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Database ⇄ Business productivity

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

Keep AWS Aurora MySQL and ConnectWise 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 AWS Aurora MySQL and ConnectWise

Mirror ConnectWise's data into AWS Aurora MySQL so your own code can read and write it like any other table, with changes flowing both ways in seconds.

Engineers integrate with tools like ConnectWise through APIs, which means auth, pagination, rate limits, webhooks, and retry logic, all maintained forever and all different for every tool. Meanwhile the data would be trivial to use if it simply lived in AWS Aurora MySQL.

Stacksync mirrors Invoices, Configurations, Members, Activities from ConnectWise into Columns, Primary keys and indexes, Views, Foreign keys in AWS Aurora MySQL and keeps both sides in sync in real time. Your services query the database directly, and inserts or updates your code makes flow back into ConnectWise, so the tool and the database never disagree.

Common use cases

  • Keep configuration (asset) records aligned with an external CMDB or RMM tool.
  • Sync time entries to payroll or BI tools for utilization analysis across technicians.
  • Sync a production Aurora cluster with an analytics database while filtering out sensitive columns.
  • Let operations teams edit records in a spreadsheet-style tool with changes written back to Aurora safely.

Automate ConnectWise from your codebase

Write to the synced tables in AWS Aurora MySQL and Stacksync propagates the change into ConnectWise, replacing custom integration code.

React to changes as they happen

Updates in ConnectWise arrive as row changes in AWS Aurora MySQL, so triggers, jobs, and services can respond in near real time.

One integration pattern for the whole stack

Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.

What you can sync between AWS Aurora MySQL and ConnectWise

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 ConnectWise objects
Foreign keys Express relationships that syncs preserve when mapping to related objects elsewhere. Members Internal users and technicians referenced by tickets and time entries.
Stored procedures and triggers Existing database logic keeps firing on rows written by a sync. Activities Sales and service activity records synced for engagement reporting.
Databases (schemas) Logical namespaces that scope which tables a sync connection can see. Companies Client and prospect account records that anchor most other PSA data in a sync.
Tables The primary sync unit; each table maps one-to-one to a table or object in the paired system. Contacts People attached to companies, commonly synced against CRM contact records.
Rows Inserted, updated, and deleted individually or in bulk during two-way syncs. Service Tickets Support and service desk tickets, including status, board, and priority fields.
Columns MySQL data types are mapped to the paired system's field types during schema setup. Opportunities Sales pipeline records synced to CRMs for forecasting and handoff.
What ships with AWS Aurora MySQL ⇄ ConnectWise

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

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

Real-time

Two-way sync

Changes in AWS Aurora MySQL or ConnectWise 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 ConnectWise 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 ConnectWise record.

Observability

Monitoring

Track your AWS Aurora MySQL ⇄ ConnectWise 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 ConnectWise.

How the AWS Aurora MySQL and ConnectWise 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

ConnectWise

Integration surface
REST API
Authentication
Public/private API key pair for an API member, combined with a registered clientId, sent via Basic authentication
Change detection
Callbacks (webhooks) on record changes, supplemented by polling on last-updated fields
Capabilities
read · write · webhooks
Rate limits
Subject to the platform's API rate limits per company and integration
How it works

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

    Choose tables

    Pick the AWS Aurora MySQL and ConnectWise 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 ⇄ ConnectWise
    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 ConnectWise
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

AWS Aurora MySQL and ConnectWise 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 ConnectWise.

Popular · 8 of 386
All AWS Aurora MySQL integrations All ConnectWise integrations Browse all integrations
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