Real-time
Two-way sync
Changes in Orderful or Scaleway Postgres instantly reflect in both systems. No stale data, no manual imports.
Business productivity ⇄ Database
Orderful to Scaleway Postgres integration — real-time, two-way sync
Keep Orderful and Scaleway Postgres in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
- SOC 2 and 6 other compliance frameworks
- POC with real engineers in minutes
Adopted by fast-scaling companies moving mission-critical data in real time
Case study
Migrated from Mulesoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Orderful and Scaleway Postgres
Mirror Orderful's data into Scaleway Postgres so your own code can read and write it like any other table, with changes flowing both ways in seconds.
Engineers integrate with tools like Orderful through APIs, which means auth, pagination, rate limits, webhooks, and retry logic, all maintained forever and all different for every tool. Meanwhile the data would be trivial to use if it simply lived in Scaleway Postgres.
Stacksync mirrors Transactions, Trading partners, Relationships, Validation guidelines from Orderful into Materialized views, Schemas, Sequences, Columns in Scaleway Postgres and keeps both sides in sync in real time. Your services query the database directly, and inserts or updates your code makes flow back into Orderful, so the tool and the database never disagree.
Common use cases
- Push invoices and advance ship notices from the ERP through Orderful to retail trading partners.
- Mirror transaction statuses and acknowledgments into a database for supply chain visibility dashboards.
- Sync production tables from Scaleway Postgres into a CRM so sales and support see live product usage on customer records
- Run a two-way sync between Scaleway Postgres and SaaS tools so edits made in either system converge on the same rows
One integration pattern for the whole stack
Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
Read Orderful with a query
Records from Orderful are ordinary rows in Scaleway Postgres; join them, index them, and use them in application logic without touching the vendor API.
Automate Orderful from your codebase
Write to the synced tables in Scaleway Postgres and Stacksync propagates the change into Orderful, replacing custom integration code.
What you can sync between Orderful and Scaleway Postgres
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.
| Orderful objects | Scaleway Postgres objects | |
|---|---|---|
| Validation guidelines Partner-specific rules transactions are checked against before delivery | Sequences Generate primary keys; sync tooling must respect them when writing rows. | |
| Acknowledgments 997 functional acknowledgments confirming receipt of transmitted documents | Columns Postgres-native types, including JSONB and arrays, are mapped to fields in the paired system. | |
| Webhook events Push notifications for inbound documents and transaction status changes | Tables Primary sync unit; each table maps to an object or table on the other side of the sync. | |
| Transactions EDI documents such as 850 purchase orders, 810 invoices, and 856 ship notices, represented as JSON | Views Read-only sources for shaping data before it leaves the database. | |
| Trading partners The retailers, carriers, and suppliers a company exchanges documents with | Materialized views Precomputed result sets that can be read on a schedule for downstream syncs. | |
| Relationships Active partner connections per transaction type that govern what can be sent and received | Schemas Namespace tables so multiple applications or environments can be synced selectively. |
What ships with Orderful ⇄ Scaleway Postgres
Connect Orderful and Scaleway Postgres for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Orderful–Scaleway Postgres connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Orderful or Scaleway Postgres data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
At scale
Event queues
Handle millions of events per minute without losing a single Orderful or Scaleway Postgres record.
Observability
Monitoring
Track your Orderful ⇄ Scaleway Postgres sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Orderful and Scaleway Postgres.
How the Orderful and Scaleway Postgres connectors work
Orderful
- Integration surface
- REST API (JSON)
- Authentication
- API key
- Change detection
- webhooks push inbound transactions and status events; polling available as fallback
- Capabilities
- read · write · webhooks
- Rate limits
- subject to the platform's API rate limits
Scaleway Postgres
- Integration surface
- SQL wire protocol (PostgreSQL)
- Authentication
- Database credentials (username/password over TLS)
- Change detection
- Log-based CDC via PostgreSQL logical replication where the managed instance permits it; otherwise timestamp or query-based polling
- Capabilities
- read · write · CDC
- Rate limits
- Throughput is bounded by instance size and connection limits rather than API quotas
How it works
How to connect Orderful to Scaleway Postgres — three steps, no code
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.
- 01
Connect your apps
Authenticate Orderful and Scaleway Postgres with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Orderful
connected
Scaleway Postgres
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Orderful and Scaleway Postgres 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.
objects · Orderful ⇄ Scaleway PostgresCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Orderful Scaleway PostgresCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Orderful and Scaleway Postgres integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Orderful and Scaleway Postgres: authenticate both systems, choose the objects to sync (such as Orderful's Validation guidelines and Acknowledgments), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Change detection on Orderful: Webhooks push inbound transactions and status events; polling available as fallback. On Scaleway Postgres: Log-based CDC via PostgreSQL logical replication where the managed instance permits it; otherwise timestamp or query-based polling. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Orderful side: Transactions, Trading partners, Relationships, Validation guidelines, plus custom fields where Orderful exposes them. On the Scaleway Postgres side: Materialized views, Schemas, Sequences, Columns. Stacksync auto-detects both schemas and converts types between the two systems.
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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.
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Common patterns for Orderful and Scaleway Postgres: One integration pattern for the whole stack; Read Orderful with a query; Automate Orderful from your codebase. Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
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Orderful: REST API (JSON). Authentication: API key. Scaleway Postgres: SQL wire protocol (PostgreSQL). Authentication: Database credentials (username/password over TLS). Stacksync manages authentication, retries, and rate limits on both sides.
SECURITY
Security teams love Stacksync
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.
SOC 2 type II
ISO 27001
HIPAA BAA
GDPR
CCPA
CSA STAR
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS
SSO & SCIM
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Alerts
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Secure connection options
Securely connects to your systems with:
Related integrations
Every pair below is a real-time, two-way sync. Search all 386 integrations available for Orderful and Scaleway Postgres.
Popular · 8 of 386
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Orderful ⇄ IBM Db2 -
Orderful ⇄ Firebase -
Orderful ⇄ SingleStore -
Orderful ⇄ Amazon Aurora -
Scaleway Postgres ⇄ Zendesk -
Scaleway Postgres ⇄ Campfire -
Scaleway Postgres ⇄ Front -
Scaleway Postgres ⇄ Amazon Seller Central
No integrations match .
