Two-way sync
Changes in Amazon SES or SingleStore instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon SES and SingleStore 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 SingleStore next to everything else.
Stacksync mirrors Sending Events, Messages (SendEmail / SendBulkEmail), Contacts, Contact Lists from Amazon SES into Views, Reference Tables, Pipelines, Stored Procedures in SingleStore 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 SingleStore 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 SingleStore, 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 SingleStore 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 | SingleStore objects | How this pairing syncs | |
|---|---|---|---|
| Email Templates Reusable subject/HTML/text templates with replacement variables; synced via CreateEmailTemplate, GetEmailTemplate, ListEmailTemplates, and UpdateEmailTemplate. | Views Read-only projections used as curated sync sources. | Email Templates is specific to Amazon SES and Views to SingleStore — 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. | Reference Tables Small tables replicated to every node, often used for dimension data in syncs. | Suppression List is specific to Amazon SES and Reference Tables to SingleStore — 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). | Pipelines Native ingestion jobs from Kafka or object storage that coexist with external syncs. | Verified Identities is specific to Amazon SES and Pipelines to SingleStore — 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. | Stored Procedures Existing logic sometimes invoked on write paths. | Configuration Sets is specific to Amazon SES and Stored Procedures to SingleStore — 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). | Indexes and Shard Keys Determine data distribution and lookup speed for sync match keys. | Sending Events is specific to Amazon SES and Indexes and Shard Keys to SingleStore — 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. | Databases The connection target containing the tables a sync addresses. | Messages (SendEmail / SendBulkEmail) is specific to Amazon SES and Databases to SingleStore — 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 SingleStore as a row-level write, with types converted between the two schemas.
DetectionStacksync polls SingleStore for changes on an incremental schedule, reading only records changed since the previous pass. Polling on timestamp or watermark columns.
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–SingleStore connection.
Changes in Amazon SES or SingleStore instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon SES or SingleStore 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 SingleStore record.
Track your Amazon SES ⇄ SingleStore sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon SES and SingleStore.
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 SingleStore 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 SingleStore 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 SingleStore: authenticate both systems, choose the objects to sync (such as Amazon SES's Email Templates and Suppression List), map fields visually, and changes propagate both ways in milliseconds — no code required.
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 SingleStore: Polling on timestamp or watermark columns; the platform also provides change-observation features in recent versions. 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: Sending Events, Messages (SendEmail / SendBulkEmail), Contacts, Contact Lists, plus custom fields where Amazon SES exposes them. On the SingleStore side: Views, Reference Tables, Pipelines, Stored Procedures. 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 SingleStore: 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 SingleStore and Stacksync propagates it into Amazon SES, so your code sends the message, places the call, or schedules the meeting without integration glue.
Amazon SES: 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. SingleStore: SQL over the MySQL wire protocol; an HTTP Data API is also available for SQL over REST. Authentication: Database credentials. Stacksync manages authentication, retries, and rate limits on both sides.
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 353 integrations available for Amazon SES and SingleStore.