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Database ⇄ CRM

Amazon Aurora to Folk CRM integration — real-time, two-way sync

Keep Amazon Aurora and Folk CRM 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 Amazon Aurora and Folk CRM

Treat Folk CRM like part of your database: its records live in Amazon Aurora 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 Amazon Aurora, where it can be queried and joined like everything else.

Stacksync mirrors Groups, Custom fields, Notes, Reminders from Folk CRM into Schemas, Tables, Views, Materialized Views in Amazon Aurora with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in Folk CRM 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

  • Push enriched contact data from a data warehouse into folk custom fields.
  • Mirror folk groups into a reporting database to track pipeline and outreach coverage.
  • Consolidate several Aurora clusters into one reporting database.
  • Write enriched or scored records from analytics pipelines back into the Aurora tables that power an application.

Query the CRM like a database

Accounts, contacts, and custom objects from Folk CRM become tables in Amazon Aurora you can join with application data directly.

Product events onto CRM records

Signup, usage, or lifecycle changes written to Amazon Aurora sync onto the matching records in Folk CRM, giving go-to-market teams live product context.

Internal tools without API code

Back-office apps read and write the synced tables; Stacksync handles the Folk CRM API, limits, and retries.

What you can sync between Amazon Aurora and Folk CRM

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 Aurora objects Folk CRM objects
Tables Relational tables synced bi-directionally at row level. Companies Organization records linked to people and kept aligned with billing or CS systems.
Views Read-only query-backed sources for downstream syncs. Groups Shared workspaces that organize contacts; group membership is often the field integrations act on.
Materialized Views Precomputed result sets (PostgreSQL-compatible clusters) readable as sources. Custom fields Group-scoped attributes that receive enriched or computed values from external systems.
Columns and Data Types Standard MySQL or PostgreSQL types mapped during field mapping. Notes Free-text context attached to people and companies, readable for reporting.
Primary and Foreign Keys Constraints used to identify records and preserve relational integrity in syncs. Reminders Follow-up items that can be created from external triggers.
Read Replicas Reader endpoints that syncs can target to keep load off the writer. People Contact records; the primary entity synced with outreach and enrichment tools.
What ships with Amazon Aurora ⇄ Folk CRM

Connect Amazon Aurora and Folk CRM for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Aurora–Folk CRM connection.

Real-time

Two-way sync

Changes in Amazon Aurora or Folk CRM instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon Aurora or Folk CRM 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 Amazon Aurora or Folk CRM record.

Observability

Monitoring

Track your Amazon Aurora ⇄ Folk CRM sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Amazon Aurora and Folk CRM.

How the Amazon Aurora and Folk CRM connectors work

Amazon Aurora

Integration surface
MySQL or PostgreSQL wire protocol (SQL); optional RDS Data API over HTTPS
Authentication
Database credentials or IAM database authentication
Change detection
Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters; polling as a fallback
Capabilities
read · write · CDC
Rate limits
No API rate limits for wire-protocol access; throughput is bounded by instance class and connection limits

Folk CRM

Integration surface
REST API
Authentication
API key (Bearer token)
Change detection
Webhook subscriptions for record events, with polling of list endpoints as a fallback
Capabilities
read · write · webhooks
Rate limits
Subject to the platform's API rate limits
How it works

How to connect Amazon Aurora to Folk CRM — 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.

  1. 01

    Connect your apps

    Authenticate Amazon Aurora and Folk CRM with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Amazon Aurora connected
    Folk CRM connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Amazon Aurora and Folk CRM 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Amazon Aurora ⇄ Folk CRM
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Amazon Aurora Folk CRM
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Amazon Aurora and Folk CRM integration FAQ

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.

Learn more about security
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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 386 integrations available for Amazon Aurora and Folk CRM.

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