Real-time
Two-way sync
Changes in Affinity or AWS Aurora MySQL instantly reflect in both systems. No stale data, no manual imports.
CRM ⇄ Database
Affinity to AWS Aurora MySQL integration — real-time, two-way sync
Keep Affinity and AWS Aurora MySQL 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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Migrated from Celigo
Why teams connect Affinity and AWS Aurora MySQL
Treat Affinity like part of your database: its records live in AWS Aurora MySQL 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 MySQL, where it can be queried and joined like everything else.
Stacksync mirrors Opportunities, Field Values, Notes, Interactions from Affinity into Foreign keys, Stored procedures and triggers, Databases (schemas), Tables in AWS Aurora MySQL 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
- Mirror deal-flow lists into a warehouse or BI tool for pipeline and portfolio reporting.
- Push enrichment data computed elsewhere into Affinity field values on list entries.
- Give backend services read and write access to ERP or billing data by syncing it into Aurora tables the application already queries.
- Stream row changes from Aurora into SaaS tools via binlog CDC instead of scheduled batch exports.
Trigger workflows from CRM changes
Field and stage updates in Affinity arrive as row changes in AWS Aurora MySQL, ready to drive jobs and notifications.
Query the CRM like a database
Accounts, contacts, and custom objects from Affinity become tables in AWS Aurora MySQL you can join with application data directly.
Product events onto CRM records
Signup, usage, or lifecycle changes written to AWS Aurora MySQL sync onto the matching records in Affinity, giving go-to-market teams live product context.
What you can sync between Affinity and AWS Aurora MySQL
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 MySQL objects | |
|---|---|---|
| List Entries The membership of a person, organization, or opportunity on a list, carrying its list-specific fields. | Stored procedures and triggers Existing database logic keeps firing on rows written by a sync. | |
| Persons Contact records enriched with relationship intelligence, synced with CRMs and outreach tools. | Databases (schemas) Logical namespaces that scope which tables a sync connection can see. | |
| Organizations Company records matched to accounts in other systems by domain. | Tables The primary sync unit; each table maps one-to-one to a table or object in the paired system. | |
| Opportunities Deal records tracked on lists and synced with pipeline reporting. | Rows Inserted, updated, and deleted individually or in bulk during two-way syncs. | |
| Field Values Custom field data, either global or scoped to a list, mapped field-by-field in syncs. | Columns MySQL data types are mapped to the paired system's field types during schema setup. | |
| Notes Meeting and call notes synced for record-keeping in other systems. | Primary keys and indexes Used to match rows across systems and keep incremental syncs efficient. |
What ships with Affinity ⇄ AWS Aurora MySQL
Connect Affinity and AWS Aurora MySQL for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Affinity–AWS Aurora MySQL connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Affinity or AWS Aurora MySQL 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 MySQL record.
Observability
Monitoring
Track your Affinity ⇄ AWS Aurora MySQL 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 MySQL.
How the Affinity and AWS Aurora MySQL 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 MySQL
- Integration surface
- SQL wire protocol (MySQL-compatible), standard MySQL drivers and JDBC
- Authentication
- Database credentials, optionally AWS IAM database authentication, over TLS
- Change detection
- Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns as a fallback
- Capabilities
- read · write · CDC
How it works
How to connect Affinity to AWS Aurora MySQL — 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 MySQL 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 MySQL
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Affinity and AWS Aurora MySQL 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 MySQLCustomers 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 MySQLCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Affinity and AWS Aurora MySQL integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Affinity and AWS Aurora MySQL: authenticate both systems, choose the objects to sync (such as Affinity's List Entries and Persons), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Affinity: Affinity captures email and calendar interactions automatically, so much of its activity data is generated rather than manually entered. AWS Aurora MySQL: Binlog-based CDC requires binary logging to be enabled through the cluster parameter group; once on, changes can be captured without querying production tables. Stacksync's field mapping accounts for these differences between Affinity and AWS Aurora MySQL without custom code.
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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 Affinity and AWS Aurora MySQL records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Affinity and AWS Aurora MySQL connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Affinity–AWS Aurora MySQL integration in-house.
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Yes — Stacksync ships production-grade connectors for both Affinity and AWS Aurora MySQL. 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 MySQL: Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns as a fallback. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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 MySQL.
Popular · 8 of 386
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Affinity ⇄ Amazon Lightsail -
Affinity ⇄ Apache Cassandra -
Affinity ⇄ Azure Cosmos DB -
Affinity ⇄ Azure SQL Database -
AWS Aurora MySQL ⇄ Microsoft Dynamics 365 Sales -
AWS Aurora MySQL ⇄ Attio -
AWS Aurora MySQL ⇄ Pipedrive -
AWS Aurora MySQL ⇄ Zoho CRM
No integrations match .
