Real-time
Two-way sync
Changes in Orderful or Postgres Heroku instantly reflect in both systems. No stale data, no manual imports.
Business productivity ⇄ Database
Orderful to Postgres Heroku integration — real-time, two-way sync
Keep Orderful and Postgres Heroku 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 Postgres Heroku
Mirror Orderful's data into Postgres Heroku 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 Postgres Heroku.
Stacksync mirrors Validation guidelines, Acknowledgments, Webhook events, Transactions from Orderful into Tables, Views, Materialized Views, Schemas in Postgres Heroku 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
- Mirror transaction statuses and acknowledgments into a database for supply chain visibility dashboards.
- Onboard new retail partners by mapping Orderful's JSON transactions to existing order tables instead of building per-partner EDI maps.
- Sync Heroku Postgres into a warehouse for reporting without running ETL dynos
- Keep several Heroku app databases aligned with one system of record
Read Orderful with a query
Records from Orderful are ordinary rows in Postgres Heroku; 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 Postgres Heroku and Stacksync propagates the change into Orderful, replacing custom integration code.
React to changes as they happen
Updates in Orderful arrive as row changes in Postgres Heroku, so triggers, jobs, and services can respond in near real time.
What you can sync between Orderful and Postgres Heroku
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 | Postgres Heroku objects | |
|---|---|---|
| Acknowledgments 997 functional acknowledgments confirming receipt of transmitted documents | Primary and Unique Keys Match keys for idempotent upserts from connected systems. | |
| Webhook events Push notifications for inbound documents and transaction status changes | JSONB Columns Semi-structured payloads for nested SaaS objects and metadata. | |
| Transactions EDI documents such as 850 purchase orders, 810 invoices, and 856 ship notices, represented as JSON | Sequences Generate surrogate keys for rows created by inbound syncs. | |
| Trading partners The retailers, carriers, and suppliers a company exchanges documents with | Follower Databases Heroku-managed read replicas usable as low-impact sync sources. | |
| Relationships Active partner connections per transaction type that govern what can be sent and received | Tables Standard Postgres tables; the primary two-way sync target for app data. | |
| Validation guidelines Partner-specific rules transactions are checked against before delivery | Views Read-side projections exposed to outbound syncs. |
What ships with Orderful ⇄ Postgres Heroku
Connect Orderful and Postgres Heroku for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Orderful–Postgres Heroku connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Orderful or Postgres Heroku 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 Postgres Heroku record.
Observability
Monitoring
Track your Orderful ⇄ Postgres Heroku 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 Postgres Heroku.
How the Orderful and Postgres Heroku 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
Postgres Heroku
- Integration surface
- SQL wire protocol (standard PostgreSQL)
- Authentication
- Database credentials from the Heroku DATABASE_URL config var; SSL required
- Change detection
- Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings
- Capabilities
- read · write
- Rate limits
- No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan
How it works
How to connect Orderful to Postgres Heroku — 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 Postgres Heroku 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
Postgres Heroku
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Orderful and Postgres Heroku 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 ⇄ Postgres HerokuCustomers 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 Postgres HerokuCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Orderful and Postgres Heroku integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Orderful and Postgres Heroku: authenticate both systems, choose the objects to sync (such as Orderful's Acknowledgments and Webhook events), 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 Postgres Heroku: Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings. 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: Validation guidelines, Acknowledgments, Webhook events, Transactions, plus custom fields where Orderful exposes them. On the Postgres Heroku side: Tables, Views, Materialized Views, Schemas. 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 Postgres Heroku: Read Orderful with a query; Automate Orderful from your codebase; React to changes as they happen. Records from Orderful are ordinary rows in Postgres Heroku; join them, index them, and use them in application logic without touching the vendor API.
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Orderful: REST API (JSON). Authentication: API key. Postgres Heroku: SQL wire protocol (standard PostgreSQL). Authentication: Database credentials from the Heroku DATABASE_URL config var; SSL required. 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 Postgres Heroku.
Popular · 8 of 386
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Orderful ⇄ AWS Aurora MySQL - Orderful ⇄ AWS Aurora PostgreSQL
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Orderful ⇄ MongoDB -
Orderful ⇄ CockroachDB -
Postgres Heroku ⇄ Microsoft 365 -
Postgres Heroku ⇄ Microsoft Dynamics 365 -
Postgres Heroku ⇄ Microsoft Teams -
Postgres Heroku ⇄ NextGen Healthcare
No integrations match .
