Two-way sync
Changes in AWS Aurora PostgreSQL or Coupa instantly reflect in both systems. No stale data, no manual imports.
Keep AWS Aurora PostgreSQL and Coupa 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 Accounts, Contracts, Expense Reports, Requisitions from Coupa into Tables, Rows, Columns, Primary keys and constraints in AWS Aurora PostgreSQL and keeps the two in sync bi-directionally and in real time. Your services read finance records with normal queries against AWS Aurora PostgreSQL, and rows your code writes or updates flow back into Coupa with validation, so the finance system stays the system of record.
Customers, invoices, and payments from Coupa live in AWS Aurora PostgreSQL as regular tables or collections your team can join, index, and query.
Build dashboards and back-office tools directly on AWS Aurora PostgreSQL; Stacksync handles the API calls, rate limits, and retries against Coupa.
Updates written to the synced tables in AWS Aurora PostgreSQL propagate into Coupa, so automations can create or correct finance records without custom integration code.
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 | Coupa objects | How this pairing syncs | |
|---|---|---|---|
| Foreign keys Relationship metadata that syncs can translate into object references elsewhere. | Expense Reports Employee expense reports and their lines; exported to AP or ERP for reimbursement and GL posting. | Foreign keys is specific to AWS Aurora PostgreSQL and Expense Reports to Coupa — each maps to any object or custom field on the other side. | |
| Replication slots and publications The logical replication objects that power log-based CDC. | Requisitions Employee purchase requests with lines and approval chains; read out to warehouses, or created via the API from upstream intake tools. | Replication slots and publications is specific to AWS Aurora PostgreSQL and Requisitions to Coupa — each maps to any object or custom field on the other side. | |
| Databases and schemas PostgreSQL's two-level namespace scopes which tables a sync connection targets. | 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. | Databases and schemas is specific to AWS Aurora PostgreSQL and Purchase Orders to Coupa — each maps to any object or custom field on the other side. | |
| Tables The core sync unit; rows are matched across systems by primary key. | 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. | Tables is specific to AWS Aurora PostgreSQL and Invoices to Coupa — each maps to any object or custom field on the other side. | |
| Rows Inserted, updated, and deleted in both directions during bi-directional syncs. | Suppliers Supplier master records; kept aligned with an ERP vendor master and onboarding tools, synced two-way on the /suppliers resource. | Rows is specific to AWS Aurora PostgreSQL and Suppliers to Coupa — each maps to any object or custom field on the other side. | |
| Columns Rich Postgres types including JSONB and arrays are mapped to the paired system's fields. | Users Employee and user accounts with roles and content groups; provisioned and updated from an HRIS or identity provider. | Columns is specific to AWS Aurora PostgreSQL and Users to Coupa — 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.
DetectionChanges in AWS Aurora PostgreSQL are captured at the source via change data capture — no polling loop against its API. Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback.
DeliveryEach detected change is written to Coupa through its API, with automatic retries and rate-limit backoff.
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 AWS Aurora PostgreSQL as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora PostgreSQL–Coupa connection.
Changes in AWS Aurora PostgreSQL or Coupa instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever AWS Aurora PostgreSQL or Coupa 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 Coupa record.
Track your AWS Aurora PostgreSQL ⇄ Coupa sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between AWS Aurora PostgreSQL and Coupa.
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 Coupa 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 Coupa 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 Coupa: authenticate both systems, choose the objects to sync (such as AWS Aurora PostgreSQL's Foreign keys and Replication slots and publications), map fields visually, and changes propagate both ways in milliseconds — no code required.
Common patterns for AWS Aurora PostgreSQL and Coupa: Query finance data like any other data; Internal tools without API plumbing; Write back safely. Customers, invoices, and payments from Coupa live in AWS Aurora PostgreSQL as regular tables or collections your team can join, index, and query.
AWS Aurora PostgreSQL: SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC. Authentication: Database credentials, optionally AWS IAM database authentication, over TLS. Coupa: REST Core API (JSON or XML). Authentication: OAuth 2.0 / OIDC via the client-credentials grant; scopes take the service.object.right form (e.g. core.accounting.read, core.accounting.write). Legacy API keys are being retired (no new keys since R34; API-key auth unsupported from R36). Access tokens last 24 hours. Stacksync manages authentication, retries, and rate limits on both sides.
Coupa: The Core API returns 50 records per page, so large object pulls must paginate with offset/limit, which makes full backfills slow. AWS Aurora PostgreSQL: Aurora's storage layer replicates data six ways across three Availability Zones and is shared by up to 15 read replicas. Stacksync's field mapping accounts for these differences between AWS Aurora PostgreSQL and Coupa 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 Coupa records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed AWS Aurora PostgreSQL and Coupa connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom AWS Aurora PostgreSQL–Coupa integration in-house.
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 447 integrations available for AWS Aurora PostgreSQL and Coupa.