Real-time sync
Changes in AWS Aurora PostgreSQL or E2 Shop System instantly reflect in both systems. No stale data, no manual imports.
Keep AWS Aurora PostgreSQL and E2 Shop System in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
E2 Shop System is a read-only source: Stacksync reads its data in real time and delivers it into AWS Aurora PostgreSQL, so AWS Aurora PostgreSQL always reflects the current state of E2 Shop System — without exports, scripts, or schedulers.
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 Jobs / Work orders, Customers, Vendors, Parts from E2 Shop System into AWS Aurora PostgreSQL and keeps both sides consistent in real time. Whatever E2 Shop System 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 E2 Shop System with its validations respected.
Choose exactly which tables and fields may flow from AWS Aurora PostgreSQL back into E2 Shop System, keeping the ERP authoritative.
Records from E2 Shop System live in AWS Aurora PostgreSQL as ordinary tables or collections, joinable with the rest of your data.
Scripts and services read and write the synced tables; Stacksync handles the E2 Shop System interface, limits, and retries.
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 | E2 Shop System objects | |
|---|---|---|
| Replication slots and publications The logical replication objects that power log-based CDC. | Vendors Supplier records referenced on purchasing documents. | |
| Databases and schemas PostgreSQL's two-level namespace scopes which tables a sync connection targets. | Parts Part masters with routings and material definitions specific to each shop. | |
| Tables The core sync unit; rows are matched across systems by primary key. | Routings / Operations Per-part operation sequences that carry estimated and actual times. | |
| Rows Inserted, updated, and deleted in both directions during bi-directional syncs. | Purchase orders Outside material and service purchases tied to jobs. | |
| Columns Rich Postgres types including JSONB and arrays are mapped to the paired system's fields. | Time tickets Labor collection records used for job costing. | |
| Primary keys and constraints Identify rows for upserts and enforce integrity on sync writes. | Invoices Billing records synced to accounting for AR reporting. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora PostgreSQL–E2 Shop System connection.
Changes in AWS Aurora PostgreSQL or E2 Shop System instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever AWS Aurora PostgreSQL or E2 Shop System 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 E2 Shop System record.
Track your AWS Aurora PostgreSQL ⇄ E2 Shop System sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between AWS Aurora PostgreSQL and E2 Shop System.
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 E2 Shop System 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 E2 Shop System 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 integration between AWS Aurora PostgreSQL and E2 Shop System — E2 Shop System is a read-only source, so data flows from it into the other system: authenticate both systems, choose the objects to sync, map fields visually, and changes propagate in milliseconds — no code required.
E2 Shop System is a read-only source, so this integration runs one-way: Stacksync reads from E2 Shop System in real time and delivers into AWS Aurora PostgreSQL. Field mapping and monitoring work the same as for two-way pairs.
Common patterns for AWS Aurora PostgreSQL and E2 Shop System: Controlled write-back; Read ERP records with a query; Internal tools and automations without API code. Choose exactly which tables and fields may flow from AWS Aurora PostgreSQL back into E2 Shop System, keeping the ERP authoritative.
AWS Aurora PostgreSQL: SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC. Authentication: Database credentials, optionally AWS IAM database authentication, over TLS. E2 Shop System: No broadly documented public web API; integration typically works through the underlying database or application import/export, depending on deployment. Authentication: Database credentials or application-level export access on the on-premises installation. Stacksync manages authentication, retries, and rate limits on both sides.
AWS Aurora PostgreSQL: Replication slots retain WAL for their consumers, so an interrupted CDC sync can resume without losing changes. E2 Shop System: E2 is a Windows-based job shop ERP from Shoptech, now part of ECI Software Solutions, where it has been rebranded as JobBOSS²; most installations run on premises. Stacksync's field mapping accounts for these differences between AWS Aurora PostgreSQL and E2 Shop System without custom code.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means AWS Aurora PostgreSQL and E2 Shop System records are not retained after a sync operation.
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 E2 Shop System.