Two-way sync
Changes in Apache Druid or Coupa instantly reflect in both systems. No stale data, no manual imports.
Keep Apache Druid 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.
Finance data belongs in the warehouse: revenue, invoices, payments, and customers joined with everything else the business measures. Getting it there usually means an extraction pipeline that breaks quietly and delivers yesterday's numbers.
Stacksync syncs Purchase Orders, Invoices, Suppliers, Users from Coupa into tables in Apache Druid in real time, and the connection works in both directions: values computed in Apache Druid can be written back to fields in Coupa where you want them operational. Schema changes are handled, API limits are managed, and the sync is something you configure rather than code you maintain.
A continuously synced copy in Apache Druid gives you a durable, queryable record of financial data for month-end and audit questions.
Invoices, payments, and customer records from Coupa arrive in Apache Druid as queryable tables, current within seconds instead of a day behind.
Analysts combine Coupa's financial records with product, marketing, or operational data already in Apache Druid for reporting the finance system cannot do alone.
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.
| Apache Druid objects | Coupa objects | How this pairing syncs | |
|---|---|---|---|
| Lookups Key-value mappings joined at query time, refreshable from external systems. | 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. | Lookups is specific to Apache Druid and Invoices to Coupa — each maps to any object or custom field on the other side. | |
| Tasks Batch ingestion and compaction jobs monitored during data loads. | Suppliers Supplier master records; kept aligned with an ERP vendor master and onboarding tools, synced two-way on the /suppliers resource. | Tasks is specific to Apache Druid and Suppliers to Coupa — each maps to any object or custom field on the other side. | |
| Datasources The table-like unit of storage and querying, the main target of reads and ingestion. | Users Employee and user accounts with roles and content groups; provisioned and updated from an HRIS or identity provider. | Datasources is specific to Apache Druid and Users to Coupa — each maps to any object or custom field on the other side. | |
| Segments Time-partitioned immutable files that hold datasource data; ingestion produces them. | Accounts Chart-of-accounts segments and GL codes; usually mastered in the ERP and written into Coupa so requisitions and invoices code correctly. | Segments is specific to Apache Druid and Accounts to Coupa — each maps to any object or custom field on the other side. | |
| Dimensions String and categorical columns used for filtering and grouping in synced queries. | Contracts Supplier contract records with terms and dates; read out for reporting or created from a CLM system. | Dimensions is specific to Apache Druid and Contracts to Coupa — each maps to any object or custom field on the other side. | |
| Metrics Numeric columns, often pre-aggregated at ingestion via rollup. | Expense Reports Employee expense reports and their lines; exported to AP or ERP for reimbursement and GL posting. | Metrics is specific to Apache Druid 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.
DetectionStacksync polls Apache Druid for changes on an incremental schedule, reading only records changed since the previous pass. Data enters Druid through streaming or batch ingestion rather than row updates.
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 Apache Druid as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Druid–Coupa connection.
Changes in Apache Druid or Coupa instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Druid 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 Apache Druid or Coupa record.
Track your Apache Druid ⇄ Coupa sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Druid 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 Apache Druid 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 Apache Druid 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 Apache Druid and Coupa: authenticate both systems, choose the objects to sync (such as Apache Druid's Lookups and Tasks), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Apache Druid and Coupa. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Apache Druid: Not applicable for reads out (polling by time interval); data enters Druid through streaming or batch ingestion rather than row updates. 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. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Coupa side: Purchase Orders, Invoices, Suppliers, Users, plus custom fields where Coupa exposes them. On the Apache Druid side: Segments, Dimensions, Metrics, Ingestion Supervisors. 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 Apache Druid and Coupa: Queryable history for audit and reconciliation; Finance analytics without ETL; Revenue joined with everything else. A continuously synced copy in Apache Druid gives you a durable, queryable record of financial data for month-end and audit questions.
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 435 integrations available for Apache Druid and Coupa.