Two-way sync
Changes in Amazon RDS or Attio instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon RDS and Attio in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Product and data teams mirror Attio into Amazon RDS so CRM data is queryable next to application data. Attio People, Companies, and Deals sync into RDS Tables with Primary and Unique Keys, and updates written to those Tables flow back into Attio, keeping the CRM and the database consistent.
Stacksync mirrors Custom objects, People, Companies, Users from Attio into Schemas, Tables, Views, Columns in Amazon RDS with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in Attio with validation intact. Go-to-market teams keep working in the CRM, engineers keep working in the database, and neither has to think about the other.
Attio People and Companies sync into RDS Tables the data team joins against product usage.
rows updated in RDS push computed fields onto Attio Deals for the sales team.
Attio Custom objects map to dedicated RDS Tables with matching Columns.
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 | Attio objects | How this pairing syncs | |
|---|---|---|---|
| Databases Engine-level databases on the instance that scope a sync's reads and writes. | Users Synced with incremental and full sync per the Stacksync docs. | Databases is specific to Amazon RDS and Users to Attio — each maps to any object or custom field on the other side. | |
| Schemas Namespaces within a database used to isolate synced tables. | Deals Pipeline records; read out for revenue reporting and written to from automation. | Schemas is specific to Amazon RDS and Deals to Attio — 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. | Workspaces Synced with incremental and full sync per the Stacksync docs. | Tables is specific to Amazon RDS and Workspaces to Attio — each maps to any object or custom field on the other side. | |
| Views Read-side projections exposed to outbound syncs. | Custom objects Workspace-defined objects that behave like standard ones in the API. | Views is specific to Amazon RDS and Custom objects to Attio — each maps to any object or custom field on the other side. | |
| Columns Field-level mapping targets, typed per the underlying engine. | People Standard person object; synced with marketing tools and warehouse person tables. | Columns is specific to Amazon RDS and People to Attio — each maps to any object or custom field on the other side. | |
| Primary and Unique Keys Match keys for idempotent upserts. | Companies Standard company object; matched to billing and product accounts in two-way syncs. | Primary and Unique Keys is specific to Amazon RDS and Companies to Attio — 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 Attio through its API, with automatic retries and rate-limit backoff.
DetectionAttio notifies Stacksync of record changes through webhook events. Webhooks on record and list-entry events, with polling as a fallback.
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–Attio connection.
Changes in Amazon RDS or Attio instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon RDS or Attio 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 Attio record.
Track your Amazon RDS ⇄ Attio sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon RDS and Attio.
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 Attio 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 Attio 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 Attio: authenticate both systems, choose the objects to sync (such as Amazon RDS's Databases and Schemas), map fields visually, and changes propagate both ways in milliseconds — no code required.
Attio: Docs do not document the authentication mechanism, change-detection method, or write/CDC/webhook behavior for Attio. Amazon RDS: IAM database authentication can replace static passwords on supported engines, letting integrations authenticate with short-lived tokens. Stacksync's field mapping accounts for these differences between Amazon RDS and Attio without custom code.
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 RDS and Attio records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Amazon RDS and Attio connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Amazon RDS–Attio integration in-house.
Yes — Stacksync ships production-grade connectors for both Amazon RDS and Attio. 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 Attio: Webhooks on record and list-entry events, with polling as a fallback. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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 478 integrations available for Amazon RDS and Attio.