Two-way sync
Changes in Amazon RDS or Autopilot instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon RDS and Autopilot in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
AI systems do not hold customers or invoices the way business apps do. What they hold is derived from your data: the vectors and metadata in a vector store, or the classifications, extracted fields, and generated text a model produces over records it was given. Amazon RDS is where those source records actually live. The bridge between the two is the row itself, since an item in Autopilot and the record in Amazon RDS it describes are two halves of the same thing, and they drift the moment one is updated without the other.
Stacksync syncs Primary and Unique Keys, Read Replicas, Stored Procedures, Databases in Amazon RDS with Smart Segments, Journeys (Triggers), Activities, Contacts in Autopilot in real time. Rows created or changed in Amazon RDS flow into Autopilot so inference and embedding run on current data, and the scores, labels, and generated fields Autopilot produces flow back onto the matching rows in Amazon RDS, mapped field by field. A change on either side appears on the other within seconds, with no extraction job or webhook plumbing to keep alive.
Because matching is by a stable identifier, every row in Amazon RDS stays tied to its AI-side counterpart in Autopilot. Retrieval, enrichment, and generated content always resolve back to the record they came from, so there are no orphaned vectors and no labels describing a version of a row that no longer exists.
Rows created or changed in Amazon RDS flow into Autopilot as they happen, so embeddings, classifications, and prompts run on the latest records instead of a nightly snapshot.
Scores, labels, extracted fields, or generated text produced in Autopilot land on the matching row in Amazon RDS, next to the source data your applications already query.
When a row in Amazon RDS is updated or removed, its counterpart in Autopilot is updated or removed too, so nothing in Autopilot describes a record that has since changed or gone.
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 RDS objects | Autopilot objects | How this pairing syncs | |
|---|---|---|---|
| Primary and Unique Keys Match keys for idempotent upserts. | Journeys (Triggers) Automation journeys; a contact can be added to a journey via its trigger endpoint to start automated email or SMS sequences. | Primary and Unique Keys is specific to Amazon RDS and Journeys (Triggers) to Autopilot — each maps to any object or custom field on the other side. | |
| Read Replicas Low-impact read endpoints often used as the source side of a sync. | Activities Per-contact activity and event history (opens, clicks, journey steps); read-only feed used for engagement reporting. | Read Replicas is specific to Amazon RDS and Activities to Autopilot — each maps to any object or custom field on the other side. | |
| Stored Procedures Engine-specific logic that can react to synced rows. | Contacts Core people records (email, name, custom fields, list and segment membership); upserted two-way as the primary sync object. | Stored Procedures is specific to Amazon RDS and Contacts to Autopilot — each maps to any object or custom field on the other side. | |
| Databases Engine-level databases on the instance that scope a sync's reads and writes. | Lists Static contact lists; membership is readable per list and writable by adding or removing contacts. | Databases is specific to Amazon RDS and Lists to Autopilot — each maps to any object or custom field on the other side. | |
| Schemas Namespaces within a database used to isolate synced tables. | Custom Fields User-defined contact properties (string, number, date, boolean); discovered so field keys map cleanly to destination columns. | Schemas is specific to Amazon RDS and Custom Fields to Autopilot — each maps to any object or custom field on the other side. | |
| Tables The core sync target; rows map to records in connected SaaS systems. | Smart Segments Rule-based dynamic audiences; membership is computed by Autopilot, so it is read-only over the API. | Tables is specific to Amazon RDS and Smart Segments to Autopilot — 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.
DetectionChanges in Amazon RDS are captured at the source via change data capture — no polling loop against its API. Engine-native log-based CDC: MySQL/MariaDB binlog, PostgreSQL logical replication, SQL Server CDC.
DeliveryEach detected change is written to Autopilot through its API, with automatic retries and rate-limit backoff.
DetectionStacksync polls Autopilot for changes on an incremental schedule, reading only records changed since the previous pass. No CDC.
DeliveryEach detected change is applied to Amazon RDS as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon RDS–Autopilot connection.
Changes in Amazon RDS or Autopilot instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon RDS or Autopilot 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 RDS or Autopilot record.
Track your Amazon RDS ⇄ Autopilot sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon RDS and Autopilot.
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 RDS and Autopilot 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 RDS and Autopilot 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 RDS and Autopilot: authenticate both systems, choose the objects to sync (such as Amazon RDS's Primary and Unique Keys and Read Replicas), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Amazon RDS and Autopilot. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Amazon RDS: Engine-native log-based CDC: MySQL/MariaDB binlog, PostgreSQL logical replication, SQL Server CDC; enabled through RDS parameter groups, with polling as a fallback. On Autopilot: No CDC; incremental sync polls the /contacts endpoint with bookmark cursor pagination and updated timestamps. Journey webhook actions can push specific contact events, but there is no general change-subscription webhook, so polling is the reliable path. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Autopilot side: Smart Segments, Journeys (Triggers), Activities, Contacts, plus custom fields where Autopilot exposes them. On the Amazon RDS side: Primary and Unique Keys, Read Replicas, Stored Procedures, Databases. 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 RDS and Autopilot: Run the AI on current data; Write results back onto the record; Keep derived data fresh as sources change. Rows created or changed in Amazon RDS flow into Autopilot as they happen, so embeddings, classifications, and prompts run on the latest records instead of a nightly snapshot.
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 427 integrations available for Amazon RDS and Autopilot.