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Database ⇄ ERP

AWS Aurora MySQL to JobBOSS² integration — real-time, two-way sync

Keep AWS Aurora MySQL and JobBOSS² 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 JobBOSS²

Give your engineers JobBOSS²'s data in AWS Aurora MySQL: read it with normal queries, write back through the sync, and skip the ERP API entirely.

ERP data sits behind interfaces built for the ERP's own modules, not for your internal systems. Teams that need those records, for reporting services, internal tools, or automations, end up writing integration code against a strict API and maintaining it through every upgrade.

Stacksync mirrors Routings & Operations, Materials & Inventory, Purchase Orders, Vendors from JobBOSS² into AWS Aurora MySQL and keeps both sides consistent in real time. Whatever JobBOSS² is the system of record for, whether financials, operations, people, or procurement, those records become rows your code can query, and changes written in AWS Aurora MySQL sync back into JobBOSS² with its validations respected.

Common use cases

  • Stream row changes from Aurora into SaaS tools via binlog CDC instead of scheduled batch exports.
  • Sync a production Aurora cluster with an analytics database while filtering out sensitive columns.
  • Mirror job costing and invoice data into accounting or BI systems for margin reporting per job
  • Keep customer and vendor records consistent between JobBOSS² and the rest of the stack

Internal tools and automations without API code

Scripts and services read and write the synced tables; Stacksync handles the JobBOSS² interface, limits, and retries.

React to ERP changes

Updates in JobBOSS² arrive as row changes in AWS Aurora MySQL, so jobs and triggers can respond as the business record changes.

Where JobBOSS² is the HR system of record: people data for internal systems

Worker and org records stay current in AWS Aurora MySQL for provisioning, access, and reporting systems that read from the database.

What you can sync between AWS Aurora MySQL and JobBOSS²

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 JobBOSS² objects
Stored procedures and triggers Existing database logic keeps firing on rows written by a sync. Time Entries Shop-floor time data consolidates into costing and payroll reporting.
Databases (schemas) Logical namespaces that scope which tables a sync connection can see. Invoices Billing documents flow to accounting and BI systems.
Tables The primary sync unit; each table maps one-to-one to a table or object in the paired system. Shipments Shipment records close the loop to customers and CRM records.
Rows Inserted, updated, and deleted individually or in bulk during two-way syncs. Customers Customer records sync with CRM accounts so sales and the shop share one file.
Columns MySQL data types are mapped to the paired system's field types during schema setup. Quotes / Estimates Estimating records sync to CRM pipelines so quote status is visible outside the ERP.
Primary keys and indexes Used to match rows across systems and keep incremental syncs efficient. Jobs / Work Orders Job records carry production status back to sales and customer-facing tools.
What ships with AWS Aurora MySQL ⇄ JobBOSS²

Connect AWS Aurora MySQL and JobBOSS² for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora MySQL–JobBOSS² connection.

Real-time

Two-way sync

Changes in AWS Aurora MySQL or JobBOSS² 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 JobBOSS² 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 JobBOSS² record.

Observability

Monitoring

Track your AWS Aurora MySQL ⇄ JobBOSS² 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 JobBOSS².

How the AWS Aurora MySQL and JobBOSS² 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

JobBOSS²

Integration surface
REST API (vendor-provided; coverage varies by edition and deployment)
Authentication
API key or vendor-issued credentials
Change detection
Polling
Capabilities
read · write
Rate limits
Subject to the platform's API rate limits
How it works

How to connect AWS Aurora MySQL to JobBOSS² — 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 JobBOSS² 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
    JobBOSS² connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the AWS Aurora MySQL and JobBOSS² 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 ⇄ JobBOSS²
    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 JobBOSS²
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

AWS Aurora MySQL and JobBOSS² 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 JobBOSS².

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