Real-time
Two-way sync
Changes in Affinity or AWS Aurora PostgreSQL instantly reflect in both systems. No stale data, no manual imports.
CRM ⇄ Database
Affinity to AWS Aurora PostgreSQL integration — real-time, two-way sync
Keep Affinity and AWS Aurora PostgreSQL in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
- SOC 2 and 6 other compliance frameworks
- POC with real engineers in minutes
Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect Affinity and AWS Aurora PostgreSQL
Treat Affinity like part of your database: its records live in AWS Aurora PostgreSQL as real tables, and writes in either place sync to the other in seconds.
Product and engineering teams constantly need CRM data, and the CRM API is a poor way to get it: rate limits, pagination, custom objects, and integration code that breaks when an admin renames a field. What they actually want is the data in AWS Aurora PostgreSQL, where it can be queried and joined like everything else.
Stacksync mirrors Opportunities, Field Values, Notes, Interactions from Affinity into Views and materialized views, Foreign keys, Replication slots and publications, Databases and schemas in AWS Aurora PostgreSQL with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in Affinity 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.
Common use cases
- Sync notes and reminders into project or task systems used outside the deal team.
- Mirror deal-flow lists into a warehouse or BI tool for pipeline and portfolio reporting.
- Feed operational dashboards from a read replica while the writer handles sync traffic.
- Expose ERP records such as customers, orders, and invoices as Postgres tables the engineering team can query and update with plain SQL.
Internal tools without API code
Back-office apps read and write the synced tables; Stacksync handles the Affinity API, limits, and retries.
Trigger workflows from CRM changes
Field and stage updates in Affinity arrive as row changes in AWS Aurora PostgreSQL, ready to drive jobs and notifications.
Query the CRM like a database
Accounts, contacts, and custom objects from Affinity become tables in AWS Aurora PostgreSQL you can join with application data directly.
What you can sync between Affinity and AWS Aurora PostgreSQL
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.
| Affinity objects | AWS Aurora PostgreSQL objects | |
|---|---|---|
| Field Values Custom field data, either global or scoped to a list, mapped field-by-field in syncs. | Columns Rich Postgres types including JSONB and arrays are mapped to the paired system's fields. | |
| Notes Meeting and call notes synced for record-keeping in other systems. | Primary keys and constraints Identify rows for upserts and enforce integrity on sync writes. | |
| Interactions Automatically captured emails and meetings, read for activity reporting. | Views and materialized views Usable as read-only sources for filtered or precomputed sync datasets. | |
| Reminders Follow-up tasks associated with people and organizations. | Foreign keys Relationship metadata that syncs can translate into object references elsewhere. | |
| Lists Pipelines (deal flow, fundraising, portfolio) that structure most Affinity data; syncs usually target a specific list. | Replication slots and publications The logical replication objects that power log-based CDC. | |
| List Entries The membership of a person, organization, or opportunity on a list, carrying its list-specific fields. | Databases and schemas PostgreSQL's two-level namespace scopes which tables a sync connection targets. |
What ships with Affinity ⇄ AWS Aurora PostgreSQL
Connect Affinity and AWS Aurora PostgreSQL for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Affinity–AWS Aurora PostgreSQL connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Affinity or AWS Aurora PostgreSQL data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
At scale
Event queues
Handle millions of events per minute without losing a single Affinity or AWS Aurora PostgreSQL record.
Observability
Monitoring
Track your Affinity ⇄ AWS Aurora PostgreSQL sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Affinity and AWS Aurora PostgreSQL.
How the Affinity and AWS Aurora PostgreSQL connectors work
Affinity
- Integration surface
- REST API
- Authentication
- API key
- Change detection
- Webhook subscriptions for record events, supplemented by polling
- Capabilities
- read · write · webhooks
- Rate limits
- Subject to the platform's published API rate limits
AWS Aurora PostgreSQL
- Integration surface
- SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC
- Authentication
- Database credentials, optionally AWS IAM database authentication, over TLS
- Change detection
- Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback
- Capabilities
- read · write · CDC
How it works
How to connect Affinity to AWS Aurora PostgreSQL — three steps, no code
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.
- 01
Connect your apps
Authenticate Affinity and AWS Aurora PostgreSQL with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Affinity
connected
AWS Aurora PostgreSQL
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Affinity and AWS Aurora PostgreSQL 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.
objects · Affinity ⇄ AWS Aurora PostgreSQLCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Affinity AWS Aurora PostgreSQLCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Affinity and AWS Aurora PostgreSQL integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Affinity and AWS Aurora PostgreSQL: authenticate both systems, choose the objects to sync (such as Affinity's Field Values and Notes), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Yes — Stacksync ships production-grade connectors for both Affinity and AWS Aurora PostgreSQL. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Affinity: Webhook subscriptions for record events, supplemented by polling. On AWS Aurora PostgreSQL: Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Affinity side: Opportunities, Field Values, Notes, Interactions, plus custom fields where Affinity exposes them. On the AWS Aurora PostgreSQL side: Views and materialized views, Foreign keys, Replication slots and publications, Databases and schemas. Stacksync auto-detects both schemas and converts types between the two systems.
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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.
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Common patterns for Affinity and AWS Aurora PostgreSQL: Internal tools without API code; Trigger workflows from CRM changes; Query the CRM like a database. Back-office apps read and write the synced tables; Stacksync handles the Affinity API, limits, and retries.
SECURITY
Security teams love Stacksync
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.
SOC 2 type II
ISO 27001
HIPAA BAA
GDPR
CCPA
CSA STAR
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS
SSO & SCIM
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Alerts
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Secure connection options
Securely connects to your systems with:
Related integrations
Every pair below is a real-time, two-way sync. Search all 386 integrations available for Affinity and AWS Aurora PostgreSQL.
Popular · 8 of 386
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Affinity ⇄ Azure Cosmos DB -
Affinity ⇄ Azure SQL Database -
Affinity ⇄ Citus -
Affinity ⇄ Couchbase -
AWS Aurora PostgreSQL ⇄ ZoomInfo -
AWS Aurora PostgreSQL ⇄ Salesforce -
AWS Aurora PostgreSQL ⇄ HubSpot -
AWS Aurora PostgreSQL ⇄ Microsoft Dynamics 365 Sales
No integrations match .
