Two-way sync
Changes in Coupa or PostgreSQL instantly reflect in both systems. No stale data, no manual imports.
Keep Coupa 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.
Engineers need finance data more often than finance systems make it easy to get: for internal tools, reporting services, or logic that reacts to invoices and payments. Working through the vendor API means rate limits, pagination, and glue code that has to be maintained forever.
Stacksync mirrors Contracts, Expense Reports, Requisitions, Purchase Orders from Coupa into JSONB Columns, Sequences, Custom Types and Enums, Tables in PostgreSQL and keeps the two in sync bi-directionally and in real time. Your services read finance records with normal queries against PostgreSQL, and rows your code writes or updates flow back into Coupa with validation, so the finance system stays the system of record.
Changes in Coupa appear in PostgreSQL as row changes, so you can trigger downstream logic with the database tooling you already use.
Customers, invoices, and payments from Coupa live in PostgreSQL as regular tables or collections your team can join, index, and query.
Build dashboards and back-office tools directly on PostgreSQL; Stacksync handles the API calls, rate limits, and retries against Coupa.
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.
| Coupa objects | PostgreSQL objects | How this pairing syncs | |
|---|---|---|---|
| Accounts Chart-of-accounts segments and GL codes; usually mastered in the ERP and written into Coupa so requisitions and invoices code correctly. | Views Read-side projections used to expose joined or filtered data to a sync. | Accounts is specific to Coupa and Views to PostgreSQL — each maps to any object or custom field on the other side. | |
| Contracts Supplier contract records with terms and dates; read out for reporting or created from a CLM system. | Materialized Views Precomputed result sets synced outward on a refresh schedule. | Contracts is specific to Coupa and Materialized Views to PostgreSQL — each maps to any object or custom field on the other side. | |
| Expense Reports Employee expense reports and their lines; exported to AP or ERP for reimbursement and GL posting. | Schemas Namespaces that scope which tables a sync reads and writes. | Expense Reports is specific to Coupa and Schemas to PostgreSQL — each maps to any object or custom field on the other side. | |
| Requisitions Employee purchase requests with lines and approval chains; read out to warehouses, or created via the API from upstream intake tools. | Columns Field-level mapping targets; types are mapped to the connected system's field types. | Requisitions is specific to Coupa and Columns to PostgreSQL — each maps to any object or custom field on the other side. | |
| Purchase Orders PO headers and lines; synced two-way with ERPs so orders raised in Coupa flow to the ledger and status updates flow back on the /purchase_orders resource. | Primary and Unique Keys Used as match keys for idempotent upserts and conflict resolution. | Purchase Orders is specific to Coupa and Primary and Unique Keys to PostgreSQL — each maps to any object or custom field on the other side. | |
| Invoices Supplier/AP invoices with lines and approval status; polled out to accounting and ERP systems for the pay cycle, or created through the API. | JSONB Columns Hold semi-structured payloads such as nested SaaS objects or metadata. | Invoices is specific to Coupa and JSONB Columns 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 Coupa for changes on an incremental schedule, reading only records changed since the previous pass. Polling on updated-at and created-at filters (e.g.
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 Coupa through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Coupa–PostgreSQL connection.
Changes in Coupa or PostgreSQL instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Coupa 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 Coupa or PostgreSQL record.
Track your Coupa ⇄ PostgreSQL sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Coupa 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 Coupa 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 Coupa 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 Coupa and PostgreSQL: authenticate both systems, choose the objects to sync (such as Coupa's Accounts and Contracts), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Coupa and PostgreSQL. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Coupa: Polling on updated-at and created-at filters (e.g. updated-at[gt]=<timestamp>); Coupa has no native webhook subscriptions, though admins can configure outbound Call Out / external notifications. 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.
On the Coupa side: Contracts, Expense Reports, Requisitions, Purchase Orders, plus custom fields where Coupa exposes them. On the PostgreSQL side: JSONB Columns, Sequences, Custom Types and Enums, Tables. 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 Coupa and PostgreSQL: React to financial events; Query finance data like any other data; Internal tools without API plumbing. Changes in Coupa appear in PostgreSQL as row changes, so you can trigger downstream logic with the database tooling you already use.
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 540 integrations available for Coupa and PostgreSQL.