Two-way sync
Changes in AWS Aurora PostgreSQL or Rootstock ERP instantly reflect in both systems. No stale data, no manual imports.
Keep AWS Aurora PostgreSQL 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 Purchase Orders, Items / Products, Bills of Material, Inventory Balances from Rootstock ERP into AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL sync back into Rootstock ERP with its validations respected.
Worker and org records stay current in AWS Aurora PostgreSQL for provisioning, access, and reporting systems that read from the database.
Choose exactly which tables and fields may flow from AWS Aurora PostgreSQL back into Rootstock ERP, keeping the ERP authoritative.
Records from Rootstock ERP live in AWS Aurora PostgreSQL as ordinary tables or collections, joinable with the rest of your data.
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 | Rootstock ERP objects | |
|---|---|---|
| Databases and schemas PostgreSQL's two-level namespace scopes which tables a sync connection targets. | Sales Orders Order headers and lines synced to fulfillment, invoicing, and reporting systems. | |
| Tables The core sync unit; rows are matched across systems by primary key. | Work Orders Manufacturing execution records synced to MES, scheduling, and analytics tools. | |
| Rows Inserted, updated, and deleted in both directions during bi-directional syncs. | Purchase Orders Procurement documents synced with supplier portals and AP systems. | |
| Columns Rich Postgres types including JSONB and arrays are mapped to the paired system's fields. | Items / Products The manufacturing item master, kept aligned with e-commerce and PLM systems. | |
| Primary keys and constraints Identify rows for upserts and enforce integrity on sync writes. | Bills of Material Multi-level product structures read for costing and planning integrations. | |
| Views and materialized views Usable as read-only sources for filtered or precomputed sync datasets. | Inventory Balances On-hand quantities by site and location, synced to storefronts and WMS. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora PostgreSQL–Rootstock ERP connection.
Changes in AWS Aurora PostgreSQL or Rootstock ERP instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL or Rootstock ERP record.
Track your AWS Aurora PostgreSQL ⇄ Rootstock ERP sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL and Rootstock ERP: authenticate both systems, choose the objects to sync (such as AWS Aurora PostgreSQL's Databases and schemas and Tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on AWS Aurora PostgreSQL: Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp 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 AWS Aurora PostgreSQL side: Tables, Rows, Columns, Primary keys and constraints, plus custom fields where AWS Aurora PostgreSQL exposes them. On the Rootstock ERP side: Purchase Orders, Items / Products, Bills of Material, Inventory Balances. 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 Rootstock ERP: Where Rootstock ERP 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.
AWS Aurora PostgreSQL: SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC. Authentication: Database credentials, optionally AWS IAM database authentication, over TLS. Rootstock ERP: Salesforce Platform APIs (REST, SOAP, Bulk) — Rootstock data lives in Salesforce custom objects. Authentication: OAuth 2.0 (standard Salesforce connected app flows). Stacksync manages authentication, retries, and rate limits on both sides.
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 Rootstock ERP.