Two-way sync
Changes in Coupa or Google Cloud SQL instantly reflect in both systems. No stale data, no manual imports.
Keep Coupa and Google Cloud SQL 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 Requisitions, Purchase Orders, Invoices, Suppliers from Coupa into Databases, Schemas, Tables, Rows in Google Cloud SQL and keeps the two in sync bi-directionally and in real time. Your services read finance records with normal queries against Google Cloud SQL, 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 Google Cloud SQL propagate into Coupa, so automations can create or correct finance records without custom integration code.
Changes in Coupa appear in Google Cloud SQL as row changes, so you can trigger downstream logic with the database tooling you already use.
Customers, invoices, and payments from Coupa live in Google Cloud SQL 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.
| Coupa objects | Google Cloud SQL 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. | Tables Mapped directly to sync targets; schema changes can be propagated. | Accounts is specific to Coupa and Tables to Google Cloud SQL — 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. | Rows Read and written by primary key during each sync cycle. | Contracts is specific to Coupa and Rows to Google Cloud SQL — 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. | Views Read-only sources for shaping data before syncing it out. | Expense Reports is specific to Coupa and Views to Google Cloud SQL — 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. | Transaction logs MySQL binlog or PostgreSQL WAL, the source for log-based change capture. | Requisitions is specific to Coupa and Transaction logs to Google Cloud SQL — 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. | Instances The managed MySQL, PostgreSQL, or SQL Server server a sync connects to. | Purchase Orders is specific to Coupa and Instances to Google Cloud SQL — 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. | Databases Scope the tables included in a sync configuration. | Invoices is specific to Coupa and Databases to Google Cloud SQL — 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 Google Cloud SQL as a row-level write, with types converted between the two schemas.
DetectionChanges in Google Cloud SQL are captured at the source via change data capture — no polling loop against its API. Engine-dependent log-based CDC: MySQL binlog, PostgreSQL logical replication, SQL Server change tracking.
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–Google Cloud SQL connection.
Changes in Coupa or Google Cloud SQL instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Coupa or Google Cloud SQL 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 Google Cloud SQL record.
Track your Coupa ⇄ Google Cloud SQL sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Coupa and Google Cloud SQL.
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 Google Cloud SQL 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 Google Cloud SQL 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 Google Cloud SQL: 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.
On the Coupa side: Requisitions, Purchase Orders, Invoices, Suppliers, plus custom fields where Coupa exposes them. On the Google Cloud SQL side: Databases, Schemas, Tables, Rows. 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 Google Cloud SQL: Write back safely; React to financial events; Query finance data like any other data. Updates written to the synced tables in Google Cloud SQL propagate into Coupa, so automations can create or correct finance records without custom integration code.
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. Google Cloud SQL: Native SQL wire protocols (MySQL, PostgreSQL, SQL Server) plus a REST admin API for instance management. Authentication: Database credentials; IAM database authentication is available for MySQL and PostgreSQL. Stacksync manages authentication, retries, and rate limits on both sides.
Coupa: Authentication is OAuth 2.0 client-credentials with 24-hour access tokens and granular service.object.right scopes; legacy API keys are being retired (no new keys since R34, unsupported from R36). Google Cloud SQL: Change capture is engine-specific: binlog replication on MySQL, logical replication slots on PostgreSQL, and change tracking or CDC features on SQL Server. Stacksync's field mapping accounts for these differences between Coupa and Google Cloud SQL without custom code.
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 430 integrations available for Coupa and Google Cloud SQL.