Two-way sync
Changes in Amazon Aurora or Rootstock ERP instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon Aurora and Rootstock 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 Inventory Balances, Receipts and Shipments, Salesforce Accounts and Contacts, Sales Orders from Rootstock ERP into Amazon Aurora and keeps both sides consistent in real time. Whatever Rootstock 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 Amazon Aurora sync back into Rootstock ERP with its validations respected.
Scripts and services read and write the synced tables; Stacksync handles the Rootstock ERP interface, limits, and retries.
Updates in Rootstock ERP arrive as row changes in Amazon Aurora, so jobs and triggers can respond as the business record changes.
Worker and org records stay current in Amazon Aurora 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.
| Amazon Aurora objects | Rootstock ERP objects | |
|---|---|---|
| Read Replicas Reader endpoints that syncs can target to keep load off the writer. | Items / Products The manufacturing item master, kept aligned with e-commerce and PLM systems. | |
| Databases Logical databases within a cluster that scope a sync connection. | Bills of Material Multi-level product structures read for costing and planning integrations. | |
| Schemas Namespaces (PostgreSQL) or database-level grouping (MySQL) used in table selection. | Inventory Balances On-hand quantities by site and location, synced to storefronts and WMS. | |
| Tables Relational tables synced bi-directionally at row level. | Receipts and Shipments Inbound and outbound transactions synced to logistics and 3PL systems. | |
| Views Read-only query-backed sources for downstream syncs. | Salesforce Accounts and Contacts Shared CRM masters in the same org, so customer data needs no separate ERP sync. | |
| Materialized Views Precomputed result sets (PostgreSQL-compatible clusters) readable as sources. | Sales Orders Order headers and lines synced to fulfillment, invoicing, and reporting systems. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Aurora–Rootstock ERP connection.
Changes in Amazon Aurora or Rootstock ERP instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon Aurora or Rootstock 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 Amazon Aurora or Rootstock ERP record.
Track your Amazon Aurora ⇄ Rootstock ERP sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon Aurora and Rootstock 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 Amazon Aurora and Rootstock 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 Amazon Aurora and Rootstock 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 Amazon Aurora and Rootstock ERP: authenticate both systems, choose the objects to sync (such as Amazon Aurora's Read Replicas and Databases), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Amazon Aurora and Rootstock ERP. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Amazon Aurora: Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters; polling as a fallback. On Rootstock ERP: Salesforce Change Data Capture on Rootstock custom objects where enabled (entity selection limits apply); SOQL polling on SystemModstamp as fallback. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Amazon Aurora side: Views, Materialized Views, Columns and Data Types, Primary and Foreign Keys, plus custom fields where Amazon Aurora exposes them. On the Rootstock ERP side: Inventory Balances, Receipts and Shipments, Salesforce Accounts and Contacts, Sales 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 Amazon Aurora and Rootstock ERP: Internal tools and automations without API code; React to ERP changes; Where Rootstock ERP is the HR system of record: people data for internal systems. Scripts and services read and write the synced tables; Stacksync handles the Rootstock ERP interface, limits, and retries.
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 Amazon Aurora and Rootstock ERP.