polling loop against its API. Log-based CDC via PostgreSQL logical replication where the managed instance permits it.
DeliveryEach detected change is written to Amazon SES through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon SES–Scaleway Postgres connection.
Changes in Amazon SES or Scaleway Postgres instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon SES or Scaleway Postgres data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Amazon SES or Scaleway Postgres record.
Track your Amazon SES ⇄ Scaleway Postgres sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon SES and Scaleway Postgres.
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.
Authenticate Amazon SES and Scaleway Postgres with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Amazon SES and Scaleway Postgres 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Amazon SES and Scaleway Postgres: authenticate both systems, choose the objects to sync (such as Amazon SES's Sending Events and Messages (SendEmail / SendBulkEmail)), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Amazon SES and Scaleway Postgres. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Amazon SES: 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. On Scaleway Postgres: Log-based CDC via PostgreSQL logical replication where the managed instance permits it; otherwise timestamp or query-based polling. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Amazon SES side: Verified Identities, Configuration Sets, Sending Events, Messages (SendEmail / SendBulkEmail), plus custom fields where Amazon SES exposes them. On the Scaleway Postgres side: Schemas, Sequences, Columns, Tables. Stacksync auto-detects both schemas and converts types between the two systems.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
Common patterns for Amazon SES and Scaleway Postgres: Trigger outbound communication from the database; One contact list across both; React to activity as it happens. Write a row to a synced table in Scaleway Postgres and Stacksync propagates it into Amazon SES, so your code sends the message, places the call, or schedules the meeting without integration glue.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 347 integrations available for Amazon SES and Scaleway Postgres.