Two-way sync
Changes in Coupa or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.
Keep Coupa and TimescaleDB 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 Views, Schemas, Hypertables, Chunks in TimescaleDB and keeps the two in sync bi-directionally and in real time. Your services read finance records with normal queries against TimescaleDB, 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 TimescaleDB as regular tables or collections your team can join, index, and query.
Build dashboards and back-office tools directly on TimescaleDB; Stacksync handles the API calls, rate limits, and retries against Coupa.
Updates written to the synced tables in TimescaleDB 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.
| Coupa objects | TimescaleDB objects | How this pairing syncs | |
|---|---|---|---|
| Contracts Supplier contract records with terms and dates; read out for reporting or created from a CLM system. | Schemas Postgres namespaces used to separate synced datasets by team or environment. | Contracts is specific to Coupa and Schemas to TimescaleDB — 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. | Hypertables Time-partitioned tables that hold the main time-series data; the primary read and write target in syncs. | Expense Reports is specific to Coupa and Hypertables to TimescaleDB — 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. | Chunks Time-bounded partitions of a hypertable; syncs read and write through the parent hypertable and never address chunks directly. | Requisitions is specific to Coupa and Chunks to TimescaleDB — 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. | Continuous Aggregates Incrementally maintained rollups that serve as pre-aggregated read sources for downstream systems. | Purchase Orders is specific to Coupa and Continuous Aggregates to TimescaleDB — 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. | Regular PostgreSQL Tables Relational reference data such as devices, tenants, or accounts synced alongside the series data. | Invoices is specific to Coupa and Regular PostgreSQL Tables to TimescaleDB — each maps to any object or custom field on the other side. | |
| Suppliers Supplier master records; kept aligned with an ERP vendor master and onboarding tools, synced two-way on the /suppliers resource. | Views Standard SQL views used to shape or filter data for consumers. | Suppliers is specific to Coupa and Views to TimescaleDB — 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 TimescaleDB as a row-level write, with types converted between the two schemas.
DetectionChanges in TimescaleDB are captured at the source via change data capture — no polling loop against its API. Log-based capture via PostgreSQL logical decoding where the deployment allows it — hypertable changes surface on the underlying chunk tables and must.
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–TimescaleDB connection.
Changes in Coupa or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Coupa or TimescaleDB 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 TimescaleDB record.
Track your Coupa ⇄ TimescaleDB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Coupa and TimescaleDB.
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 TimescaleDB 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 TimescaleDB 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 TimescaleDB: authenticate both systems, choose the objects to sync (such as Coupa's Contracts and Expense Reports), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Coupa and TimescaleDB. 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 TimescaleDB: Log-based capture via PostgreSQL logical decoding where the deployment allows it — hypertable changes surface on the underlying chunk tables and must be remapped to the parent — or timestamp-based polling on time columns; regular Postgres tables replicate through standard logical replication. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Coupa side: Expense Reports, Requisitions, Purchase Orders, Invoices, plus custom fields where Coupa exposes them. On the TimescaleDB side: Views, Schemas, Hypertables, Chunks. 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 TimescaleDB: Query finance data like any other data; Internal tools without API plumbing; Write back safely. Customers, invoices, and payments from Coupa live in TimescaleDB as regular tables or collections your team can join, index, and query.
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 424 integrations available for Coupa and TimescaleDB.