Two-way sync
Changes in AWS Aurora MySQL or Plex ERP instantly reflect in both systems. No stale data, no manual imports.
Keep AWS Aurora MySQL and Plex ERP 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 Suppliers, Shipments, Quality records, Parts from Plex ERP into AWS Aurora MySQL and keeps both sides consistent in real time. Whatever Plex ERP 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 Plex ERP with its validations respected.
Scripts and services read and write the synced tables; Stacksync handles the Plex ERP interface, limits, and retries.
Updates in Plex ERP arrive as row changes in AWS Aurora MySQL, so jobs and triggers can respond as the business record changes.
Worker and org records stay current in AWS Aurora MySQL 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 MySQL objects | Plex ERP objects | |
|---|---|---|
| Primary keys and indexes Used to match rows across systems and keep incremental syncs efficient. | Sales orders Demand records written in from e-commerce or EDI channels and read out for fulfillment status | |
| Views Can serve as read-only sync sources for derived or filtered datasets. | Purchase orders Procurement records mirrored to accounting and planning systems | |
| Foreign keys Express relationships that syncs preserve when mapping to related objects elsewhere. | Customers Account records kept consistent with the sales team's CRM | |
| Stored procedures and triggers Existing database logic keeps firing on rows written by a sync. | Suppliers Vendor records aligned with procurement and AP tools | |
| Databases (schemas) Logical namespaces that scope which tables a sync connection can see. | Shipments Outbound logistics records synced to trading partners and tracking systems | |
| Tables The primary sync unit; each table maps one-to-one to a table or object in the paired system. | Quality records Checksheet and inspection data pulled into plant dashboards |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora MySQL–Plex ERP connection.
Changes in AWS Aurora MySQL or Plex ERP instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever AWS Aurora MySQL or Plex ERP 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 MySQL or Plex ERP record.
Track your AWS Aurora MySQL ⇄ Plex ERP sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between AWS Aurora MySQL and Plex ERP.
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 MySQL and Plex ERP 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 MySQL and Plex ERP 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 MySQL and Plex ERP: authenticate both systems, choose the objects to sync (such as AWS Aurora MySQL's Primary keys and indexes and Views), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the AWS Aurora MySQL side: Primary keys and indexes, Views, Foreign keys, Stored procedures and triggers, plus custom fields where AWS Aurora MySQL exposes them. On the Plex ERP side: Suppliers, Shipments, Quality records, Parts. 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 MySQL and Plex ERP: Internal tools and automations without API code; React to ERP changes; Where Plex ERP is the HR system of record: people data for internal systems. Scripts and services read and write the synced tables; Stacksync handles the Plex ERP interface, limits, and retries.
AWS Aurora MySQL: SQL wire protocol (MySQL-compatible), standard MySQL drivers and JDBC. Authentication: Database credentials, optionally AWS IAM database authentication, over TLS. Plex ERP: REST APIs plus legacy SOAP web services. Authentication: API keys issued through the Plex Developer Portal. Stacksync manages authentication, retries, and rate limits on both sides.
AWS Aurora MySQL: Read replicas share the cluster storage volume, letting syncs read from a replica endpoint without adding load to the writer. Plex ERP: A large part of Plex's integration surface is exposed as callable data sources, parameterized endpoints mapping to specific queries or actions, alongside newer REST APIs. Stacksync's field mapping accounts for these differences between AWS Aurora MySQL and Plex ERP 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 MySQL and Plex ERP.