Two-way sync
Changes in Amazon SES or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon SES and TimescaleDB 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 TimescaleDB next to everything else.
Stacksync mirrors Verified Identities, Configuration Sets, Sending Events, Messages (SendEmail / SendBulkEmail) from Amazon SES into Regular PostgreSQL Tables, Views, Schemas, Hypertables in TimescaleDB 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.
Recipients and contacts stay consistent between Amazon SES and TimescaleDB, 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 TimescaleDB as row changes, so triggers, jobs, and services can respond in near real time.
Each communications tool looks like tables in the database, so adding email, voice, or messaging is configuration rather than a new codebase.
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 | TimescaleDB objects | How this pairing syncs | |
|---|---|---|---|
| Suppression List Addresses auto-added on bounce or complaint; read with ListSuppressedDestinations and written with Put/DeleteSuppressedDestination to control re-sends. | Views Standard SQL views used to shape or filter data for consumers. | Suppression List is specific to Amazon SES and Views to TimescaleDB — 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). | Schemas Postgres namespaces used to separate synced datasets by team or environment. | Verified Identities is specific to Amazon SES and Schemas to TimescaleDB — 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. | Hypertables Time-partitioned tables that hold the main time-series data; the primary read and write target in syncs. | Configuration Sets is specific to Amazon SES and Hypertables to TimescaleDB — 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). | Chunks Time-bounded partitions of a hypertable; syncs read and write through the parent hypertable and never address chunks directly. | Sending Events is specific to Amazon SES and Chunks to TimescaleDB — 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. | Continuous Aggregates Incrementally maintained rollups that serve as pre-aggregated read sources for downstream systems. | Messages (SendEmail / SendBulkEmail) is specific to Amazon SES and Continuous Aggregates to TimescaleDB — 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. | Regular PostgreSQL Tables Relational reference data such as devices, tenants, or accounts synced alongside the series data. | Contacts is specific to Amazon SES and Regular PostgreSQL Tables to TimescaleDB — 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 TimescaleDB as a row-level write, with types converted between the two schemas.
DetectionChanges in TimescaleDB are captured at the source via change data capture — no polling loop against its API. Log-based capture via PostgreSQL logical decoding where the deployment allows it — hypertable changes surface on the underlying chunk tables and must.
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–TimescaleDB connection.
Changes in Amazon SES or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon SES or TimescaleDB 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 TimescaleDB record.
Track your Amazon SES ⇄ TimescaleDB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon SES and TimescaleDB.
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 TimescaleDB 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 TimescaleDB 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 TimescaleDB: authenticate both systems, choose the objects to sync (such as Amazon SES's Suppression List and Verified Identities), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Amazon SES and TimescaleDB. 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 TimescaleDB: Log-based capture via PostgreSQL logical decoding where the deployment allows it — hypertable changes surface on the underlying chunk tables and must be remapped to the parent — or timestamp-based polling on time columns; regular Postgres tables replicate through standard logical replication. 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 TimescaleDB side: Regular PostgreSQL Tables, Views, Schemas, Hypertables. 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 TimescaleDB: One contact list across both; React to activity as it happens; One integration pattern for every channel. Recipients and contacts stay consistent between Amazon SES and TimescaleDB, so a phone number or email corrected on either side is current the next time either system uses it.
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 333 integrations available for Amazon SES and TimescaleDB.