Real-time
Two-way sync
Changes in AWS Aurora PostgreSQL or JobBOSS² instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ ERP
AWS Aurora PostgreSQL to JobBOSS² integration — real-time, two-way sync
Keep AWS Aurora PostgreSQL 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 PostgreSQL and JobBOSS²
Give your engineers JobBOSS²'s data in AWS Aurora PostgreSQL: 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 Time Entries, Invoices, Shipments, Customers from JobBOSS² into AWS Aurora PostgreSQL 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 PostgreSQL sync back into JobBOSS² with its validations respected.
Common use cases
- Keep a customer-facing Aurora database aligned with an internal admin tool, with writes accepted on both sides.
- Feed operational dashboards from a read replica while the writer handles sync traffic.
- 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
Where JobBOSS² is the HR system of record: people data for internal systems
Worker and org records stay current in AWS Aurora PostgreSQL for provisioning, access, and reporting systems that read from the database.
Controlled write-back
Choose exactly which tables and fields may flow from AWS Aurora PostgreSQL back into JobBOSS², keeping the ERP authoritative.
Read ERP records with a query
Records from JobBOSS² live in AWS Aurora PostgreSQL as ordinary tables or collections, joinable with the rest of your data.
What you can sync between AWS Aurora PostgreSQL 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 PostgreSQL objects | JobBOSS² objects | |
|---|---|---|
| Rows Inserted, updated, and deleted in both directions during bi-directional syncs. | Routings & Operations Operation steps support scheduling and costing data in external reporting. | |
| Columns Rich Postgres types including JSONB and arrays are mapped to the paired system's fields. | Materials & Inventory Material and stock data feed purchasing and availability checks. | |
| Primary keys and constraints Identify rows for upserts and enforce integrity on sync writes. | Purchase Orders PO data syncs outward for spend and receiving visibility. | |
| Views and materialized views Usable as read-only sources for filtered or precomputed sync datasets. | Vendors Vendor records keep procurement and accounting tools consistent. | |
| Foreign keys Relationship metadata that syncs can translate into object references elsewhere. | Time Entries Shop-floor time data consolidates into costing and payroll reporting. | |
| Replication slots and publications The logical replication objects that power log-based CDC. | Invoices Billing documents flow to accounting and BI systems. |
What ships with AWS Aurora PostgreSQL ⇄ JobBOSS²
Connect AWS Aurora PostgreSQL and JobBOSS² for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora PostgreSQL–JobBOSS² connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever AWS Aurora PostgreSQL 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 PostgreSQL or JobBOSS² record.
Observability
Monitoring
Track your AWS Aurora PostgreSQL ⇄ 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 PostgreSQL and JobBOSS².
How the AWS Aurora PostgreSQL and JobBOSS² connectors work
AWS Aurora PostgreSQL
- Integration surface
- SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC
- Authentication
- Database credentials, optionally AWS IAM database authentication, over TLS
- Change detection
- Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling 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 PostgreSQL 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.
- 01
Connect your apps
Authenticate AWS Aurora PostgreSQL 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.
AWS Aurora PostgreSQL
connected
JobBOSS²
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the AWS Aurora PostgreSQL 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.
objects · AWS Aurora PostgreSQL ⇄ JobBOSS²Customers 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.
AWS Aurora PostgreSQL JobBOSS²Company company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
AWS Aurora PostgreSQL and JobBOSS² integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between AWS Aurora PostgreSQL and JobBOSS²: authenticate both systems, choose the objects to sync (such as AWS Aurora PostgreSQL's Rows and Columns), map fields visually, and changes propagate both ways in milliseconds — no code required.
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On the AWS Aurora PostgreSQL side: Tables, Rows, Columns, Primary keys and constraints, plus custom fields where AWS Aurora PostgreSQL exposes them. On the JobBOSS² side: Time Entries, Invoices, Shipments, Customers. Stacksync auto-detects both schemas and converts types between the two systems.
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Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
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Common patterns for AWS Aurora PostgreSQL and JobBOSS²: Where JobBOSS² is the HR system of record: people data for internal systems; Controlled write-back; Read ERP records with a query. Worker and org records stay current in AWS Aurora PostgreSQL for provisioning, access, and reporting systems that read from the database.
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AWS Aurora PostgreSQL: SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC. Authentication: Database credentials, optionally AWS IAM database authentication, over TLS. JobBOSS²: REST API (vendor-provided; coverage varies by edition and deployment). Authentication: API key or vendor-issued credentials. Stacksync manages authentication, retries, and rate limits on both sides.
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AWS Aurora PostgreSQL: PostgreSQL compatibility means JSONB, arrays, and custom types survive intact when syncing between Aurora and other Postgres-compatible stores. JobBOSS²: As a system built for custom job shops, records like routings and estimates are structured per-job rather than per-catalog-product, which shapes how they map to CRM and accounting objects. Stacksync's field mapping accounts for these differences between AWS Aurora PostgreSQL and JobBOSS² without custom code.
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 AWS Aurora PostgreSQL and JobBOSS².
Popular · 8 of 386
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AWS Aurora PostgreSQL ⇄ Rootstock ERP -
AWS Aurora PostgreSQL ⇄ Sage 100 - AWS Aurora PostgreSQL ⇄ Sage 300
- AWS Aurora PostgreSQL ⇄ Sage Intacct
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JobBOSS² ⇄ Couchbase -
JobBOSS² ⇄ DuckDB -
JobBOSS² ⇄ Elasticsearch -
JobBOSS² ⇄ Google Cloud Spanner
No integrations match .
