Skip to content
Database ⇄ CRM

AWS Aurora MySQL to Close integration — real-time, two-way sync

Keep AWS Aurora MySQL and Close 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

Case study
Migrated from Mulesoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect AWS Aurora MySQL and Close

Treat Close 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, Activities, Tasks, Custom Activities from Close into Views, Foreign keys, Stored procedures and triggers, Databases (schemas) 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 Close 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 call, SMS, and email activity data into a warehouse for rep performance and outreach-cadence analysis.
  • Write product usage or firmographic data from an internal database onto Close lead custom fields to prioritize follow-up.
  • Let operations teams edit records in a spreadsheet-style tool with changes written back to Aurora safely.
  • Give backend services read and write access to ERP or billing data by syncing it into Aurora tables the application already queries.

Internal tools without API code

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

Trigger workflows from CRM changes

Field and stage updates in Close 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 Close become tables in AWS Aurora MySQL you can join with application data directly.

What you can sync between AWS Aurora MySQL and Close

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.

AWS Aurora MySQL objects Close objects
Columns MySQL data types are mapped to the paired system's field types during schema setup. Opportunities Deal records with value, confidence, and status; commonly synced to reporting and billing systems.
Primary keys and indexes Used to match rows across systems and keep incremental syncs efficient. Activities Calls, emails, SMS, notes, and meetings logged against a lead; the source for engagement analytics.
Views Can serve as read-only sync sources for derived or filtered datasets. Tasks Follow-up items assigned to users; synced for workload and SLA reporting.
Foreign keys Express relationships that syncs preserve when mapping to related objects elsewhere. Custom Activities User-defined activity types with their own custom fields, mapped like standard activities.
Stored procedures and triggers Existing database logic keeps firing on rows written by a sync. Custom Fields Org-specific fields on leads, contacts, and opportunities; addressed by stable field ids in syncs.
Databases (schemas) Logical namespaces that scope which tables a sync connection can see. Users Sales reps referenced as owners on leads, opportunities, and activities.
What ships with AWS Aurora MySQL ⇄ Close

Connect AWS Aurora MySQL and Close for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora MySQL–Close connection.

Real-time

Two-way sync

Changes in AWS Aurora MySQL or Close instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever AWS Aurora MySQL or Close 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 AWS Aurora MySQL or Close record.

Observability

Monitoring

Track your AWS Aurora MySQL ⇄ Close sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between AWS Aurora MySQL and Close.

How the AWS Aurora MySQL and Close connectors work

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

Close

Integration surface
REST API
Authentication
API key (sent via HTTP Basic auth)
Change detection
Webhook subscriptions for record events, with polling on date_updated fields for backfills
Capabilities
read · write · webhooks
Rate limits
Subject to per-endpoint rate limits communicated in response headers
How it works

How to connect AWS Aurora MySQL to Close — 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 AWS Aurora MySQL and Close 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
    AWS Aurora MySQL connected
    Close connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the AWS Aurora MySQL and Close 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 · AWS Aurora MySQL ⇄ Close
    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
    AWS Aurora MySQL Close
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
Try interactive demo
FAQ

AWS Aurora MySQL and Close 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 AWS Aurora MySQL and Close.

Popular · 8 of 386
All AWS Aurora MySQL integrations All Close integrations Browse all integrations
Coworkers laughing in front of a laptop in a casual office setting

Your last integration took months.
Your next one takes a prompt.

Book a demo Tour the platform on your own