Two-way sync
Changes in AWS Aurora MySQL or Extensiv (3PL Central) instantly reflect in both systems. No stale data, no manual imports.
Keep AWS Aurora MySQL and Extensiv (3PL Central) 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 Orders, Receivers, Shipments, Warehouses from Extensiv (3PL Central) into AWS Aurora MySQL and keeps both sides consistent in real time. Whatever Extensiv (3PL Central) 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 Extensiv (3PL Central) with its validations respected.
Records from Extensiv (3PL Central) live in AWS Aurora MySQL as ordinary tables or collections, joinable with the rest of your data.
Scripts and services read and write the synced tables; Stacksync handles the Extensiv (3PL Central) interface, limits, and retries.
Updates in Extensiv (3PL Central) arrive as row changes in AWS Aurora MySQL, so jobs and triggers can respond as the business record changes.
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 | Extensiv (3PL Central) objects | |
|---|---|---|
| Databases (schemas) Logical namespaces that scope which tables a sync connection can see. | Receivers Inbound receiving records (receipts/ASNs) that confirm stock arrival back to purchasing systems. | |
| Tables The primary sync unit; each table maps one-to-one to a table or object in the paired system. | Shipments Carrier and tracking details synced back once orders ship. | |
| Rows Inserted, updated, and deleted individually or in bulk during two-way syncs. | Warehouses Facility records that partition inventory and order routing. | |
| Columns MySQL data types are mapped to the paired system's field types during schema setup. | Inventory adjustments Manual stock corrections that reconciliation syncs need to capture. | |
| Primary keys and indexes Used to match rows across systems and keep incremental syncs efficient. | Customers The 3PL's clients; nearly every other record is scoped to one, so syncs carry customer context on each call. | |
| Views Can serve as read-only sync sources for derived or filtered datasets. | Items SKU masters kept aligned between the merchant's systems and the warehouse. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora MySQL–Extensiv (3PL Central) connection.
Changes in AWS Aurora MySQL or Extensiv (3PL Central) instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever AWS Aurora MySQL or Extensiv (3PL Central) 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 Extensiv (3PL Central) record.
Track your AWS Aurora MySQL ⇄ Extensiv (3PL Central) sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between AWS Aurora MySQL and Extensiv (3PL Central).
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 Extensiv (3PL Central) 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 Extensiv (3PL Central) 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 Extensiv (3PL Central): authenticate both systems, choose the objects to sync (such as AWS Aurora MySQL's Databases (schemas) and Tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the AWS Aurora MySQL side: Stored procedures and triggers, Databases (schemas), Tables, Rows, plus custom fields where AWS Aurora MySQL exposes them. On the Extensiv (3PL Central) side: Orders, Receivers, Shipments, Warehouses. 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 Extensiv (3PL Central): Read ERP records with a query; Internal tools and automations without API code; React to ERP changes. Records from Extensiv (3PL Central) live in AWS Aurora MySQL as ordinary tables or collections, joinable with the rest of your data.
AWS Aurora MySQL: SQL wire protocol (MySQL-compatible), standard MySQL drivers and JDBC. Authentication: Database credentials, optionally AWS IAM database authentication, over TLS. Extensiv (3PL Central): REST API. Authentication: Short-lived access tokens obtained from integration client credentials (client ID and secret). Stacksync manages authentication, retries, and rate limits on both sides.
AWS Aurora MySQL: Aurora MySQL is wire-compatible with MySQL, so any standard MySQL driver, ORM, or CDC tooling works without modification. Extensiv (3PL Central): The REST API emits webhook events for order, receipt, adjustment, item, and inventory changes, so status updates can flow back without tight polling loops. Stacksync's field mapping accounts for these differences between AWS Aurora MySQL and Extensiv (3PL Central) 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 Extensiv (3PL Central).