Two-way sync
Changes in Amazon SES or StarRocks instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon SES and StarRocks in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Amazon SES produces a constant stream of activity — messages sent and received, calls placed and answered, meetings held, and the delivery and engagement events attached to them. That record is what the rest of the company wants to analyze, and it usually sits behind an API rather than in the warehouse. Building and babysitting an extraction pipeline is the tax most teams pay to get it out.
Stacksync syncs Suppression List, Verified Identities, Configuration Sets, Sending Events from Amazon SES into tables in StarRocks in real time, handling schema, rate limits, and retries. Because the connection works in both directions, results computed in StarRocks — segments, contact updates, suppression flags — can be written back into fields in Amazon SES wherever it exposes them, so analysis lands where outreach actually happens.
Messages, calls, and events from Amazon SES arrive in StarRocks as queryable tables, current within seconds instead of a day behind.
Sends, opens, clicks, bounces, and call outcomes from Amazon SES land in StarRocks as they happen, so deliverability and response monitoring stop lagging the reality they describe.
Combine Amazon SES's activity with the CRM, product, and support data already in StarRocks to attribute outcomes to the touches that drove them, which no single tool can do alone.
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 | StarRocks objects | How this pairing syncs | |
|---|---|---|---|
| Configuration Sets Named send-time rule groups that attach event destinations, IP pools, and suppression options; managed via Create/List ConfigurationSet operations. | Columns Columnar storage with types mapped from source systems during sync. | Configuration Sets is specific to Amazon SES and Columns to StarRocks — 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). | Databases Top-level namespaces addressed exactly as in MySQL clients. | Sending Events is specific to Amazon SES and Databases to StarRocks — 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 Defined with a table model (Primary Key, Unique Key, Aggregate, Duplicate Key) that determines update behavior. | Messages (SendEmail / SendBulkEmail) is specific to Amazon SES and Tables to StarRocks — 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. | Materialized views Automatically maintained rollups used to accelerate queries on synced data. | Contacts is specific to Amazon SES and Materialized views to StarRocks — 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. | Views Logical views for shaping analytical reads. | Contact Lists is specific to Amazon SES and Views to StarRocks — 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. | Partitions Time or range partitions that scope loads and retention. | Email Templates is specific to Amazon SES and Partitions to StarRocks — 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 StarRocks as a row-level write, with types converted between the two schemas.
DetectionStacksync polls StarRocks for changes on an incremental schedule, reading only records changed since the previous pass. Query-based polling when reading.
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–StarRocks connection.
Changes in Amazon SES or StarRocks instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon SES or StarRocks 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 StarRocks record.
Track your Amazon SES ⇄ StarRocks sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon SES and StarRocks.
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 StarRocks 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 StarRocks 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 StarRocks: authenticate both systems, choose the objects to sync (such as Amazon SES's Configuration Sets and Sending Events), map fields visually, and changes propagate both ways in milliseconds — no code required.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Amazon SES and StarRocks records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Amazon SES and StarRocks connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Amazon SES–StarRocks integration in-house.
Yes — Stacksync ships production-grade connectors for both Amazon SES and StarRocks. 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 StarRocks: Query-based polling when reading; StarRocks is most often the destination side of a sync. 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: Suppression List, Verified Identities, Configuration Sets, Sending Events, plus custom fields where Amazon SES exposes them. On the StarRocks side: Columns, Databases, Tables, Materialized views. Stacksync auto-detects both schemas and converts types between the two systems.
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 338 integrations available for Amazon SES and StarRocks.