Two-way sync
Changes in AWS Aurora PostgreSQL or Global Shop Solutions instantly reflect in both systems. No stale data, no manual imports.
Keep AWS Aurora PostgreSQL and Global Shop Solutions in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
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 Vendors, Parts and inventory, Sales orders, Purchase orders from Global Shop Solutions into AWS Aurora PostgreSQL and keeps both sides consistent in real time. Whatever Global Shop Solutions 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 Global Shop Solutions with its validations respected.
Scripts and services read and write the synced tables; Stacksync handles the Global Shop Solutions interface, limits, and retries.
Updates in Global Shop Solutions arrive as row changes in AWS Aurora PostgreSQL, so jobs and triggers can respond as the business record changes.
Worker and org records stay current in AWS Aurora PostgreSQL for provisioning, access, and reporting systems that read from the database.
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 | Global Shop Solutions objects | |
|---|---|---|
| Rows Inserted, updated, and deleted in both directions during bi-directional syncs. | Vendors Supplier records aligned with purchasing and AP tools. | |
| Columns Rich Postgres types including JSONB and arrays are mapped to the paired system's fields. | Parts and inventory Item masters and stock levels mirrored to quoting and e-commerce tools. | |
| Primary keys and constraints Identify rows for upserts and enforce integrity on sync writes. | Sales orders Order headers and lines read for status visibility and reporting. | |
| Views and materialized views Usable as read-only sources for filtered or precomputed sync datasets. | Purchase orders Procurement records matched against receipts and invoices. | |
| Foreign keys Relationship metadata that syncs can translate into object references elsewhere. | Work orders and jobs Shop-floor jobs whose status feeds scheduling dashboards. | |
| Replication slots and publications The logical replication objects that power log-based CDC. | Routings and BOMs Manufacturing structures read for costing and planning analysis. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora PostgreSQL–Global Shop Solutions connection.
Changes in AWS Aurora PostgreSQL or Global Shop Solutions instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever AWS Aurora PostgreSQL or Global Shop Solutions data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single AWS Aurora PostgreSQL or Global Shop Solutions record.
Track your AWS Aurora PostgreSQL ⇄ Global Shop Solutions sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between AWS Aurora PostgreSQL and Global Shop Solutions.
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.
Authenticate AWS Aurora PostgreSQL and Global Shop Solutions with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the AWS Aurora PostgreSQL and Global Shop Solutions 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between AWS Aurora PostgreSQL and Global Shop Solutions: 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.
On the AWS Aurora PostgreSQL side: Rows, Columns, Primary keys and constraints, Views and materialized views, plus custom fields where AWS Aurora PostgreSQL exposes them. On the Global Shop Solutions side: Vendors, Parts and inventory, Sales orders, Purchase orders. Stacksync auto-detects both schemas and converts types between the two systems.
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.
Common patterns for AWS Aurora PostgreSQL and Global Shop Solutions: Internal tools and automations without API code; React to ERP changes; Where Global Shop Solutions is the HR system of record: people data for internal systems. Scripts and services read and write the synced tables; Stacksync handles the Global Shop Solutions interface, limits, and retries.
AWS Aurora PostgreSQL: SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC. Authentication: Database credentials, optionally AWS IAM database authentication, over TLS. Global Shop Solutions: Vendor-provided integration interfaces; many integrations read from the underlying relational database, depending on deployment. Authentication: Vendor-issued or database credentials, depending on the integration path. Stacksync manages authentication, retries, and rate limits on both sides.
AWS Aurora PostgreSQL: Logical replication uses publications and replication slots, so CDC reads changes from the write-ahead log without polling production tables. Global Shop Solutions: Global Shop Solutions is sold as a single integrated suite for job shops, so master data such as parts, jobs, and customers already lives in one system, which simplifies extraction. Stacksync's field mapping accounts for these differences between AWS Aurora PostgreSQL and Global Shop Solutions without custom code.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 386 integrations available for AWS Aurora PostgreSQL and Global Shop Solutions.