Two-way sync
Changes in Amazon Aurora or Coupa instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon Aurora 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 Expense Reports, Requisitions, Purchase Orders, Invoices from Coupa into Materialized Views, Columns and Data Types, Primary and Foreign Keys, Read Replicas in Amazon Aurora and keeps the two in sync bi-directionally and in real time. Your services read finance records with normal queries against Amazon Aurora, and rows your code writes or updates flow back into Coupa with validation, so the finance system stays the system of record.
Updates written to the synced tables in Amazon Aurora propagate into Coupa, so automations can create or correct finance records without custom integration code.
Changes in Coupa appear in Amazon Aurora as row changes, so you can trigger downstream logic with the database tooling you already use.
Customers, invoices, and payments from Coupa live in Amazon Aurora as regular tables or collections your team can join, index, and query.
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.
| Amazon Aurora objects | Coupa objects | How this pairing syncs | |
|---|---|---|---|
| Columns and Data Types Standard MySQL or PostgreSQL types mapped during field mapping. | 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. | Columns and Data Types is specific to Amazon Aurora and Invoices to Coupa — each maps to any object or custom field on the other side. | |
| Primary and Foreign Keys Constraints used to identify records and preserve relational integrity in syncs. | Suppliers Supplier master records; kept aligned with an ERP vendor master and onboarding tools, synced two-way on the /suppliers resource. | Primary and Foreign Keys is specific to Amazon Aurora and Suppliers to Coupa — each maps to any object or custom field on the other side. | |
| Read Replicas Reader endpoints that syncs can target to keep load off the writer. | Users Employee and user accounts with roles and content groups; provisioned and updated from an HRIS or identity provider. | Read Replicas is specific to Amazon Aurora and Users to Coupa — each maps to any object or custom field on the other side. | |
| Databases Logical databases within a cluster that scope a sync connection. | Accounts Chart-of-accounts segments and GL codes; usually mastered in the ERP and written into Coupa so requisitions and invoices code correctly. | Databases is specific to Amazon Aurora and Accounts to Coupa — each maps to any object or custom field on the other side. | |
| Schemas Namespaces (PostgreSQL) or database-level grouping (MySQL) used in table selection. | Contracts Supplier contract records with terms and dates; read out for reporting or created from a CLM system. | Schemas is specific to Amazon Aurora and Contracts to Coupa — each maps to any object or custom field on the other side. | |
| Tables Relational tables synced bi-directionally at row level. | Expense Reports Employee expense reports and their lines; exported to AP or ERP for reimbursement and GL posting. | Tables is specific to Amazon Aurora and Expense Reports 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 Amazon Aurora are captured at the source via change data capture — no polling loop against its API. Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters.
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 Amazon Aurora as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Aurora–Coupa connection.
Changes in Amazon Aurora or Coupa instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon Aurora 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 Amazon Aurora or Coupa record.
Track your Amazon Aurora ⇄ Coupa sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon Aurora 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 Amazon Aurora 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 Amazon Aurora 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 Amazon Aurora and Coupa: authenticate both systems, choose the objects to sync (such as Amazon Aurora's Columns and Data Types and Primary and Foreign Keys), map fields visually, and changes propagate both ways in milliseconds — no code required.
Amazon Aurora: MySQL or PostgreSQL wire protocol (SQL); optional RDS Data API over HTTPS. Authentication: Database credentials or IAM database authentication. 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. Amazon Aurora: Aurora separates compute from a shared distributed storage layer that keeps six copies of data across three Availability Zones. Stacksync's field mapping accounts for these differences between Amazon Aurora 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 Amazon Aurora and Coupa records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Amazon Aurora and Coupa connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Amazon Aurora–Coupa integration in-house.
Yes — Stacksync ships production-grade connectors for both Amazon Aurora and Coupa. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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 429 integrations available for Amazon Aurora and Coupa.