Two-way sync
Changes in Epicor ERP or PostgreSQL instantly reflect in both systems. No stale data, no manual imports.
Keep Epicor ERP and PostgreSQL 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 AR invoices, Shipments, Bills of materials, Customers from Epicor ERP into PostgreSQL and keeps both sides consistent in real time. Whatever Epicor 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 PostgreSQL sync back into Epicor ERP with its validations respected.
Worker and org records stay current in PostgreSQL for provisioning, access, and reporting systems that read from the database.
Choose exactly which tables and fields may flow from PostgreSQL back into Epicor ERP, keeping the ERP authoritative.
Records from Epicor ERP live in 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.
| Epicor ERP objects | PostgreSQL objects | How this pairing syncs | |
|---|---|---|---|
| Quotes Estimates that pair with CRM opportunities during the sales cycle. | Materialized Views Precomputed result sets synced outward on a refresh schedule. | Quotes is specific to Epicor ERP and Materialized Views to PostgreSQL — each maps to any object or custom field on the other side. | |
| AR invoices Billing records surfaced in CRM or finance tools for collections visibility. | Schemas Namespaces that scope which tables a sync reads and writes. | AR invoices is specific to Epicor ERP and Schemas to PostgreSQL — each maps to any object or custom field on the other side. | |
| Shipments Fulfillment confirmations synced to customer portals and commerce systems. | Columns Field-level mapping targets; types are mapped to the connected system's field types. | Shipments is specific to Epicor ERP and Columns to PostgreSQL — each maps to any object or custom field on the other side. | |
| Bills of materials Methods of manufacturing read for costing and planning integrations. | Primary and Unique Keys Used as match keys for idempotent upserts and conflict resolution. | Bills of materials is specific to Epicor ERP and Primary and Unique Keys to PostgreSQL — each maps to any object or custom field on the other side. | |
| Customers Master records synced with CRM accounts so sales and the ERP agree on ownership and credit status. | JSONB Columns Hold semi-structured payloads such as nested SaaS objects or metadata. | Customers is specific to Epicor ERP and JSONB Columns to PostgreSQL — each maps to any object or custom field on the other side. | |
| Suppliers Vendor masters kept aligned with procurement and AP automation tools. | Sequences Generate surrogate keys for rows created by inbound syncs. | Suppliers is specific to Epicor ERP and Sequences to PostgreSQL — each maps to any object or custom field on the other side. |
Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.
DetectionStacksync polls Epicor ERP for changes on an incremental schedule, reading only records changed since the previous pass. Polling on change-date fields.
DeliveryEach detected change is applied to PostgreSQL as a row-level write, with types converted between the two schemas.
DetectionChanges in PostgreSQL are captured at the source via change data capture — no polling loop against its API. Logical replication (wal_level = logical) for change data capture via the "Postgres" connector.
DeliveryEach detected change is written to Epicor ERP through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Epicor ERP–PostgreSQL connection.
Changes in Epicor ERP or PostgreSQL instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Epicor ERP or PostgreSQL data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Epicor ERP or PostgreSQL record.
Track your Epicor ERP ⇄ PostgreSQL sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Epicor ERP and PostgreSQL.
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 Epicor ERP and PostgreSQL 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 Epicor ERP and PostgreSQL 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 Epicor ERP and PostgreSQL: authenticate both systems, choose the objects to sync (such as Epicor ERP's Quotes and AR invoices), map fields visually, and changes propagate both ways in milliseconds — no code required.
PostgreSQL: Composite primary keys are not supported; a single auto-generated primary key column is required. Epicor ERP: Deployments span the Kinetic SaaS cloud and on-premise installs, and available API versions and endpoints differ between them. Stacksync's field mapping accounts for these differences between Epicor ERP and PostgreSQL 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 Epicor ERP and PostgreSQL records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Epicor ERP and PostgreSQL connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Epicor ERP–PostgreSQL integration in-house.
Yes — Stacksync ships production-grade connectors for both Epicor ERP and PostgreSQL. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Epicor ERP: Polling on change-date fields; outbound calls can be wired through BPM directives, but there is no standard webhook subscription surface. On PostgreSQL: Logical replication (wal_level = logical) for change data capture via the "Postgres" connector; database triggers (TRIGGER grant + stacksync_logging schema) via the trigger-based "Postgres Heroku" connector where. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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 549 integrations available for Epicor ERP and PostgreSQL.